Maria-Esther Vidal - researchr profile publications

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Publications with a 'Maria-Esther Vidal' as author, editor, or advisor:

EffTE: a dependency-aware approach for test-driven ontology developmentLavdim Halilaj, Irlán Grangel-González, Steffen Lohmann, Maria-Esther Vidal, Sören Auer. SAC 2018: 1976-1983 [doi]
Flexible and efficient querying and ranking on hyperlinked data sourcesRamakrishna Varadarajan, Vagelis Hristidis, Louiqa Raschid, Maria-Esther Vidal, Luis Ibáñez, Héctor Rodríguez-Drumond. edbt 2009: 553-564 [doi]
Finding Cross Genome Patterns in Annotation GraphsJoseph Benik, Caren Chang, Louiqa Raschid, Maria-Esther Vidal, Guillermo Palma, Andreas Thor. dils 2012: 21-36 [doi]
Trust, Accountability, and Autonomy in Knowledge Graph-Based AI for Self-DeterminationLuis Daniel Ibáñez, John Domingue, Sabrina Kirrane, Oshani Seneviratne, Aisling Third, Maria-Esther Vidal. tgdk, 1(1), 2023. [doi]
Path-based Systems to Guide Scientists in the Maze of Biological Data SourcesSarah Cohen Boulakia, Susan B. Davidson, Christine Froidevaux, Zoé Lacroix, Maria-Esther Vidal. jbcb, 4(5):1069-1096, 2006. [doi]
The industry 4.0 standards landscape from a semantic integration perspectiveIrlán Grangel-González, Paul Baptista, Lavdim Halilaj, Steffen Lohmann, Maria-Esther Vidal, Christian Mader, Sören Auer. etfa 2017: 1-8 [doi]
SAP-KG: Synonym Predicate Analyzer Across Multiple Knowledge GraphsEmetis Niazmand, Maria-Esther Vidal. esws 2023: 48-53 [doi]
Traversing the Linking Open Data Cloud to Create News from TweetsFrancisco Berrizbeita, Maria-Esther Vidal. otm 2014: 479-488 [doi]
Joint Proceedings of the 1st International Workshop On Semantics For Transport and the 1st International Workshop on Approaches for Making Data Interoperable co-located with 15th Semantics Conference (SEMANTiCS 2019), Karlsruhe, Germany, September 9, 2019Lucie-Aimée Kaffee, Kemele M. Endris, Maria-Esther Vidal, Marco Comerio, Mersedeh Sadeghi, David Chaves-Fraga, Pieter Colpaert, editors, Volume 2447 of CEUR Workshop Proceedings, CEUR-WS.org, 2019. [doi]
PURE: A Privacy Aware Rule-Based Framework over Knowledge GraphsMarlene Goncalves, Maria-Esther Vidal, Kemele M. Endris. DEXA 2019: 205-214 [doi]
SAANSET: Semi-Automated Acquisition of Scholarly Metadata Using OpenResearch.org PlatformRebaz Omar, Sahar Vahdati, Christoph Lange 0002, Maria-Esther Vidal, Andreas Behrend. semco 2018: 41-48 [doi]
Co-evolution of RDF DatasetsSidra Faisal, Kemele M. Endris, Saeedeh Shekarpour, Sören Auer, Maria-Esther Vidal. ICWE 2016: 225-243 [doi]
Evaluation of metadata representations in RDF storesJohannes Frey, Kay Müller, Sebastian Hellmann, Erhard Rahm, Maria-Esther Vidal. semweb, 10(2):205-229, 2019. [doi]
Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments' toxicitiesAhmad Sakor, Samaneh Jozashoori, Emetis Niazmand, Ariam Rivas, Konstantinos Bougiatiotis, Fotis Aisopos, Enrique Iglesias, Philipp D. Rohde, Trupti Padiya, Anastasia Krithara, Georgios Paliouras, Maria-Esther Vidal. ws, 75:100760, 2023. [doi]
Cooperative Information Systems - 29th International Conference, CoopIS 2023, Groningen, The Netherlands, October 30 - November 3, 2023, ProceedingsMohamed Sellami, Maria-Esther Vidal, Boudewijn F. van Dongen, Walid Gaaloul, Hervé Panetto, editors, Volume 14353 of Lecture Notes in Computer Science, Springer, 2024. [doi]
Using Quality of Data Metadata for Source Selection and RankingGeorge A. Mihaila, Louiqa Raschid, Maria-Esther Vidal. webdb 2001: 93-98 [doi]
A sampling-based approach to identify QoS for web service orchestrationsEduardo Blanco, Yudith Cardinale, Maria-Esther Vidal. iiwas 2010: 25-32 [doi]
Considering Semantics on the Discovery of Relations in Knowledge GraphsIgnacio Traverso Ribón, Guillermo Palma, Alejandro Flores 0001, Maria-Esther Vidal. ekaw 2016: 666-680 [doi]
SemLAV: Querying Deep Web and Linked Open Data with SPARQLPauline Folz, Gabriela Montoya, Hala Skaf-Molli, Pascal Molli, Maria-Esther Vidal. esws 2014: 332-337 [doi]
Trusting Decentralised Knowledge Graphs and Web Data at the Web ConferenceJohn Domingue, Aisling Third, Maria-Esther Vidal, Philipp D. Rohde, Juan Cano, Andrea Cimmino, Ruben Verborgh. WWW 2023: 1422-1423 [doi]
HARE: A Hybrid SPARQL Engine to Enhance Query Answers via CrowdsourcingMaribel Acosta, Elena Simperl, Fabian Flöck, Maria-Esther Vidal. kcap 2015: [doi]
GRAPHIUM: Visualizing Performance of Graph and RDF Engines on Linked DataAlejandro Flores, Guillermo Palma, Maria-Esther Vidal, Domingo De Abreu, Valeria Pestana, José Piñero, Jonathan Queipo, José Sánchez 0001. semweb 2013: 133-136 [doi]
What Are the Parameters that Affect the Construction of a Knowledge Graph?David Chaves-Fraga, Kemele M. Endris, Enrique Iglesias, Óscar Corcho, Maria-Esther Vidal. otm 2019: 695-713 [doi]
BioNavigation: Selecting Optimum Paths Through Biological Resources to Evaluate Ontological Navigational QueriesZoé Lacroix, Kaushal Parekh, Maria-Esther Vidal, Marelis Cardenas, Natalia Marquez. dils 2005: 275-283 [doi]
Editorial: Special Issue on Web Data QualityChristian Bizer, Luna Dong, Ihab Ilyas, Maria-Esther Vidal. jdiq, 8(1), 2016. [doi]
Resource Discovery - Third International Workshop, RED 2010, Paris, France, November 5, 2010, Revised Selected PapersZoé Lacroix, Maria-Esther Vidal, editors, Volume 6799 of Lecture Notes in Computer Science, Springer, 2012. [doi]
A Heuristic-Based Approach for Planning Federated SPARQL QueriesGabriela Montoya, Maria-Esther Vidal, Maribel Acosta. semweb 2012: [doi]
XWebSOGO: an ontology language to describe and query web sourcesEdna Ruckhaus, Maria-Esther Vidal. widm 2003: 62-65 [doi]
iASiS: Towards Heterogeneous Big Data Analysis for Personalized MedicineAnastasia Krithara, Fotis Aisopos, Vassiliki Rentoumi, Anastasios Nentidis, Konstantinos Bougiatiotis, Maria-Esther Vidal, Ernestina Menasalvas, Alejandro Rodríguez González, Eleftherios Samaras, Peter Garrard, Maria Torrente, Mariano Provencio Pulla, Nikos Dimakopoulos, Rui Mauricio, Jordi Rambla De Argila, Gian Gaetano Tartaglia, George Paliouras. cbms 2019: 106-111 [doi]
Knowledge Graphs for Semantically Integrating Cyber-Physical SystemsIrlán Grangel-González, Lavdim Halilaj, Maria-Esther Vidal, Omar Rana, Steffen Lohmann, Sören Auer, Andreas W. Müller. DEXA 2018: 184-199 [doi]
