Exploring entity recognition and disambiguation for cultural heritage collections

Digital Scholarship in the Humanities

Volumn 30, Issue 2, 2015, Pages 262-279

  van Hooland, Seth ^a   de Wilde, Max ^a   Verborgh, Ruben ^b   Steiner, Thomas ^c   Van de Walle, Rik ^b  

^a UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

^b GHENT UNIVERSITY   (Belgium)

^c UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84974731274     PISSN: 20557671     EISSN: 2055768X     Source Type: Journal    
DOI: 10.1093/llc/fqt067     Document Type: Article

References (47)

1. Ananiadou, S. and McNaught, J. (eds) (2006). Text Mining for Biology and Biomedicine. London: Artech House.
2. Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., and Ives, Z. (2007). DBpedia: A Nucleus for a Web of Open Data. In: The Semantic Web: 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference. ISWC 2007 + ASWC 2007. Berlin Heidelberg: Springer, pp. 722-35.
3. Bagga, A. and Baldwin, B. (1998). Entity-based cross-document coreferencing using the vector space model. In: Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics - Volume 1. ACL'98. Association for Computational Linguistics, Stroudsburg, PA, USA, pp. 79-85. http://dx.doi.org/10.3115/980845.980859.
4. Barnes, J. (1989). A History of the World in Ten and a Half chapters. London: Jonathan Cape.
5. Berners-Lee, T. (2002 a). "The range of the HTTP dereference function", Maling list of the W3C Technical Architecture Group. http://lists.w3.org/Archives/Public/www-tag/2002Mar/0092.html (accessed 20 January 2013).
6. Berners-Lee, T. (2002 b). "What do HTTP URIs identify?". http://www.w3.org/DesignIssues/HTTP-URI.html (accessed 20 January 2013).
7. Berners-Lee, T. (2002 c). "What is the range of the HTTP dereference function?", Issue of the W3C Technical Architecture Group. http://www.w3.org/2001/tag/group/track/issues/14 (accessed 20 January 2013).
8. Berners-Lee, T. (2006). Linked Data. http://www.w3.org/DesignIssues/LinkedData.html (accessed 20 January 2013).
9. Berners-Lee, T., Fielding, R.T. and Masinter, L. (1994). "Uniform Resource Identifier (URI): Generic syntax", IETF Request for Comments. http://tools.ietf.org/html/rfc3986 (accessed 20 January 2013).
10. Berners-Lee, T., Masinter, L. and McCahill, M. (2005). "Uniform Resource Locators (URL)", IETF Request for Comments. http://tools.ietf.org/html/rfc1738 (accessed 20 January 2013).
11. Boydens, I. (1999). Informatique, Normes et Temps. Brussels: Bruylant.
12. Boydens, I. (2011). Strategic Issues Relating to Data Quality for E-government: Learning from an Approach Adopted in Belgium. In: Practical Studies in E-Government: Best Practices from Around the World. New York: Springer, pp. 113-30.
13. Boydens, I. and van Hooland, S. (2011). Hermeneutics applied to the quality of empirical databases. Journal of Documentation, 67: 279-89.
14. Buitinck, L. and Marx, M. (2012). Two-stage named-entity recognition using averaged perceptrons. In: Bouma, G., Ittoo, A., Métais, E., and Wortmann, H. (eds), NLDB Vol. 7337 of Lecture Notes in Computer Science. Berlin Heidelberg: Springer, pp. 171-6.
15. Carletta, J. (1996). Assessing agreement on classification tasks: the kappa statistic. Computational Lingusitics, 22: 249-54. Cambridge, MA, USA: MIT Press. http://dl.acm.org/citation.cfm?id=230386.230390.
16. Chan, S. (2008). OpenCalais meets our museum collection: auto-tagging and semantic parsing of collection data. http://www.freshandnew.org/2008/03/opac20-opencalais-meets-our-museum-collection-auto-tagging-and-semantic-parsing-of-collection-data/ (accessed 20 January 2013).
