TabEL: Entity linking in web tables

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9366, Issue , 2015, Pages 425-441

  Bhagavatula, Chandra Sekhar ^a   Noraset, Thanapon ^a   Downey, Doug ^a  

^a NORTHWESTERN UNIVERSITY   (United States)

Author keywords

Entity linking; Graphical models; Named entity disambiguation; Web tables

Indexed keywords

DATA MINING; ERRORS; GRAPHIC METHODS; KNOWLEDGE BASED SYSTEMS;

ENTITY LINKING; ERROR REDUCTION; GRAPHICAL MODEL; NAMED ENTITY DISAMBIGUATIONS; RELATIONAL DATA; SOFT CONSTRAINT; STATE OF THE ART; WEB TABLES;

SEMANTIC WEB;

EID: 84952327246     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-25007-6_25     Document Type: Conference Paper

References (40)

1. Cafarella, M.J., Halevy, A., Wang, D.Z., Wu, E., Zhang, Y.: Webtables: exploring the power of tables on the web. Proceedings of the VLDB Endowment 1(1), 538–549 (2008)
2. Buche, P., Dibie-Barthelemy, J., Ibanescu, L., Soler, L.: Fuzzy web data tables integration guided by an ontological and terminological resource. IEEE Transactions on Knowledge and Data Engineering 25(4), 805–819 (2013)
3. Hignette, G., Buche, P., Dibie-Barthélemy, J., Haemmerlé, O.: Fuzzy annotation of web data tables driven by a domain ontology. In: Aroyo, L., Traverso, P., Ciravegna, F., Cimiano, P., Heath, T., Hyvönen, E., Mizoguchi, R., Oren, E., Sabou, M., Simperl, E. (eds.) ESWC 2009. LNCS, vol. 5554, pp. 638–653. Springer, Heidelberg (2009)
4. Limaye, G., Sarawagi, S., Chakrabarti, S.: Annotating and searching web tables using entities, types and relationships. Proceedings of the VLDB, 1338–1347 (2010)
5. Munoz, E., Hogan, A., Mileo, A.: Triplifying wikipedia’s tables. In: LD4IE@ISWC (2013)
6. Mulwad, V., Finin, T., Joshi, A.: Automatically generating government linked data from tables. In: Working Notes of AAAI Fall Symposium on Open Government Knowledge: AI Opportunities and Challenges, vol. 4 (2011)
7. Mulwad, V., Finin, T., Joshi, A.: Semantic message passing for generating linked data from tables. In: Alani, H., Kagal, L., Fokoue, A., Groth, P., Biemann, C., Parreira, J.X., Aroyo, L., Noy, N., Welty, C., Janowicz, K. (eds.) ISWC 2013, Part I. LNCS, vol. 8218, pp. 363–378. Springer, Heidelberg (2013)
8. Mulwad, V., Finin, T., Syed, Z., Joshi, A.: T2ld: Interpreting and representing tables as linked data. In: 9th International Semantic Web Conference, ISWC 2010, p. 25. Citeseer (2010)
9. Syed, Z., Finin, T., Mulwad, V., Joshi, A.: Exploiting a web of semantic data for interpreting tables. In: Proceedings of the Second Web Science Conference (2010)
10. Venetis, P., Halevy, A., Madhavan, J., Paşca, M., Shen, W., Fei, W., Miao, G., Chung, W.: Recovering semantics of tables on the web. Proceedings of the VLDB Endowment 4(9), 528–538 (2011)
11. Wang, J., Wang, H., Wang, Z., Zhu, K.Q.: Understanding tables on the web. In: Atzeni, P., Cheung, D., Ram, S. (eds.) ER 2012 Main Conference 2012. LNCS, vol. 7532, pp. 141–155. Springer, Heidelberg (2012)
12. Zhang, Z.: Start small, build complete: effective and efficient semantic table interpretation using tableminer. The Semantic Web Journal, Under Transparent Review (2014)
13. Suchanek, F.M., Kasneci, G., Weikum, G.: Yago: a core of semantic knowledge. In: 16th International World Wide Web Conference (WWW 2007). ACM Press, New York (2007)
14. Qing, L., Getoor, L.: Link-based classification. In: ICML, vol. 3, pp. 496–503 (2003)
15. Hoffart, J., Yosef, M.A., Bordino, I., Fürstenau, H., Pinkal, M., Spaniol, M., Taneva, B., Thater, S., Weikum, G.: Robust disambiguation of named entities in text. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 782–792. Association for Computational Linguistics (2011)
16. Hecht, B., Carton, S.H., Quaderi, M., Schöning, J., Raubal, M., Gergle, D., Downey, D.: Explanatory semantic relatedness and explicit spatialization for exploratory search. In: Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 415–424. ACM (2012)
17. Witten, I., Milne, D.: An effective, low-cost measure of semantic relatedness obtained from wikipedia links. In: Proceeding of AAAIWorkshop onWikipedia and Artificial Intelligence: an Evolving Synergy, Chicago, USA, pp. 25–30. AAAI Press (2008)