FedSDM: Semantic Data Manager for Federations of RDF DatasetsKemele M. Endris, Maria-Esther Vidal, Sören Auer. dils 2019: 85-90 [doi]
The Semantic Web - 19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29 - June 2, 2022, ProceedingsPaul Groth, Maria-Esther Vidal, Fabian M. Suchanek, Pedro A. Szekely, Pavan Kapanipathi, Catia Pesquita, Hala Skaf-Molli, Minna Tamper, editors, Volume 13261 of Lecture Notes in Computer Science, Springer, 2022. [doi]
Efficient Processing of Semantically Represented Sensor DataFarah Karim, Maria-Esther Vidal, Sören Auer. webist 2017: 252-259 [doi]
Querying Interlinked Data by Bridging RDF Molecule TemplatesKemele M. Endris, Mikhail Galkin, Ioanna Lytra, Mohamed Nadjib Mami, Maria-Esther Vidal, Sören Auer. tlsdkcs, 39:1-42, 2018. [doi]
Maritime data technology landscape and value chain exploiting oceans of data for maritime applicationsJosé Ferreira, Carlos Agostinho, Rui Lopes, Konstantinos Chatzikokolakis, Dimitris Zissis, Maria-Esther Vidal, Spyros Mouzakitis. ice-itmc 2017: 1113-1122 [doi]
Drug-Target Interaction Prediction Using Semantic Similarity and Edge PartitioningGuillermo Palma, Maria-Esther Vidal, Louiqa Raschid. semweb 2014: 131-146 [doi]
MateTee: A Semantic Similarity Metric Based on Translation Embeddings for Knowledge GraphsCamilo Morales, Diego Collarana, Maria-Esther Vidal, Sören Auer. ICWE 2017: 246-263 [doi]
Optimization of Wrappers and Mediators for Web Accessible Data Sources (WebSources)Laura Bright, Louiqa Raschid, Maria-Esther Vidal. widm 1998: 40-44
Implementing a Bioinformatics Pipeline (BIP) on a Mediator Platform: Comparing Cost and Quality of Alternate ChoicesBarbara A. Eckman, Terry Gaasterland, Zoé Lacroix, Louiqa Raschid, Ben Snyder, Maria-Esther Vidal. icde 2006: 67 [doi]
MapSDI: A Scaled-Up Semantic Data Integration Framework for Knowledge Graph CreationSamaneh Jozashoori, Maria-Esther Vidal. otm 2019: 58-75 [doi]
GARUM: A Semantic Similarity Measure Based on Machine Learning and Entity CharacteristicsIgnacio Traverso Ribón, Maria-Esther Vidal. DEXA 2018: 169-183 [doi]
How to benchmark RDF engines and not die tryingTomas Lampo, Amadís Martínez, Edna Ruckhaus, Maria-Esther Vidal. semweb 2010: [doi]
Experience: Open Fiscal Datasets, Common Issues, and RecommendationsFathoni A. Musyaffa, Christiane Engels, Maria-Esther Vidal, Fabrizio Orlandi, Sören Auer. jdiq, 9(4), 2018. [doi]
Trav-SHACL: Efficiently Validating Networks of SHACL ConstraintsMónica Figuera, Philipp D. Rohde, Maria-Esther Vidal. WWW 2021: 3337-3348 [doi]
SemLAV: Local-As-View Mediation for SPARQL QueriesGabriela Montoya, Luis Daniel Ibáñez, Hala Skaf-Molli, Pascal Molli, Maria-Esther Vidal. tlsdkcs, 13:33-58, 2014. [doi]
BioNav: An Ontology-Based Framework to Discover Semantic Links in the Cloud of Linked DataMaria-Esther Vidal, Louiqa Raschid, Natalia Marquez, Jean Carlo Rivera, Edna Ruckhaus. esws 2010: 441-445 [doi]
Reaching the Top of the Skyline: An Efficient Indexed Algorithm for Top-k Skyline QueriesMarlene Goncalves, Maria-Esther Vidal. DEXA 2009: 471-485 [doi]
IOTA: Interlinking of heterogeneous multilingual open fiscal DaTAFathoni A. Musyaffa, Maria-Esther Vidal, Fabrizio Orlandi, Jens Lehmann 0001, Hajira Jabeen. eswa, 147:113135, 2020. [doi]
Resorting to Context-Aware Background Knowledge for Unveiling Semantically Related Social Media PostsAhmad Sakor, Kuldeep Singh 0001, Maria-Esther Vidal. access, 10:115351-115371, 2022. [doi]
SHEPHERD: A Shipping-Based Query Processor to Enhance SPARQL Endpoint PerformanceMaribel Acosta, Maria-Esther Vidal, Fabian Flöck, Simón Castillo, Carlos Buil Aranda, Andreas Harth. semweb 2014: 453-456 [doi]
Analyzing a Knowledge Graph of Industry 4.0 StandardsIrlán Grangel-González, Maria-Esther Vidal. WWW 2021: 16-25 [doi]
A Data-Driven Approach for Analyzing Healthcare Services Extracted from Clinical RecordsManuel Scurti, Ernestina Menasalvas Ruiz, Maria-Esther Vidal, Maria Torrente, Dimitrios Vogiatzis, George Paliouras, Mariano Provencio, Alejandro Rodríguez González. cbms 2020: 193-196 [doi]
Knowledge Graph Creation Challenge: Results for SDM-RDFizerEnrique Iglesias, Maria-Esther Vidal. esws 2023: [doi]
Measuring the Performance of Continuous Query Processing Approaches with dief@t and dief@kMaribel Acosta, Maria-Esther Vidal. semweb 2017: [doi]
Evaluation Paths to Express Scientific QueriesZoé Lacroix, Kaushal Parekh, Maria-Esther Vidal. dexaw 2004: 371-375 [doi]
An authority-flow based ranking approach to discover potential novel associations between Linked DataMaria-Esther Vidal, Jean Carlo Rivera, Luis Daniel Ibáñez, Louiqa Raschid, Guillermo Palma, Héctor Rodriguez-Drumond, Edna Ruckhaus. semweb, 5(1):23-46, 2014. [doi]
SerVCS: Serialization Agnostic Ontology Development in Distributed SettingsLavdim Halilaj, Irlán Grangel-González, Maria-Esther Vidal, Steffen Lohmann, Sören Auer. ic3k 2019: 213-232 [doi]
Integration of Scholarly Communication Metadata Using Knowledge GraphsAfshin Sadeghi, Christoph Lange 0002, Maria-Esther Vidal, Sören Auer. ercimdl 2017: 328-341 [doi]
Creating and Capturing Artificial Emotions in Autonomous Robots and Software AgentsClaus Hoffmann, Pascal Linden, Maria-Esther Vidal. jwe, 20(4):933-970, 2021. [doi]
Proceedings of the 7th Workshop on Managing the Evolution and Preservation of the Data Web (MEPDaW) co-located with the 20th International Semantic Web Conference (ISWC 2021), Virtual event, October 25th, 2021Fabrizio Orlandi, Damien Graux, Júlio Cesar dos Reis, Maria-Esther Vidal, editors, Volume 3225 of CEUR Workshop Proceedings, CEUR-WS.org, 2022. [doi]
Discover Relations in the Industry 4.0 Standards Via Unsupervised Learning on Knowledge Graph EmbeddingsAriam Rivas, Irlán Grangel-González, Diego Collarana, Jens Lehmann 0001, Maria-Esther Vidal. rpjdi, 2(3):326-347, 2021. [doi]
The Semantic Web - 15th International Conference, ESWC 2018, Heraklion, Crete, Greece, June 3-7, 2018, ProceedingsAldo Gangemi, Roberto Navigli, Maria-Esther Vidal, Pascal Hitzler, Raphaël Troncy, Laura Hollink, Anna Tordai, Mehwish Alam, editors, Volume 10843 of Lecture Notes in Computer Science, Springer, 2018. [doi]
An automatic method for the enrichment of DICOM metadata using biomedical ontologiesWilson Perez, Andres Tello, Victor Saquicela, Maria-Esther Vidal, Alexandra La Cruz. embc 2015: 2551-2554 [doi]
