When former U.S. Senator Rick Santorum started gearing up to launch his presidential campaign earlier this year, there was one question he could not avoid. It had to do with the matter of alt-weekly editor and advice columnist Dan Savage, who has for years positioned himself as Santorum’s most prominent critic. Many politicians have fierce opponents, but few did what Savage did in 2003, and that was hold a contest to give an alternate meaning to the word “santorum”. I hope you’ll forgive me for declining to quote the winning definition, but you can find it here, and suffice to say that it has stuck. So much so, in fact, that eight years later Savage’s term has come to dominate the web search results for Rick Santorum’s name.
A reconciliation service is a web service that, given some text which is a name or label for something, and optionally some additional details, returns a ranked list of potential entities matching the criteria. The candidate text does not have to match each entity's official name perfectly, and that's the whole point of reconciliation--to get from ambiguous text name to precisely identified entities. For instance, given the text "apple", a reconciliation service probably should return the Apple Inc. company, the apple fruit, and New York city (also known as the Big Apple).
Pearson Longman English Language Teaching (Pearson Longman ELT) is a leading educational publisher of quality resources for all ages and abilities across the curriculum, providing solutions for teachers and students.
G. Katz, and E. Giesbrecht. Proceedings of the Workshop on Multiword Expressions: Identifying and Exploiting Underlying Properties, page 12--19. (2006)
L. Wiechetek, K. Unhammer, and S. Moshagen. Workshop on the Use of Computational Methods in the Study of Endangered Languages, 1, page 46. ComputEL, (2019)
S. Liu, C. Yu, and W. Meng. Proceedings of the 14th ACM International Conference on Information and Knowledge Management, page 525--532. New York, NY, USA, ACM, (2005)
A. Garcia-Silva, M. Szomszor, H. Alani, and O. Corcho. The Fifth International Conference on Knowledge Capture (K-Cap'09) - First International Workshop on Collective Knowledge Capturing and Representation (CKCaR'09), Informatica, (2009)
J. Reisinger, and R. Mooney. Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, page 109--117. Association for Computational Linguistics, (2010)
L. Ratinov, D. Roth, D. Downey, and M. Anderson. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1, page 1375--1384. Stroudsburg, PA, USA, Association for Computational Linguistics, (2011)
R. Zafarani, and H. Liu. Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 41--49. New York, NY, USA, ACM, (2013)
Y. Zhang, J. Tang, Z. Yang, J. Pei, and P. Yu. Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 1485--1494. New York, NY, USA, ACM, (2015)
N. Aswani, K. Bontcheva, and H. Cunningham. Proceedings of the 5th International Conference on The Semantic Web, page 329--342. Berlin/Heidelberg, Springer, (2006)
J. Tang, J. Zhang, L. Yao, J. Li, L. Zhang, and Z. Su. Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 990--998. New York, NY, USA, ACM, (2008)
J. Tang, J. Zhang, L. Yao, J. Li, L. Zhang, and Z. Su. Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 990--998. New York, NY, USA, ACM, (2008)
R. Mihalcea, and A. Csomai. Proceedings of the Sixteenth ACM Conference on Conference on Information and Knowledge Management, page 233--242. New York, NY, USA, ACM, (2007)
W. Shen, J. Wang, P. Luo, and M. Wang. Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 68--76. New York, NY, USA, ACM, (2013)
R. Zafarani, and H. Liu. Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 41--49. New York, NY, USA, ACM, (2013)
K. Yang, H. Peng, J. Jiang, H. Lee, and J. Ho. Research and Advanced Technology for Digital Libraries, volume 5173 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2008)
S. Ponzetto, and R. Navigli. Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, page 1522--1531. Stroudsburg, PA, USA, Association for Computational Linguistics, (2010)
N. Steinmetz, M. Knuth, and H. Sack. Int. Workshop on free, open, interoperabel, and multilingual NLP for DBpedia and DBpedia for NLP, CEUR Workshop Proceedings Vol. 1064, (2013)
K. Gani, H. Hacid, and R. Skraba. Proceedings of the 21st international conference companion on World Wide Web, page 503--504. New York, NY, USA, ACM, (2012)
M. Rowe, and F. Ciravegna. Web Semantics: Science, Services and Agents on the World Wide Web, 8 (2–3):
125 - 142(2010)Bridging the Gap—Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences.
E. Demidova, I. Oelze, and P. Fankhauser. Proceedings of the First International Workshop on Keyword Search on Structured Data, KEYS 2009, Providence, Rhode Island, USA, June 28, 2009, page 33-38. ACM, (2009)
J. Reynar, and A. Ratnaparkhi. Proceedings of the fifth conference on Applied natural language processing, page 16--19. Stroudsburg, PA, USA, Association for Computational Linguistics, (1997)
E. Garbin, and I. Mani. Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, page 363--370. Stroudsburg, PA, USA, Association for Computational Linguistics, (2005)
E. Garbin, and I. Mani. Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, page 363--370. Stroudsburg, PA, USA, Association for Computational Linguistics, (2005)
Y. Li, A. Wen, Q. Lin, R. Li, and Z. Lu. Web-Age Information Management, volume 6897 of Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (2011)
S. Liu, C. Yu, and W. Meng. Proceedings of the 14th ACM international conference on Information and knowledge management, page 525--532. New York, NY, USA, ACM, (2005)
P. Andrews, J. Pane, and I. Zaihrayeu. Workshop on Discovering Meaning On the Go in Large Heterogeneous Data 2011, International Joint Conference on Artificial Intelligence, (2011)
A. Garcia, M. Szomszor, H. Alani, and O. Corcho. Knowledge Capture (K-Cap'09) - First International Workshop on Collective Knowledge Capturing and Representation - CKCaR'09, (September 2009)