Entity discovery and annotation in tables

ACM International Conference Proceeding Series

Volumn , Issue , 2013, Pages 693-704

  Quercini, Gianluca ^a   Reynaud, Chantal ^a  

^a UNIVERSITÉ PARIS SACLAY   (France)

Author keywords

entity annotation in tables; entity discovery in tables; Google fusion tables

Indexed keywords

AUTOMATIC EXTRACTION; DATA EXTRACTION; ENTITY ANNOTATION IN TABLES; ENTITY DISCOVERY IN TABLES; GOOGLE FUSION TABLES; POINTS OF INTEREST; REGULAR STRUCTURE; UNSTRUCTURED TEXTS;

DATABASE SYSTEMS; SEMANTICS;

ALGORITHMS;

EID: 84876794310     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2452376.2452457     Document Type: Conference Paper

References (25)

1. BIZER, C., LEHMANN, J., KOBILAROV, G., AUER, S., BECKER, C., CYGANIAK, R., AND HELLMANN, S. DBpedia - A Crystallization Point for the Web of Data. Web Semant. 7 (September 2009), 154-165.
2. BORGES, K. A. V., LAENDER, A. H. F., MEDEIROS, C. B., AND DAVIS, JR., C. A. Discovering Geographic Locations in Web Pages Using Urban Addresses. In Proceedings of the 4th ACM Workshop on Geographical Information Retrieval (New York, NY, USA, 2007), GIR '07, ACM, pp. 31-36.
3. CAFARELLA, M. J., HALEVY, A., WANG, D. Z., WU, E., AND ZHANG, Y. WebTables: Exploring the Power of Tables on the Web. Proc. VLDB Endow. 1, 1 (2008), 538-549.
4. CIMIANO, P., AND VÖLKER, J. Towards Large-scale, Open-domain and Ontology-based Named Entity Classification. In In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP'05) (2005), INCOMA Ltd, pp. 166-172.
5. DOAN, A., RAMAKRISHNAN, R., AND HALEVY, A. Y. Crowdsourcing Systems on the World-Wide Web. Commun. ACM 54 (2011), 86-96.
6. FLEISCHMAN, M., AND HOVY, E. Fine Grained Classification of Named Entities. In Proceedings of the 19th International Conference on Computational Linguistics - Volume 1 (Stroudsburg, PA, USA, 2002), COLING '02, Association for Computational Linguistics, pp. 1-7.
7. GANTI, V., KÖNIG, A. C., AND VERNICA, R. Entity Categorization over Large Document Collections. In Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (New York, NY, USA, 2008), KDD '08, ACM, pp. 274-282.
8. GIULIANO, C. Fine-grained Classification of Named Entities Exploiting Latent Semantic Kernels. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (Stroudsburg, PA, USA, 2009), CoNLL '09, Association for Computational Linguistics, pp. 201-209.
9. GONZALEZ, H., HALEVY, A. Y., JENSEN, C. S., LANGEN, A., MADHAVAN, J., SHAPLEY, R., SHEN, W., AND GOLDBERG-KIDON, J. Google Fusion Tables: Web-centered Data Management and Collaboration. In Proceedings of the 2010 International Conference on Management of Data (New York, NY, USA, 2010), SIGMOD '10, ACM, pp. 1061-1066.
10. GUO, X., CHEN, Y., CHEN, J., AND DU, X. ITEM: Extract and Integrate Entities from Tabular Data to RDF Knowledge Base. In Proceedings of the 13th Asia-Pacific Web Conference on Web Technologies and Applications (Berlin, Heidelberg, 2011), APWeb'11, Springer-Verlag, pp. 400-411.
11. HAN, L., FININ, T., PARR, C., SACHS, J., AND JOSHI, A. RDF123: From Spreadsheets to RDF. In The Semantic Web - ISWC 2008, vol. 5318 of Lecture Notes in Computer Science. Springer Berlin/Heidelberg, 2008, pp. 451-466.