On the Move to Meaningful Internet Systems: OTM 2016 Workshops - Confederated International Workshops: EI2N, FBM, ICSP, Meta4eS, and OTMA 2016, Rhodes, Greece, October 24-28, 2016, Revised Selected PapersIoana Ciuciu, Christophe Debruyne, Hervé Panetto, Georg Weichhart, Peter Bollen, Anna Fensel, Maria-Esther Vidal, editors, Volume 10034 of Lecture Notes in Computer Science, Springer, 2017. [doi]
Ranking and Clustering Techniques to Support an Efficient E-DemocracyMarlene Goncalves, Maria-Esther Vidal, Francisco Castro, Luis Vidal, Maribel Acosta. otm 2012: 298-301 [doi]
Challenges of Quality-Driven Resource DiscoveryBernd Amann, Laure Berti-Equille, Zoé Lacroix, Maria-Esther Vidal. red 2012: 181-189 [doi]
Proceedings of the ISWC 2015 Doctoral Consortium Co-located with the 14th International Semantic Web Conference (ISWC 2015), Bethlehem, Pennsylvania, October 12th, 2015Fabio Ciravegna, Maria-Esther Vidal, editors, Volume 1491 of CEUR Workshop Proceedings, CEUR-WS.org, 2015. [doi]
On the Efficiency of Querying and Storing RDF DocumentsMaria-Esther Vidal, Amadís Martínez, Edna Ruckhaus, Tomas Lampo, Javier Sierra. In Sherif Sakr, Eric Pardede, editors, Graph Data Management: Techniques and Applications. pages 354-385, IGI Global, 2011. [doi]
Exploiting Semantics from Ontologies and Shared Annotations to Find Patterns in Annotated Linked Open DataGuillermo Palma, Maria-Esther Vidal, Louiqa Raschid, Andreas Thor. semweb 2013: 15-29 [doi]
Semantic Web Collaborative Spaces - Second International Workshop, SWCS 2013, Montpellier, France, May 27, 2013, Third International Workshop, SWCS 2014, Trentino, Italy, October 19, 2014, Revised Selected and Invited PapersPascal Molli, John G. Breslin, Maria-Esther Vidal, editors, Volume 9507 of Lecture Notes in Computer Science, Springer, 2016. [doi]
Encoding Knowledge Graph Entity Aliases in Attentive Neural Network for Wikidata Entity LinkingIsaiah Onando Mulang, Kuldeep Singh 0001, Akhilesh Vyas, Saeedeh Shekarpour, Maria-Esther Vidal, Sören Auer. wise 2020: 328-342 [doi]
BioNavigation: Using Ontologies to Express Meaningful Navigational Queries Over Biological ResourcesZoé Lacroix, Kaushal Parekh, Maria-Esther Vidal, Marelis Cardenas, Natalia Marquez, Louiqa Raschid. csb 2005: 137-138 [doi]
Joint Proceedings of the QuWeDa and MEPDaW 2023: 7th Workshop on Storing, Querying and Benchmarking Knowledge Graphs and 9th Workshop on Managing the Evolution and Preservation of the Data Web co-located with 22nd International Semantic Web Conference (ISWC 2023), Athens, Greece, 6-10 November 2023Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, Damien Graux, Fabrizio Orlandi, Emetis Niazmand, Gabriela Ydler, Maria-Esther Vidal, editors, Volume 3565 of CEUR Workshop Proceedings, CEUR-WS.org, 2023. [doi]
Compilation of Query-Rewriting Problems into Tractable Fragments of Propositional LogicYolifé Arvelo, Blai Bonet, Maria-Esther Vidal. AAAI 2006: 225-230
SMJoin: A Multi-way Join Operator for SPARQL QueriesMikhail Galkin, Kemele M. Endris, Maribel Acosta, Diego Collarana, Maria-Esther Vidal, Sören Auer. i-semantics 2017: 104-111 [doi]
EABlock: a declarative entity alignment block for knowledge graph creation pipelinesSamaneh Jozashoori, Ahmad Sakor, Enrique Iglesias, Maria-Esther Vidal. SAC 2022: 1908-1916 [doi]
Mobile teleradiology system suitable for m-health services supporting content and semantic based image retrieval on a grid infrastructureAlexandra La Cruz, Rubén Medina, Francisco Vega, Wilson Perez, Blanca Ochoa, Victor Saquicela, Mauricio Espinoza, Lizandro D. Solano-Quinde, Maria-Esther Vidal. embc 2016: 5380-5383 [doi]
Bias in data-driven artificial intelligence systems - An introductory surveyEirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju, Vasileios Iosifidis, Wolfgang Nejdl, Maria-Esther Vidal, Salvatore Ruggieri, Franco Turini, Symeon Papadopoulos, Emmanouil Krasanakis, Ioannis Kompatsiaris, Katharina Kinder-Kurlanda, Claudia Wagner, Fariba Karimi 0001, Miriam Fernández, Harith Alani, Bettina Berendt, Tina Kruegel, Christian Heinze, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab. widm, 10(3), 2020. [doi]
Efficient evaluation of queries in a mediator for WebSourcesVladimir Zadorozhny, Louiqa Raschid, Maria-Esther Vidal, Tolga Urhan, Laura Bright. SIGMOD 2002: 85-96 [doi]
Capturing Knowledge in Semantically-typed Relational Patterns to Enhance Relation LinkingKuldeep Singh, Isaiah Onando Mulang, Ioanna Lytra, Mohamad Yaser Jaradeh, Ahmad Sakor, Maria-Esther Vidal, Christoph Lange 0002, Sören Auer. kcap 2017: [doi]
Efficiently Producing the K Nearest Neighbors in the Skyline on Vertically Partitioned TablesMarlene Goncalves, Maria-Esther Vidal. ijirr, 3(2):58-77, 2013. [doi]
Managing Knowledge in Energy Data SpacesValentina Janev, Maria-Esther Vidal, Kemele M. Endris, Dea Pujic. WWW 2021: 7-15 [doi]
The BigDataEurope Platform - Supporting the Variety Dimension of Big DataSören Auer, Simon Scerri, Aad Versteden, Erika Pauwels, Angelos Charalambidis, Stasinos Konstantopoulos, Jens Lehmann, Hajira Jabeen, Ivan Ermilov, Gezim Sejdiu, Andreas Ikonomopoulos, Spyros Andronopoulos, Mandy Vlachogiannis, Charalambos Pappas, Athanasios Davettas, Iraklis A. Klampanos, Efstathios Grigoropoulos, Vangelis Karkaletsis, Victor de Boer, Ronald Siebes, Mohamed Nadjib Mami, Sergio Albani, Michele Lazzarini, Paulo Nunes, Emanuele Angiuli, Nikiforos Pittaras, George Giannakopoulos, Giorgos Argyriou, George Stamoulis, George Papadakis 0001, Manolis Koubarakis, Pythagoras Karampiperis, Axel-Cyrille Ngonga Ngomo, Maria-Esther Vidal. ICWE 2017: 41-59 [doi]
Efficiently Joining Group Patterns in SPARQL QueriesMaria-Esther Vidal, Edna Ruckhaus, Tomas Lampo, Amadís Martínez, Javier Sierra, Axel Polleres. esws 2010: 228-242 [doi]
Analyzing Linked Data Quality with LiQuateEdna Ruckhaus, Oriana Baldizan, Maria-Esther Vidal. otm 2013: 629-638 [doi]
To Cache or Not To Cache: The Effects of Warming Cache in Complex SPARQL QueriesTomas Lampo, Maria-Esther Vidal, Juan Danilow, Edna Ruckhaus. otm 2011: 716-733 [doi]
