GARUM: A Semantic Similarity Measure Based on Machine Learning and Entity Characteristics

Ignacio Traverso Ribón, Maria-Esther Vidal. GARUM: A Semantic Similarity Measure Based on Machine Learning and Entity Characteristics. In Sven Hartmann, Hui Ma 0001, Abdelkader Hameurlain, Günther Pernul, Roland R. Wagner, editors, Database and Expert Systems Applications - 29th International Conference, DEXA 2018, Regensburg, Germany, September 3-6, 2018, Proceedings, Part I. Volume 11029 of Lecture Notes in Computer Science, pages 169-183, Springer, 2018. [doi]

@inproceedings{RibonV18,
  title = {GARUM: A Semantic Similarity Measure Based on Machine Learning and Entity Characteristics},
  author = {Ignacio Traverso Ribón and Maria-Esther Vidal},
  year = {2018},
  doi = {10.1007/978-3-319-98809-2_11},
  url = {https://doi.org/10.1007/978-3-319-98809-2_11},
  researchr = {https://researchr.org/publication/RibonV18},
  cites = {0},
  citedby = {0},
  pages = {169-183},
  booktitle = {Database and Expert Systems Applications - 29th International Conference, DEXA 2018, Regensburg, Germany, September 3-6, 2018, Proceedings, Part I},
  editor = {Sven Hartmann and Hui Ma 0001 and Abdelkader Hameurlain and Günther Pernul and Roland R. Wagner},
  volume = {11029},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-98809-2},
}