Triplifying wikipedia's tables

CEUR Workshop Proceedings

Volumn 1057, Issue , 2013, Pages

  Muñoz, Emir ^a   Hogan, Aidan ^a   Mileo, Alessandra ^a  

^a NATIONAL UNIVERSITY OF IRELAND   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA HANDLING; INFORMATION ANALYSIS; INFORMATION RETRIEVAL; KNOWLEDGE MANAGEMENT; LEARNING SYSTEMS; SEMANTIC WEB; SOCIAL NETWORKING (ONLINE); WEBSITES;

DBPEDIA; HIGH QUALITY; KNOWLEDGE BASIS; MACHINE LEARNING METHODS; RDF TRIPLES; WIKIPEDIA; WIKIPEDIA ARTICLES;

DATA MINING;

EID: 84922894862     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. C. Bizer, J. Lehmann, G. Kobilarov, S. Auer, C. Becker, R. Cyganiak, and S. Hellmann. DBpedia -A crystallization point for the Web of Data. J. Web Sem., 7(3):154-165, 2009.
2. M. J. Cafarella, A. Y. Halevy, D. Z. Wang, E. Wu, and Y. Zhang. WebTables: Exploring the power of tables on the Web. PVLDB, 1(1):538-549, 2008.
3. E. Crestan and P. Pantel. A fine-grained taxonomy of tables on the Web. In J. Huang, N. Koudas, G. J. F. Jones, X. Wu, K. Collins-Thompson, and A. An, editors, CIKM, pages 1405-1408. ACM, 2010.
4. E. Crestan and P. Pantel. Web-scale table census and classification. In I. King, W. Nejdl, and H. Li, editors, WSDM, pages 545-554. ACM, 2011.
5. S. Das, S. Sundara, and R. Cyganiak. R2RML: RDB to RDF Mapping Language. W3C Recommendation, September 2012.
6. L. Ding, D. DiFranzo, A. Graves, J. Michaelis, X. Li, D. L. McGuinness, and J. Hendler. Data-gov Wiki: Towards Linking Government Data. In AAAI Spring Symposium: Linked Data Meets Artificial Intelligence. AAAI, 2010.
7. W. Gatterbauer, P. Bohunsky, M. Herzog, B. Krüpl, and B. Pollak. Towards domain-independent information extraction from Web tables. In WWW, pages 71-80, New York, NY, USA, 2007. ACM.
8. J. Hoffart, F. M. Suchanek, K. Berberich, and G. Weikum. YAGO2: A spatially and temporally enhanced knowledge base from wikipedia. Artif. Intell., 194:28-61, 2013.
9. M. Hurst. Layout and language: Challenges for table understanding on the web. In Workshop on Web Document Analysis (WDA), pages 27-30, 2001.
10. G. Limaye, S. Sarawagi, and S. Chakrabarti. Annotating and searching web tables using entities, types and relationships. In PVLDB, 2010.
11. P. N. Mendes, M. Jakob, A. Garca-Silva, and C. Bizer. DBpedia spotlight: Shedding light on the web of documents. In I-SEMANTICS, pages 1-8, 2011.
12. P. Mika, M. Ciaramita, H. Zaragoza, and J. Atserias. Learning to Tag and Tagging to Learn: A Case Study on Wikipedia. IEEE Intelligent Systems, 23(5):26-33, 2008.
13. P. Mika, E. Meij, and H. Zaragoza. Investigating the semantic gap through query log analysis. In ISWC, pages 441-455, 2009.
14. V. Mulwad, T. Finin, Z. Syed, and A. Joshi. T2LD: Interpreting and Representing Tables as Linked Data. In ISWC Posters&Demos, 2010.
15. V. Mulwad, T. Finin, Z. Syed, and A. Joshi. Using Linked Data to interpret tables. In COLD, November 2010.
16. A. Pivk, P. Cimiano, Y. Sure, M. Gams, V. Rajkovic, and R. Studer. Transforming arbitrary tables into logical form with TARTAR. Data Knowl. Eng., 60(3):567-595, 2007.
17. Z. Syed, T. Finin, V. Mulwad, and A. Joshi. Exploiting a Web of Semantic Data for Interpreting Tables. In WebSci10, Raleigh NC, USA, April 26-27th 2010.
18. P. Venetis, A. Halevy, J. Madhavan, M. Paşca, W. Shen, F. Wu, G. Miao, and C. Wu. Recovering semantics of tables on the Web. PVLDB, 4(9):528-538, June 2011.
19. Y. Wang and J. Hu. A machine learning based approach for table detection on the web. In WWW, pages 242-250, New York, NY, USA, 2002. ACM.
20. M. Yoshida, K. Torisawa, and J. Tsujii. A method to integrate tables of the World Wide Web. In Workshop on Web Document Analysis (WDA), pages 31-34, 2001.