Proceedings of the 6th Workshop on Managing the Evolution and Preservation of the Data Web (MEPDaW) co-located with the 19th International Semantic Web Conference (ISWC 2020), Virtual event (instead of Athens, Greece), November 1st, 2020Fabrizio Orlandi, Damien Graux, Maria-Esther Vidal, Javier D. Fernández, Jeremy Debattista, editors, Volume 2821 of CEUR Workshop Proceedings, CEUR-WS.org, 2020. [doi]
Challenges for Healthcare Data Analytics Over Knowledge GraphsMaria-Esther Vidal, Emetis Niazmand, Philipp D. Rohde, Enrique Iglesias, Ahmad Sakor. tlsdkcs, 54:89-118, 2023. [doi]
Graphium Chrysalis: Exploiting Graph Database Engines to Analyze RDF GraphsAlejandro Flores 0001, Maria-Esther Vidal, Guillermo Palma. esws 2014: 326-331 [doi]
Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical recordsAkhilesh Vyas, Fotis Aisopos, Maria-Esther Vidal, Peter Garrard, Georgios Paliouras. midm, 22(1):271, 2022. [doi]
SILURIAN: a Sparql vIsuaLizer for UndeRstanding querIes And federatioNsSimón Castillo, Guillermo Palma, Maria-Esther Vidal. semweb 2013: 137-140 [doi]
A Cost-based Optimizer for SPARQL QueriesEdna Ruckhaus, Maria-Esther Vidal, Eduardo Ruiz, Javier Sierra. esws 2008: [doi]
Techniques to Produce Optimal Web Service CompositionsEduardo Blanco, Yudith Cardinale, Maria-Esther Vidal, JesÃºs Graterol. services 2008: 553-558 [doi]
Ranking target objects of navigational queriesLouiqa Raschid, Yao Wu, Woei-Jyh Lee, Maria-Esther Vidal, Panayiotis Tsaparas, Padmini Srinivasan, Aditya Kumar Sehgal. widm 2006: 27-34 [doi]
Why Reinvent the Wheel: Let's Build Question Answering Systems TogetherKuldeep Singh, Arun Sethupat Radhakrishna, Andreas Both, Saeedeh Shekarpour, Ioanna Lytra, Ricardo Usbeck, Akhilesh Vyas, Akmal Khikmatullaev, Dharmen Punjani, Christoph Lange 0002, Maria-Esther Vidal, Jens Lehmann, Sören Auer. WWW 2018: 1247-1256 [doi]
Decomposing federated queries in presence of replicated fragmentsGabriela Montoya, Hala Skaf-Molli, Pascal Molli, Maria-Esther Vidal. ws, 42:1-18, 2017. [doi]
Federated SPARQL Queries Processing with Replicated FragmentsGabriela Montoya, Hala Skaf-Molli, Pascal Molli, Maria-Esther Vidal. semweb 2015: 36-51 [doi]
QAestro - Semantic-Based Composition of Question Answering PipelinesKuldeep Singh, Ioanna Lytra, Maria-Esther Vidal, Dharmen Punjani, Harsh Thakkar, Christoph Lange 0002, Sören Auer. DEXA 2017: 19-34 [doi]
Combining Multiple Knowledge Sources: A Case Study of Drug Induced Liver InjuryCasey Lynnette Overby, Alejandro Flores 0001, Guillermo Palma, Maria-Esther Vidal, Elena Zotkina, Louiqa Raschid. dils 2015: 3-12 [doi]
A Deductive Approach for Resource Interoperability and Well-Defined WorkflowsNadia Yacoubi Ayadi, Zoé Lacroix, Maria-Esther Vidal. otm 2008: 998-1009 [doi]
PLANET: Query Plan Visualizer for Shipping Policies against Single SPARQL EndpointsMaribel Acosta, Maria-Esther Vidal, Fabian Flöck, Simón Castillo, Andreas Harth. semweb 2014: 189-192 [doi]
Can Knowledge Graphs Contribute to Personalized Therapies?Maria-Esther Vidal. esws 2023: [doi]
Context-Based Entity Matching for Big DataMayesha Tasnim, Diego Collarana, Damien Graux, Maria-Esther Vidal. In Valentina Janev, Damien Graux, Hajira Jabeen, Emanuel Sallinger, editors, Knowledge Graphs and Big Data Processing. Volume 12072 of Lecture Notes in Computer Science, pages 122-146, Springer, 2020. [doi]
Preferred Skyline: A Hybrid Approach Between SQLf and SkylineMarlene Goncalves, Maria-Esther Vidal. DEXA 2005: 375-384 [doi]
Alligator: A Deductive Approach for the Integration of Industry 4.0 StandardsIrlán Grangel-González, Diego Collarana, Lavdim Halilaj, Steffen Lohmann, Christoph Lange 0002, Maria-Esther Vidal, Sören Auer. ekaw 2016: 272-287 [doi]
Data Integration in the Life Sciences - 13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018, ProceedingsSören Auer, Maria-Esther Vidal, editors, Volume 11371 of Lecture Notes in Computer Science, Springer, 2019. [doi]
OpenBudgets.eu: A Platform for Semantically Representing and Analyzing Open Fiscal DataFathoni A. Musyaffa, Lavdim Halilaj, Yakun Li, Fabrizio Orlandi, Hajira Jabeen, Sören Auer, Maria-Esther Vidal. ICWE 2018: 433-447 [doi]
Proceedings of the Fourth International Workshop on REsource Discovery, RED@ESWC 2011, Heraklion, Greece, May 30, 2011Maria-Esther Vidal, Edna Ruckhaus, Zoé Lacroix, editors, Volume 737 of CEUR Workshop Proceedings, CEUR-WS.org, 2011. [doi]
On the Selection of SPARQL Endpoints to Efficiently Execute Federated SPARQL QueriesMaria-Esther Vidal, Simón Castillo, Maribel Acosta, Gabriela Montoya, Guillermo Palma. tlsdkcs, 25:109-149, 2016. [doi]
Resource Discovery - 5th International Workshop, RED 2012, Co-located with the 9th Extended Semantic Web Conference, ESWC 2012, Heraklion, Greece, May 27, 2012, Revised Selected PapersZoé Lacroix, Edna Ruckhaus, Maria-Esther Vidal, editors, Volume 8194 of Lecture Notes in Computer Science, Springer, 2013. [doi]
Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media postsJosé Alberto Benítez-Andrades, María Teresa García-Ordás, Mayra Russo, Ahmad Sakor, Luis Daniel Fernandes Rotger, Maria-Esther Vidal. semweb, 14(5):873-892, 2023. [doi]
Towards Semantification of Big Data TechnologyMohamed Nadjib Mami, Simon Scerri, Sören Auer, Maria-Esther Vidal. dawak 2016: 376-390 [doi]
Exploiting information content and semantics to accurately compute similarity of GO-based annotated entitiesIgnacio Traverso Ribón, Maria-Esther Vidal. cibcb 2015: 1-8 [doi]
Leibniz Data Manager - A Research Data Management SystemAnna Beer, Mauricio Brunet, Vibhav Srivastava, Maria-Esther Vidal. esws 2022: 73-77 [doi]
Query Rewriting in the Semantic Web7Maria-Esther Vidal, Louiqa Raschid, Natalia Marquez, Marelis Cardenas, Yao Wu. icde 2006: 7 [doi]
Efficient Techniques to Explore and Rank Paths in Life Science Data SourcesZoé Lacroix, Louiqa Raschid, Maria-Esther Vidal. dils 2004: 187-202 [doi]
Unraveling the Hepatitis B Cure: A Hybrid AI Approach for Capturing Knowledge about the Immune System's ImpactShahi Dost, Ariam Rivas, Hanan Begali, Annett Ziegler, Elimira Aliabadi, Markus Cornberg, Anke Rm Kraft, Maria-Esther Vidal. kcap 2023: 241-249 [doi]
Federated Query ProcessingKemele M. Endris, Maria-Esther Vidal, Damien Graux. In Valentina Janev, Damien Graux, Hajira Jabeen, Emanuel Sallinger, editors, Knowledge Graphs and Big Data Processing. Volume 12072 of Lecture Notes in Computer Science, pages 73-86, Springer, 2020. [doi]