12. HIGNETTE, G., BUCHE, P., DIBIE-BARTHÉLEMY, J., AND HAEMMERLÉ, O. Fuzzy Annotation of Web Data Tables Driven by a Domain Ontology. In Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications (Berlin, Heidelberg, 2009), ESWC 2009, Springer-Verlag, pp. 638-653.
13. HSU, C. W., CHANG, C. C., AND LIN, C. J. A Practical Guide to Support Vector Classification. Retrieved online at http://www.csie.ntu.edu.tw/cjlin/ papers/guide/guide.pdf, 2003.
14. LIMAYE, G., SARAWAGI, S., AND CHAKRABARTI, S. Annotating and Searching Web Tables Using Entities, Types and Relationships. Proc. VLDB Endow. 3 (September 2010), 1338-1347.
15. MULWAD, V. DC proposal: Graphical Models and Probabilistic Reasoning for Generating Linked Data from Tables. In Proceedings of the 10th international conference on The semantic web - Volume Part II (Berlin, Heidelberg, 2011), ISWC'11, Springer-Verlag, pp. 317-324.
16. NI, Y., ZHANG, L., QIU, Z., AND WANG, C. Enhancing the Open-domain Classification of Named Entity Using Linked Open Data. In Proceedings of the 9th International Semantic Web Conference on The semantic Web - Volume Part I (Berlin, Heidelberg, 2010), ISWC'10, Springer-Verlag, pp. 566-581.
17. QUERCINI, G., SETZ, J., SONNTAG, D., AND REYNAUD, C. Facetted Browsing of Extracted Fusion Tables Data for Digital Cities. In Proceedings of the Web of Linked Entities Workshop in conjunction with the 11th International Semantic Web Conference (ISWC 2012) (2012), pp. 94-105.
18. SETZ, J., QUERCINI, G., SONNTAG, D., AND REYNAUD, C. Facetted Search on Extracted Fusion Tables Data for Digital Cities. In 35th Annual German Conference on Artificial Intelligence (Demo paper) (2012).
19. SUCHANEK, F. M., KASNECI, G., AND WEIKUM, G. Yago: a Core of Semantic Knowledge. In Proceedings of the 16th International Conference on World Wide Web (New York, NY, USA, 2007), WWW '07, ACM, pp. 697-706.
20. VAN ASSEM, M., RIJGERSBERG, H., WIGHAM, M., AND TOP, J. Converting and Annotating Quantitative Data Tables. In Proceedings of the 9th International Semantic Web Conference on The Semantic Web - Volume Part I (Berlin, Heidelberg, 2010), ISWC'10, Springer-Verlag, pp. 16-31.
21. VAN RIJSBERGEN, C. J., ROBERTSON, S. E., AND PORTER, M. F. New models in probabilistic information retrieval. In British Library Research and Development Report, no. 5587 (1980), London: British Library.
22. VENETIS, P., HALEVY, A., MADHAVAN, J., PAŞCA, M., SHEN, W., WU, F., MIAO, G., AND WU, C. Recovering Semantics of Tables on the Web. Proc. VLDB Endow. 4 (2011), 528-538.
23. WANG, J., WANG, H., WANG, Z., AND ZHU, K. Q. Understanding Tables on the Web. In Conceptual Modeling - 31st International Conference ER 2012 (2012), vol. 7532 of Lecture Notes in Computer Science, Springer, pp. 141-155.
24. WU, W., LI, H., WANG, H., AND ZHU, K. Q. Probase: a Probabilistic Taxonomy for Text Understanding. In Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data (New York, NY, USA, 2012), SIGMOD '12, ACM, pp. 481-492.
25. ZICARI, R. V. Google Fusion Tables. Interview with Alon Y. Halevy. http://www.odbms.org/blog/2011/08/google-fusion-tables-interview-with-alon-y- halevy/, 2011.