A Scalable Approach for Computing Semantic Relatedness using Semantic Web Data

Dennis Diefenbach, Ricardo Usbeck, Kamal Deep Singh, Pierre Maret. A Scalable Approach for Computing Semantic Relatedness using Semantic Web Data. In Rajendra Akerkar, Michel Plantié, Sylvie Ranwez, Sébastien Harispe, Anne Laurent, Patrice Bellot, Jacky Montmain, François Trousset, editors, Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics, WIMS 2016, Nîmes, France, June 13-15, 2016. pages 20, ACM, 2016. [doi]

@inproceedings{DiefenbachUSM16,
  title = {A Scalable Approach for Computing Semantic Relatedness using Semantic Web Data},
  author = {Dennis Diefenbach and Ricardo Usbeck and Kamal Deep Singh and Pierre Maret},
  year = {2016},
  doi = {10.1145/2912845.2912864},
  url = {http://doi.acm.org/10.1145/2912845.2912864},
  researchr = {https://researchr.org/publication/DiefenbachUSM16},
  cites = {0},
  citedby = {0},
  pages = {20},
  booktitle = {Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics, WIMS 2016, Nîmes, France, June 13-15, 2016},
  editor = {Rajendra Akerkar and Michel Plantié and Sylvie Ranwez and Sébastien Harispe and Anne Laurent and Patrice Bellot and Jacky Montmain and François Trousset},
  publisher = {ACM},
  isbn = {978-1-4503-4056-4},
}