Compacting frequent star patterns in RDF graphsFarah Karim, Maria-Esther Vidal, Sören Auer. jiis, 55(3):561-585, 2020. [doi]
CAREY: ClimAtological ContRol of EmergencY RegionsMaribel Acosta, Marlene Goncalves, Maria-Esther Vidal. otm 2011: 494-503 [doi]
Negative Results in Computer Science EvaluationsMaria-Esther Vidal. esws 2015: [doi]
Experiences of sampling-based approaches for estimating QoS parameters in the Web Service composition problemEduardo Blanco, Yudith Cardinale, Maria-Esther Vidal. ijwgs, 8(1):1-30, 2012. [doi]
Synthesizing a Knowledge Graph of Data Scientist Job Offers with MINTE+Mikhail Galkin, Diego Collarana, Maria-Esther Vidal, Mayesha Tasnim. semweb 2018: [doi]
Semantic Model to Integrate Biological ResourcesZoé Lacroix, Louiqa Raschid, Maria-Esther Vidal. icde 2006: 63 [doi]
Knowledge graphs for enhancing transparency in health data ecosystemsFotis Aisopos, Samaneh Jozashoori, Emetis Niazmand, Disha Purohit, Ariam Rivas, Ahmad Sakor, Enrique Iglesias, Dimitrios Vogiatzis, Ernestina Menasalvas, Alejandro Rodríguez González, Guillermo Vigueras, Daniel Gómez-Bravo, Maria Torrente, Roberto Hernández López, Mariano Provencio Pulla, Athanasios Dalianis, Anna Triantafillou, Georgios Paliouras, Maria-Esther Vidal. semweb, 14(5):943-976, 2023. [doi]
BatWAn: A Binary and Multi-Way Query Plan AnalyzerMikhail Galkin, Maria-Esther Vidal. semweb 2017: [doi]
Towards a Multi-way Similarity Join OperatorMikhail Galkin, Maria-Esther Vidal, Sören Auer. adbis 2017: 267-274 [doi]
Web Query OptimizerVladimir Zadorozhny, Laura Bright, Louiqa Raschid, Tolga Urhan, Maria-Esther Vidal. icde 2000: 661-663 [doi]
Proceedings of the Workshop on Negative or Inconclusive Results in Semantic Web, NoISE 2015, Co-located with the 12th Extended Semantic Web Conference (ESWC 2015), Portoroz, Slovenia, June 1st, 2015Anastasia Dimou, Jacco van Ossenbruggen, Miel Vander Sande, Maria-Esther Vidal, editors, Volume 1435 of CEUR Workshop Proceedings, CEUR-WS.org, 2015. [doi]
D-FOPA: A Dynamic Final Object Pruning Algorithm to Efficiently Produce Skyline Points Over Data StreamsStephanie Alibrandi, Sofia Bravo, Marlene Goncalves, Maria-Esther Vidal. DEXA 2015: 117-133 [doi]
Ulysses: An Intelligent Client for Replicated Triple Pattern FragmentsThomas Minier, Hala Skaf-Molli, Pascal Molli, Maria-Esther Vidal. esws 2018: 182-186 [doi]
Proactive Prevention of False-Positive Conflicts in Distributed Ontology DevelopmentLavdim Halilaj, Irlán Grangel-González, Maria-Esther Vidal, Steffen Lohmann, Sören Auer. ic3k 2016: 43-51 [doi]
Proceedings of the First International Workshop on Data Ecosystems co-located with 48th International Conference on Very Large Databases (VLDB 2022), Sydney, Australia, September 5, 2022Cinzia Cappiello, Sandra Geisler, Maria-Esther Vidal, editors, Volume 3306 of CEUR Workshop Proceedings, CEUR-WS.org, 2022. [doi]
An Expressive and Efficient Solution to the Service Selection ProblemDaniel Izquierdo, Maria-Esther Vidal, Blai Bonet. semweb 2010: 386-401 [doi]
Enhancing virtual ontology based access over tabular data with Morph-CSVDavid Chaves-Fraga, Edna Ruckhaus, Freddy Priyatna, Maria-Esther Vidal, Óscar Corcho. semweb, 12(6):869-902, 2021. [doi]
DaMaLOS - First Workshop on Data and Research Objects Management for Linked Open Science, Co-located at the International Semantic Web Conference ISWC 2020, Virtual Conference, November 2-3, 2020Leyla Jael García-Castro, Sören Auer, Maria-Esther Vidal, Dietrich Rebholz-Schuhmann, editors, 2020. [doi]
SHACL-ACL: Access Control with SHACLPhilipp D. Rohde, Enrique Iglesias, Maria-Esther Vidal. esws 2023: 22-26 [doi]
Mining Symbolic Rules to Explain Lung Cancer TreatmentsDisha Purohit, Maria-Esther Vidal. esws 2023: 69-74 [doi]
A Workflow for Improving Medical Visualization of Semantically Annotated CT-ImagesAlexander Baranya, Luis Landaeta, Alexandra La Cruz, Maria-Esther Vidal. semweb 2012: [doi]
Exploring Life Sciences Data SourcesZoé Lacroix, Felix Naumann, Louiqa Raschid, Maria-Esther Vidal. IJCAI 2003: 203-208 [doi]
Towards an Integrated Graph Algebra for Graph Pattern Matching with GremlinHarsh Thakkar, Dharmen Punjani, Sören Auer, Maria-Esther Vidal. DEXA 2017: 81-91 [doi]
Semantic Data Integration for Knowledge Graph Construction at Query TimeDiego Collarana, Mikhail Galkin, Ignacio Traverso Ribón, Christoph Lange 0002, Maria-Esther Vidal, Sören Auer. semco 2017: 109-116 [doi]
Benchmarking Federated SPARQL Query Engines: Are Existing Testbeds Enough?Gabriela Montoya, Maria-Esther Vidal, Óscar Corcho, Edna Ruckhaus, Carlos Buil Aranda. semweb 2012: 313-324 [doi]
Compact representations for efficient storage of semantic sensor dataFarah Karim, Maria-Esther Vidal, Sören Auer. jiis, 57(2):203-228, 2021. [doi]
OnEQL: An Ontology Efficient Query Language Engine for the Semantic WebEdna Ruckhaus, Maria-Esther Vidal, Eduardo Ruiz. ICLP 2007: [doi]
Wrapper Generation for Web Accessible Data SourcesJean-Robert Gruser, Louiqa Raschid, Maria-Esther Vidal, Laura Bright. coopis 1998: 14-23 [doi]
GADES: A Graph-based Semantic Similarity MeasureIgnacio Traverso Ribón, Maria-Esther Vidal, Benedikt Kämpgen, York Sure-Vetter. i-semantics 2016: 101-104 [doi]
SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge GraphsEnrique Iglesias, Samaneh Jozashoori, David Chaves-Fraga, Diego Collarana, Maria-Esther Vidal. CIKM 2020: 3039-3046 [doi]
Enterprise Knowledge Graphs: A Semantic Approach for Knowledge Management in the Next Generation of Enterprise Information SystemsMikhail Galkin, Sören Auer, Maria-Esther Vidal, Simon Scerri. ICEIS 2017: 88-98 [doi]
Seamless integration of cyber-physical systems in knowledge graphsIrlán Grangel-González, Lavdim Halilaj, Maria-Esther Vidal, Steffen Lohmann, Sören Auer, Andreas W. Müller. SAC 2018: 2000-2003 [doi]
On the Move to Meaningful Internet Systems. OTM 2017 Workshops - Confederated International Workshops, EI2N, FBM, ICSP, Meta4eS, OTMA 2017 and ODBASE Posters 2017, Rhodes, Greece, October 23-28, 2017, Revised Selected PapersChristophe Debruyne, Hervé Panetto, Georg Weichhart, Peter Bollen, Ioana Ciuciu, Maria-Esther Vidal, Robert Meersman, editors, Volume 10697 of Lecture Notes in Computer Science, Springer, 2018. [doi]