18. Church, K.W.: One term or two? In: Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 310–318. ACM (1995)
19. Dohrn, H., Riehle, D.: Design and implementation of the sweble wikitext parser: unlocking the structured data of wikipedia. In: Proceedings of the 7th International Symposium on Wikis and Open Collaboration, pp. 72–81. ACM (2011)
20. Spitkovsky, V.I., Chang, A.X.: A cross-lingual dictionary for english wikipedia concepts. In LREC, pp. 3168–3175 (2012)
21. Gupta, R., Sarawagi, S.: Answering table augmentation queries from unstructured lists on the web. Proceedings of the VLDB Endowment 2(1), 289–300 (2009)
22. Bunescu, R.C., Pasca, M.: Using encyclopedic knowledge for named entity disambiguation. In: EACL, vol. 6, pp. 9–16 (2006)
23. Cheng, X., Roth, D.: Relational inference for wikification. Urbana 51, 61801 (2013)
24. Moro, A., Raganato, A., Navigli, R.: Entity linking meets word sense disambiguation: A unified approach. Transactions of the Association for Computational Linguistics 2 (2014)
25. Ling, X., Singh, S., Weld, D.S.: Context representation for named entity linking. In: Proceedings of the 3rd Pacific Northwest Regional NLPWorkshop (NW-NLP 2014) (2014)
26. Noraset, T., Bhagavatula, C., Downey, D.: Websail wikifier at ERD 2014. In: Proceedings of the First International Workshop on Entity Recognition & Disambiguation, pp. 119–124. ACM (2014)
27. Cucerzan, S.: Large-scale named entity disambiguation based on wikipedia data. In EMNLP-CoNLL, vol. 7, pp. 708–716. Citeseer (2007)
28. Mendes, P.N., Jakob, M., García-Silva, A., Bizer, C.: Dbpedia spotlight: shedding light on the web of documents. In: Proceedings of the 7th International Conference on Semantic Systems, pp. 1–8. ACM (2011)
29. Usbeck, R., Ngonga Ngomo, A.-C., Röder, M., Gerber, D., Coelho, S.A., Auer, S., Both, A.: AGDISTIS - graph-based disambiguation of named entities using linked data. In: Mika, P., Tudorache, T., Bernstein, A., Welty, C., Knoblock, C., Vrandečić, D., Groth, P., Noy, N., Janowicz, K., Goble, C. (eds.) ISWC 2014, Part I. LNCS, vol. 8796, pp. 457–471. Springer, Heidelberg (2014)
30. Moro, A., Cecconi, F., Navigli, R.: Multilingual word sense disambiguation and entity linking for everybody. In: Proc. of ISWC (P&D), pp. 25–28 (2014)
31. Steinmetz, N., Sack, H.: Semantic multimedia information retrieval based on contextual descriptions. In: Cimiano, P., Corcho, O., Presutti, V., Hollink, L., Rudolph, S. (eds.) ESWC 2013. LNCS, vol. 7882, pp. 382–396. Springer, Heidelberg (2013)
32. Van Erp, M., Rizzo, G., Troncy, R.: Learning with the web: spotting named entities on the intersection of nerd and machine learning. In: # MSM, pp. 27–30. Citeseer (2013)
33. Ferragina, P., Scaiella, U.: Fast and accurate annotation of short texts with wikipedia pages. arXiv preprint arXiv:1006.3498 (2010)
34. Usbeck, R., Röder, M., Ngonga-Ngomo, A.C., Baron, C., Both, A., Brümmer, M., Ceccarelli, D., Cornolti, M., Cherix, D., Eickmann, B., et al.: Gerbil-general entity annotation benchmark framework. In: 24th World Wide Web Conference (WWW) (2015)
35. Muñoz, E., Hogan, A., Mileo, A.: Using linked data to mine rdf from wikipedia’s tables. In: Proceedings of the 7th ACM International Conference on Web Search and Data Mining, pp. 533–542. ACM (2014)
36. Sekhavat, Y.A., di Paolo, F., Barbosa, D., Merialdo, P.: Knowledge base augmentation using tabular data. In: Linked Data on theWeb atWWW2014 (2014)
37. Syed, Z.S., Finin, T., Joshi, A.: Wikitology: using wikipedia as an ontology. In: Proceeding of the Second International Conference on Weblogs and Social Media (2008)
38. Sarma, A.D., Fang, L., Gupta, N., Halevy, A., Lee, H., Wu, F., Xin, R., Yu, C.: Finding related tables. In: Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data, pp. 817–828. ACM (2012)
39. Fan, J., Lu, M., Ooi, B.C., Tan, W.-C., Zhang, M.: A hybrid machine-crowdsourcing system for matching web tables. In: 2014 IEEE 30th International Conference on Data Engineering (ICDE), pp. 976–987. IEEE (2014)
40. Bhagavatula, C.S., Noraset, T., Downey, D.: Methods for exploring and mining tables on wikipedia. In: Proceedings of the ACM SIGKDDWorkshop on Interactive Data Exploration and Analytics, pp. 18–26. ACM (2013)