User-driven quality evaluation of DBpedia

ACM International Conference Proceeding Series

Volumn , Issue , 2013, Pages 97-104

  Zaveri, Amrapali ^a   Kontokostas, Dimitris ^a   Sherif, Mohamed A ^a   Bühmann, Lorenz ^a   Morsey, Mohamed ^a   Auer, Sören ^b   Lehmann, Jens ^a  

^a UNIVERSITY OF LEIPZIG   (Germany)

^b UNIVERSITY OF BONN   (Germany)

Author keywords

data quality; DBpedia; evaluation; extraction; RDF

Indexed keywords

AGILE METHODOLOGIES; DATA QUALITY; DBPEDIA; EVALUATION; EXTRACTION OF INFORMATION; LINKED OPEN DATA (LOD); QUALITY EVALUATION; RDF;

AUTOMATION; EXTRACTION; SEMANTIC WEB; SEMANTICS; TAXONOMIES;

QUALITY CONTROL;

EID: 84885207971     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2506182.2506195     Document Type: Conference Paper

References (23)

1. S. Auer and J. Lehmann. What have Innsbruck and Leipzig in common? extracting semantics from wiki content. In ESWC, volume 4519 of LNCS, pages 503-517. Springer, 2007. (Pubitemid 47290029)
2. C. Bizer. Quality-Driven Information Filtering in the Context of Web-Based Information Systems. PhD thesis, Freie Universität, March 2007.
3. C. Bizer and R. Cyganiak. Quality-driven information filtering using the wiqa policy framework. Web Semantics, 7(1):1-10, Jan 2009.
4. L. Bühmann and J. Lehmann. Universal owl axiom enrichment for large knowledge bases. In EKAW, 2012.
5. 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.
6. G. Demartini, D. Difallah, and P. Cudré-Mauroux. Zencrowd: Leveraging probabilistic reasoning and crowdsourcing techniques for large-scale entity linking. In 21st International Conference on World Wide Web WWW 2012, pages 469-478, 2012.
7. A. Flemming. Quality characteristics of linked data publishing datasources. Master's thesis, Humboldt-Universität of Berlin, 2010.
8. C. Guéret, P. T. Groth, C. Stadler, and J. Lehmann. Assessing linked data mappings using network measures. In ESWC, volume 7295 of LNCS, pages 87-102. Springer, 2012.
9. A. Hogan, A. Harth, A. Passant, S. Decker, and A. Polleres. Weaving the pedantic web. In LDOW, 2010.
10. A. Hogan, J. Umbrich, A. Harth, R. Cyganiak, A. Polleres, and S. Decker. An empirical survey of linked data conformance. Journal of Web Semantics, 14:14-44, July 2012.
11. J. Howe. The rise of crowdsourcing. Wired Magazine, 14(6), 06 2006.
12. J. Juran. The Quality Control Handbook. McGraw-Hill, New York, 1974.
13. M. Knuth, J. Hercher, and H. Sack. Collaboratively patching linked data. CoRR, 2012.
14. P. Kreis. Design of a quality assessment framework for the dbpedia knowledge base. Master's thesis, Freie Universität Berlin, 2011.
15. Krejcie and Morgan. Determining sample size for research activities. Educational and Psycholoigcal Measurement, 30:607-610, 1970.
16. J. Lehmann. DL-Learner: learning concepts in description logics. Journal of Machine Learning Research (JMLR), 10:2639-2642, 2009.
17. J. Lehmann, C. Bizer, G. Kobilarov, S. Auer, C. Becker, R. Cyganiak, and S. Hellmann. DBpedia - a crystallization point for the web of data. Journal of Web Semantics, 7(3):154-165, 2009.
18. J. Lehmann and L. Bühmann. Ore - a tool for repairing and enriching knowledge bases. In ISWC2010, Lecture Notes in Computer Science, Berlin / Heidelberg, 2010. Springer.
19. J. Lehmann and P. Hitzler. Concept learning in description logics using refinement operators. Machine Learning journal, 78(1-2):203-250, 2010.
20. B. C. Mendes P.N., Mühleisen H. Sieve: Linked data quality assessment and fusion. In LWDM, 2012.
21. C. Sarasua, E. Simperl, and N. Noy. Crowdmap: Crowdsourcing ontology alignment with microtasks. In The Semantic Web - ISWC 2012, Lecture Notes in Computer Science, pages 525-541. Springer Berlin Heidelberg, 2012.
22. J. Wang, T. Kraska, M. J. Franklin, and J. Feng. Crowder: crowdsourcing entity resolution. Proc. VLDB Endow., 5:1483-1494, July 2012.
23. A. Zaveri, A. Rula, A. Maurino, R. Pietrobon, J. Lehmann, and S. Auer. Quality assessment methodologies for linked open data. Under review, available at http://www.semantic-web-journal.net/content/quality-assessment-methodologies- linked-open-data.