AnnEvol: An Evolutionary Framework to Description Ontology-Based AnnotationsIgnacio Traverso Ribón, Maria-Esther Vidal, Guillermo Palma. dils 2015: 87-103 [doi]
Semantic Data Integration Techniques for Transforming Big Biomedical Data into Actionable KnowledgeMaria-Esther Vidal, Samaneh Jozashoori. cbms 2019: 563-566 [doi]
OnSim: A Similarity Measure for Determining Relatedness Between Ontology TermsIgnacio Traverso Ribón, Maria-Esther Vidal, Guillermo Palma. dils 2015: 70-86 [doi]
Customized and Optimized Service Selection with ProtocolDBZoÃ© Lacroix, Maria-Esther Vidal, Christophe Legendre. globe 2009: 112-123 [doi]
Efficiently Producing the K Nearest Neighbors in the Skyline for Multidimensional DatasetsMarlene Goncalves, Maria-Esther Vidal. otm 2012: 673-676 [doi]
Capturing Knowledge about Drug-Drug Interactions to Enhance Treatment EffectivenessAriam Rivas, Maria-Esther Vidal. kcap 2021: 33-40 [doi]
Efficient semantic summary graphs for querying large knowledge graphsEmetis Niazmand, Gezim Sejdiu, Damien Graux, Maria-Esther Vidal. ijinfomandi, 2(1):100082, 2022. [doi]
Determining similarity of scientific entities in annotation datasetsGuillermo Palma, Maria-Esther Vidal, Eric Haag, Louiqa Raschid, Andreas Thor. biodb, 2015, 2015. [doi]
FuhSen: A Federated Hybrid Search Engine for Building a Knowledge Graph On-Demand (Short Paper)Diego Collarana, Mikhail Galkin, Christoph Lange 0002, Irlán Grangel-González, Maria-Esther Vidal, Sören Auer. otm 2016: 752-761 [doi]
MULDER: Querying the Linked Data Web by Bridging RDF Molecule TemplatesKemele M. Endris, Mikhail Galkin, Ioanna Lytra, Mohamed Nadjib Mami, Maria-Esther Vidal, Sören Auer. DEXA 2017: 3-18 [doi]
Semantic Representation of Scientific PublicationsSahar Vahdati, Said Fathalla, Sören Auer, Christoph Lange 0002, Maria-Esther Vidal. ercimdl 2019: 375-379 [doi]
A big data architecture for managing oceans of data and maritime applicationsIoanna Lytra, Maria-Esther Vidal, Fabrizio Orlandi, Judie Attard. ice-itmc 2017: 1216-1226 [doi]
Formalizing Gremlin Pattern Matching Traversals in an Integrated Graph AlgebraHarsh Thakkar, Sören Auer, Maria-Esther Vidal. semweb 2020: [doi]
Measuring Relatedness Between Scientific Entities in Annotation DatasetsGuillermo Palma, Maria-Esther Vidal, Eric Haag, Louiqa Raschid, Andreas Thor. bcb 2013: 367 [doi]
Optimizing Federated Queries Based on the Physical Design of a Data LakePhilipp D. Rohde, Maria-Esther Vidal. edbt 2020: [doi]
A Meta-Wrapper for Scaling up to Multiple Autonomous Distributed Information SourcesMaria-Esther Vidal, Louiqa Raschid, Jean-Robert Gruser. coopis 1998: 148-157 [doi]
Medical Image Rendering and Description Driven by Semantic AnnotationsAlexandra La Cruz, Alexander Baranya, Maria-Esther Vidal. red 2013: 123-149 [doi]
Exploiting Multiple Paths to Express Scientific QueriesZoé Lacroix, Tiffany Morris, Kaushal Parekh, Louiqa Raschid, Maria-Esther Vidal. ssdbm 2004: 357 [doi]
PAnG: finding patterns in annotation graphsPhilip Anderson, Andreas Thor, Joseph Benik, Louiqa Raschid, Maria-Esther Vidal. SIGMOD 2012: 677-680 [doi]
Managing the evolution and preservation of the data webJeremy Debattista, Javier D. Fernández, Maria-Esther Vidal, Jürgen Umbrich. ws, 54:1-3, 2019. [doi]
Networks of Linked Data Eddies: An Adaptive Web Query Processing Engine for RDF DataMaribel Acosta, Maria-Esther Vidal. semweb 2015: 111-127 [doi]
Semantic Enrichment of IoT Stream Data On-demandFarah Karim, Ola Al Naameh, Ioanna Lytra, Christian Mader, Maria-Esther Vidal, Syren Auer. semco 2018: 33-40 [doi]
Proceedings of the Third International Workshop on Semantic Web Collaborative Spaces co-located with the 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Italy, October 19, 2014Pascal Molli, John G. Breslin, Maria-Esther Vidal, editors, Volume 1275 of CEUR Workshop Proceedings, CEUR-WS.org, 2014. [doi]
Unveiling Scholarly Communities over Knowledge GraphsSahar Vahdati, Guillermo Palma, Rahul Jyoti Nath, Christoph Lange 0002, Sören Auer, Maria-Esther Vidal. ercimdl 2018: 103-115 [doi]
Poster Paper Data Integration for Supporting Biomedical Knowledge Graph Creation at Large-ScaleSamaneh Jozashoori, Tatiana Novikova, Maria-Esther Vidal. dils 2019: 91-96 [doi]
Interaction Network Analysis Using Semantic Similarity Based on Translation EmbeddingsAwais Manzoor Bajwa, Diego Collarana, Maria-Esther Vidal. i-semantics 2019: 249-255 [doi]
FALCON: An Entity and Relation Linking Framework over DBpediaAhmad Sakor, Kuldeep Singh, Maria-Esther Vidal. semweb 2019: 265-268 [doi]
QAestro Framework - Semantic Composition of QA PipelinesKuldeep Singh, Ioanna Lytra, Kunwar Abhinav Aditya, Maria-Esther Vidal. semweb 2017: [doi]
Expressing and Managing Reactivity in the Semantic WebElsa Liliana Tovar, Maria-Esther Vidal. otm 2010: 1018-1035 [doi]
MapReduce vs. Pipelining Counting TrianglesEdelmira Pasarella, Maria-Esther Vidal, Cristina Zoltan. amw 2016: [doi]
REACTIVE: A Rule-based Framework to Process ReactivityElsa Liliana Tovar, Maria-Esther Vidal. semweb 2009: [doi]
Federated Semantic Data Management (Dagstuhl Seminar 17262)Olaf Hartig, Maria-Esther Vidal, Johann Christoph Freytag. dagstuhl-reports, 7(6):135-167, 2017. [doi]
Ranking Knowledge Graphs By Capturing Knowledge about Languages and LabelsLucie-Aimée Kaffee, Kemele M. Endris, Elena Simperl, Maria-Esther Vidal. kcap 2019: 21-28 [doi]
DEFENDER: A DEcomposer for quEries agaiNst feDERations of EndpointsGabriela Montoya, Maria-Esther Vidal, Maribel Acosta. esws 2015: 480-484 [doi]
A Knowledge-Driven Pipeline for Transforming Big Data into Actionable KnowledgeMaria-Esther Vidal, Kemele M. Endris, Samaneh Jozashoori, Guillermo Palma. dils 2019: 44-49 [doi]
Proceedings of the 9th Alberto Mendelzon International Workshop on Foundations of Data Management, Lima, Peru, May 6 - 8, 2015Andrea Calì, Maria-Esther Vidal, editors, Volume 1378 of CEUR Workshop Proceedings, CEUR-WS.org, 2015. [doi]
A Knowledge Graph for Industry 4.0Sebastian R. Bader, Irlán Grangel-González, Priyanka Nanjappa, Maria-Esther Vidal, Maria Maleshkova. esws 2020: 465-480 [doi]
Knowledge-Driven Data Ecosystems Toward Data TransparencySandra Geisler, Maria-Esther Vidal, Cinzia Cappiello, Bernadette Farias Lóscio, Avigdor Gal, Matthias Jarke, Maurizio Lenzerini, Paolo Missier, Boris Otto, Elda Paja, Barbara Pernici, Jakob Rehof. jdiq, 14(1), 2022. [doi]
Mining Patterns from Clinical Trial Annotated Datasets by Exploiting the NCI ThesaurusJoseph Benik, Guillermo Palma, Louiqa Raschid, Andreas Thor, Maria-Esther Vidal. semweb 2012: [doi]
Comparison Between Graph Databases and RDF Engines for Modelling Epidemiological Investigation of Nosocomial InfectionsLorena Pujante-Otalora, Manuel Campos, Jose M. Juarez, Maria-Esther Vidal. biostec 2024: 23-36 [doi]
Towards a Knowledge Graph for ScienceSören Auer, Viktor Kovtun, Manuel Prinz, Anna Kasprzik, Markus Stocker, Maria-Esther Vidal. wims 2018: [doi]
FunMap: Efficient Execution of Functional Mappings for Knowledge Graph CreationSamaneh Jozashoori, David Chaves-Fraga, Enrique Iglesias, Maria-Esther Vidal, Óscar Corcho. semweb 2020: 276-293 [doi]
Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28 - September 1, 2023Rajesh Bordawekar, Cinzia Cappiello, Vasilis Efthymiou, Lisa Ehrlinger, Vijay Gadepally, Sainyam Galhotra, Sandra Geisler, Sven Groppe, Le Gruenwald, Alon Y. Halevy, Hazar Harmouch, Oktie Hassanzadeh, Ihab F. Ilyas, Ernesto Jiménez-Ruiz, Sanjay Krishnan, Tirthankar Lahiri, Guoliang Li 0001, Jiaheng Lu, Wolfgang Mauerer, Umar Farooq Minhas, Felix Naumann, M. Tamer Özsu, El Kindi Rezig, Kavitha Srinivas, Michael Stonebraker, Satyanarayana R. Valluri, Maria-Esther Vidal, Haixun Wang, Jiannan Wang, Yingjun Wu, Xun Xue, Mohamed Zaït, Kai Zeng, editors, Volume 3462 of CEUR Workshop Proceedings, CEUR-WS.org, 2023. [doi]
Efficiently Selecting the Best Web ServicesMarlene Goncalves, Maria-Esther Vidal, Alfredo Regalado, Nadia Yacoubi Ayadi. red 2010: 120-139 [doi]
Exploiting Semantics to Predict Potential Novel Links from Dense SubgraphsAlejandro Flores 0001, Maria-Esther Vidal, Guillermo Palma. amw 2015: [doi]
Diefficiency Metrics: Measuring the Continuous Efficiency of Query Processing ApproachesMaribel Acosta, Maria-Esther Vidal, York Sure-Vetter. semweb 2017: 3-19 [doi]
COMET: A Contextualized Molecule-Based Matching TechniqueMayesha Tasnim, Diego Collarana, Damien Graux, Mikhail Galkin, Maria-Esther Vidal. DEXA 2019: 175-185 [doi]
GUN: An Efficient Execution Strategy for Querying the Web of DataGabriela Montoya, Luis Daniel Ibáñez, Hala Skaf-Molli, Pascal Molli, Maria-Esther Vidal. DEXA 2013: 180-194 [doi]
DemoEffTE: A Demonstrator of Dependency-aware Evaluation of Test Cases over OntologyLavdim Halilaj, Irlán Grangel-González, Maria-Esther Vidal, Steffen Lohmann, Sören Auer. i-semantics 2018: [doi]
Improving Early Prognosis of Dementia Using Machine Learning MethodsGeorgios Katsimpras, Fotis Aisopos, Peter Garrard, Maria-Esther Vidal, Georgios Paliouras. health, 3(3), 2022. [doi]
The FAIR TRADE Framework for Assessing Decentralised Data SolutionsMaribel Acosta, Tim Berners-Lee, Anastasia Dimou, John Domingue, Luis-Daniel Ibá, Krzysztof Janowicz, Maria-Esther Vidal, Amrapali Zaveri. WWW 2019: 823-839 [doi]
Proceedings of the 8th Workshop on Managing the Evolution and Preservation of the Data Web (MEPDaW) co-located with the 21st International Semantic Web Conference (ISWC 2022), Virtual event, October 23rd, 2022Damien Graux, Fabrizio Orlandi, Emetis Niazmand, Gabriela Ydler, Maria-Esther Vidal, editors, Volume 3339 of CEUR Workshop Proceedings, CEUR-WS.org, 2023. [doi]
A Data Model and Query Language to Explore Enhanced Links and Paths in Life Science SourcesGeorge A. Mihaila, Felix Naumann, Louiqa Raschid, Maria-Esther Vidal. webdb 2005: 133-138
Querying "Qality of Data" MetadataGeorge A. Mihaila, Louiqa Raschid, Maria-Esther Vidal. md 1999: [doi]
BioFast: Challenges in Exploring Linked Life Science SourcesJens Bleiholder, Zoé Lacroix, Hyma Murthy, Felix Naumann, Louiqa Raschid, Maria-Esther Vidal. SIGMOD, 33(2):72-77, 2004. [doi]
Classifying Data Heterogeneity within Budget and Spending Open DataFathoni A. Musyaffa, Fabrizio Orlandi, Hajira Jabeen, Maria-Esther Vidal. icegov 2018: 81-90 [doi]
The Semantic Web: ESWC 2019 Satellite Events - ESWC 2019 Satellite Events, Portorož, Slovenia, June 2-6, 2019, Revised Selected PapersPascal Hitzler, Sabrina Kirrane, Olaf Hartig, Victor de Boer, Maria-Esther Vidal, Maria Maleshkova, Stefan Schlobach, Karl Hammar, Nelia Lasierra, Steffen Stadtmüller, Katja Hose, Ruben Verborgh, editors, Volume 11762 of Lecture Notes in Computer Science, Springer, 2019. [doi]
Synthesizing Knowledge Graphs from Web Sources with the MINTE ^+ + FrameworkDiego Collarana, Mikhail Galkin, Christoph Lange 0002, Simon Scerri, Sören Auer, Maria-Esther Vidal. semweb 2018: 359-375 [doi]
Factorization Techniques for Longitudinal Linked Data (Short Paper)Farah Karim, Maria-Esther Vidal, Sören Auer. otm 2016: 690-698 [doi]
Parallel Data Loading during Querying Deep Web and Linked Open Data with SPARQLPauline Folz, Gabriela Montoya, Hala Skaf-Molli, Pascal Molli, Maria-Esther Vidal. semweb 2015: 63-74 [doi]
Preface DEcoCinzia Cappiello, Sandra Geisler, Maria-Esther Vidal. VLDB 2023: [doi]
No one is perfect: Analysing the performance of question answering components over the DBpedia knowledge graphKuldeep Singh 0001, Ioanna Lytra, Arun Sethupat Radhakrishna, Saeedeh Shekarpour, Maria-Esther Vidal, Jens Lehmann 0001. ws, 65:100594, 2020. [doi]
Survey on Big Data ApplicationsValentina Janev, Dea Pujic, Marko Jelic, Maria-Esther Vidal. In Valentina Janev, Damien Graux, Hajira Jabeen, Emanuel Sallinger, editors, Knowledge Graphs and Big Data Processing. Volume 12072 of Lecture Notes in Computer Science, pages 149-164, Springer, 2020. [doi]
Navigating through the Biological MazeZoé Lacroix, Kaushal Parekh, Louiqa Raschid, Maria-Esther Vidal. csb 2004: 594-595 [doi]
ANAPSID: An Adaptive Query Processing Engine for SPARQL EndpointsMaribel Acosta, Maria-Esther Vidal, Tomas Lampo, Julio Castillo, Edna Ruckhaus. semweb 2011: 18-34 [doi]
Falcon 2.0: An Entity and Relation Linking Tool over WikidataAhmad Sakor, Kuldeep Singh, Anery Patel, Maria-Esther Vidal. CIKM 2020: 3141-3148 [doi]
FOPA: A Final Object Pruning Algorithm to Efficiently Produce Skyline PointsAna Alvarado, Oriana Baldizan, Marlene Goncalves, Maria-Esther Vidal. DEXA 2013: 334-348 [doi]
Summarizing Entity Temporal Evolution in Knowledge GraphsMayesha Tasnim, Diego Collarana, Damien Graux, Fabrizio Orlandi, Maria-Esther Vidal. WWW 2019: 961-965 [doi]
Analyzing Linked Data Quality with LiQuateEdna Ruckhaus, Maria-Esther Vidal, Simón Castillo, Oscar Burguillos, Oriana Baldizan. esws 2014: 488-493 [doi]
Shipping Knowledge Graph Management Capabilities to Data Providers and ConsumersOmar Al-Safi, Christian Mader, Ioanna Lytra, Mikhail Galkin, Kemele M. Endris, Maria-Esther Vidal, Syren Auer. semco 2018: 9-16 [doi]
Intelligent Clients for Replicated Triple Pattern FragmentsThomas Minier, Hala Skaf-Molli, Pascal Molli, Maria-Esther Vidal. esws 2018: 400-414 [doi]
Unveiling Relations in the Industry 4.0 Standards Landscape Based on Knowledge Graph EmbeddingsAriam Rivas, Irlán Grangel-González, Diego Collarana, Jens Lehmann 0001, Maria-Esther Vidal. DEXA 2020: 179-194 [doi]
Deductive Web Services: An Ontology-Driven Approach for Service Interoperability in Life ScienceNadia Yacoubi Ayadi, Zoé Lacroix, Maria-Esther Vidal, Edna Ruckhaus. otm 2007: 1338-1347 [doi]
Ontario: Federated Query Processing Against a Semantic Data LakeKemele M. Endris, Philipp D. Rohde, Maria-Esther Vidal, Sören Auer. DEXA 2019: 379-395 [doi]
A Non-Chronological Backtracking Unfolding Algorithm for Transactional Web Service CompositionEduardo Blanco, Yudith Cardinale, Maria-Esther Vidal. ant 2012: 888-893 [doi]
Creating and Capturing Artificial Emotions in Autonomous Robots and Software AgentsClaus Hoffmann, Maria-Esther Vidal. ICWE 2020: 277-292 [doi]
Top-k Skyline: A Unified ApproachMarlene Goncalves, Maria-Esther Vidal. otm 2005: 790-799 [doi]
Query evaluation and optimization in the semantic webEdna Ruckhaus, Eduardo Ruiz, Maria-Esther Vidal. tplp, 8(3):393-409, 2008. [doi]
MINTE: semantically integrating RDF graphsDiego Collarana, Mikhail Galkin, Ignacio Traverso Ribón, Maria-Esther Vidal, Christoph Lange 0002, Sören Auer. wims 2017: [doi]
A Transactional-QoS Driven Approach for Web Service CompositionEduardo Blanco, Yudith Cardinale, Maria-Esther Vidal, Joyce El Haddad, Maude Manouvrier, Marta Rukoz. red 2012: 23-42 [doi]
Towards Certified Distributed Query ProcessingPhilipp D. Rohde, Maria-Esther Vidal. esws 2023: [doi]
Dynamic Composition of Question Answering Pipelines with FRANKENSTEINKuldeep Singh, Ioanna Lytra, Arun Sethupat Radhakrishna, Akhilesh Vyas, Maria-Esther Vidal. sigir 2018: 1313-1316 [doi]
Choosing Between Graph Databases and RDF Engines for Consuming and Mining Linked DataDomingo De Abreu, Alejandro Flores, Guillermo Palma, Valeria Pestana, José Piñero, Jonathan Queipo, José Sánchez 0001, Maria-Esther Vidal. semweb 2013: [doi]
Exploiting Semantics from Ontologies and Shared Annotations to Partition Linked DataGuillermo Palma, Maria-Esther Vidal, Louiqa Raschid, Andreas Thor. dils 2014: 120-127 [doi]
HARE: An Engine for Enhancing Answer Completeness of SPARQL Queries via CrowdsourcingMaribel Acosta, Elena Simperl, Fabian Flöck, Maria-Esther Vidal. WWW 2018: 501-505 [doi]
Transforming Heterogeneous Data into Knowledge for Personalized Treatments - A Use CaseMaria-Esther Vidal, Kemele M. Endris, Samaneh Jazashoori, Ahmad Sakor, Ariam Rivas. dbsk, 19(2):95-106, 2019. [doi]
SPaRKLE : Symbolic caPtuRing of knowledge for Knowledge graph enrichment with LEarningDisha Purohit, Yashrajsinh Chudasama, Ariam Rivas, Maria-Esther Vidal. kcap 2023: 44-52 [doi]
BiOnMap: a deductive approach for resource discoveryNadia Yacoubi Ayadi, Zoé Lacroix, Maria-Esther Vidal. iiwas 2008: 477-482 [doi]
BOUNCER: Privacy-Aware Query Processing over Federations of RDF DatasetsKemele M. Endris, Zuhair Almhithawi, Ioanna Lytra, Maria-Esther Vidal, Sören Auer. DEXA 2018: 69-84 [doi]
Large-scale storage and query processing for semantic sensor dataFarah Karim, Mohamed Nadjib Mami, Maria-Esther Vidal, Sören Auer. wims 2017: [doi]
Magic Rewritings for Efficiently Processing Reactivity on Web OntologiesElsa Liliana Tovar, Maria-Esther Vidal. otm 2008: 1338-1354 [doi]
Challenges for Semantically Driven Collaborative SpacesPascal Molli, John G. Breslin, Maria-Esther Vidal. semweb 2016: 3-9 [doi]
Correction to: On the Move to Meaningful Internet SystemsChristophe Debruyne, Hervé Panetto, Georg Weichhart, Peter Bollen, Ioana Ciuciu, Maria-Esther Vidal, Robert Meersman. otm 2018: [doi]
WebSOGO: A Global Ontology for Describing Web SourcesEdna Ruckhaus, Maria-Esther Vidal. SAC 2003: 1199-1205
STEREO: a SaT-based tool for an optimal solution of the sERvice selEctiOn problemDaniel Izquierdo, Maria-Esther Vidal, Blai Bonet. semweb 2010: [doi]
FRAGOLA: Fabulous RAnking of GastrOnomy LocAtionsAna Alvarado, Oriana Baldizan, Marlene Goncalves, Maria-Esther Vidal. otm 2013: 408-413 [doi]
Source Selection and Ranking in the WebSemantics Architecture: Using Quality of Data MetadataGeorge A. Mihaila, Louiqa Raschid, Maria-Esther Vidal. ac, 55:89-119, 2001.
Scaling up knowledge graph creation to large and heterogeneous data sourcesEnrique Iglesias, Samaneh Jozashoori, Maria-Esther Vidal. ws, 75:100755, 2023. [doi]
Challenges in Selecting Paths for Navigational Queries: Trade-Off of Benefit of Path versus Cost of PlanMaria-Esther Vidal, Louiqa Raschid, Julián Mestre. webdb 2004: 61-66 [doi]
Old is Gold: Linguistic Driven Approach for Entity and Relation Linking of Short TextAhmad Sakor, Isaiah Onando Mulang, Kuldeep Singh, Saeedeh Shekarpour, Maria-Esther Vidal, Jens Lehmann 0001, Sören Auer. naacl 2019: 2336-2346 [doi]
DESERT: A Continuous SPARQL Query Engine for On-Demand Query AnsweringFarah Karim, Ioanna Lytra, Christian Mader, Sören Auer, Maria-Esther Vidal. ijsc, 12(3):373-397, 2018. [doi]
Scientific Peer Reviewing - Practical Hints and Best PracticesPeter Spyns, Maria-Esther Vidal. Springer, 2015. [doi]
Enhancing answer completeness of SPARQL queries via crowdsourcingMaribel Acosta, Elena Simperl, Fabian Flöck, Maria-Esther Vidal. ws, 45:41-62, 2017. [doi]
LiQuate-Estimating the Quality of Links in the Linking Open Data CloudEdna Ruckhaus, Maria-Esther Vidal. red 2013: 56-82 [doi]
SJoin: A Semantic Join Operator to Integrate Heterogeneous RDF GraphsMikhail Galkin, Diego Collarana, Ignacio Traverso Ribón, Maria-Esther Vidal, Sören Auer. DEXA 2017: 206-221 [doi]
Enhancing Interpretability of Machine Learning Models over Knowledge GraphsYashrajsinh Chudasama, Disha Purohit, Philipp D. Rohde, Maria-Esther Vidal. i-semantics 2023: [doi]

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