17. Chiticariu, L., Krishnamurthy, R., Li, Y., Reiss, F., and Vaithyanathan, S. (2010). Domain adaptation of rule-based annotators for named-entity recognition tasks. In: Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing. Massachusetts, USA: MIT, pp. 1002-12.
18. Doerr, M. (2001). Semantic problems of thesaurus mapping. Journal of Digital Information, 1.
19. Drucker, J. (2012). Debates in the Digital Humanities. Minnesota Press, chapter Humanistic Theory and Digital Scholarship, pp. 85-95.
20. Fielding, R. T. (2005). The range of the HTTP dereference function. Maling list of the W3C Technical Architecture Group. http://lists.w3.org/Archives/Public/www-tag/2005Jun/0039.html (accessed 20 January 2013).
21. Foulonneau, M. and Riley, J. (2008). Metadata for Digital Resources. Oxford: Chandos.
22. Grishman, R. and Sundheim, B. (1996). Message Understanding Conference-6: a brief history. In: 16th International Conference on Computational Linguistics. Stroudsburg, PA, USA: ACL, pp. 466-71.
23. Hoffart, J., Yosef, A., Bordino, I. et al. (2011). Robust disambiguisation of named entities in text. In: Conference on Empirical Methods in Natural Language Processing, pp. 782-92.
24. Isaac, A., Schlobach, S., Matthezing, H., and Zinn, C. (2008). Integrated access to cultural heritage resources through representation and alignment of controlled vocabularies. Library Review, 57: 187-99. http://www.emeraldinsight.com/10.1108/00242530810865475.
25. ISO (2005). Quality management systems-fundamentals and vocabulary (ISO 9000:2005), Technical Report. Genève, Switzerland: International Organization for Standardization.
26. Kripke, S. (1982). Naming and Necessity. Cambridge, MA, USA: Harvard University Press.
27. Kulkarni, S., Singh, A., Ramakrishnan, G. and Chakrabarti, S. (2009). Collective annotation of Wikipedia entities in web text. In: 15th ACM International Conference on Knowledge Discovery and Data Mining, pp. 457-66.
28. Lenat, D. B. (1995). CYC: A large-scale investment in knowledge infrastructure. Communications of the ACM, Vol. 38. New York, NY, USA: ACM, pp. 33-8.
29. Lin, Y., Ahn, J.-W., Brusilovsky, P., He, D. and Real, W. (2010). ImageSieve: exploratory search of museum archives with named entity-based faceted browsing. Journal of the American Society for Information Science and Technology, 47: 1-10.
30. Markoff, J. (2007). Start-Up Aims for Database to Automate Web Searching. http://www.nytimes.com/2007/03/09/technology/09data.html (accessed 19 November 2012).
31. Moens, M. F. (2006). Information Extraction: Algorithms and Prospects in a Retrieval Context. Secaucus, NJ, USA: Springer-Verlag New York, Inc.
32. Nadeau, D. and Sekine, S. (2007). A survey of named entity recognition and classification. Linguisticae Investigationes, 30: 3-26.
33. Navigli, R. (2009). Word sense disambiguation: A survey. ACM Computing Survey, Vol. 41. New York, NY, USA: ACM, pp. 10:1-10:69. http://doi.acm.org/10.1145/1459352.1459355.
34. Oostdijk, N., Reynaert, M., Monachesi, P. et al. (2008). From D-Coi to SoNaR: a reference corpus for Dutch. In: Chair, N. C. C., Choukri, K., Maegaard, B. et al. (eds), Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08). Marrakech, Morocco: European Language Resources Association (ELRA).
35. Ramsay, S. and Rockwell, G. (2012). Developing things: notes towards an epistemology of building in the digital humanities. In: Debates in the Digital Humanities. Minnesota Press, pp. 75-84.
36. Ramshaw, L. A. and Marcus, M. P. (1995). Text chunking using transformation-based learning. In: ACL Third Workshop on Very Large Corpora. Cambridge, MA, USA: ACL, pp. 82-94.
37. Rees, J. (2012). HTTP-range 14 webography. W3C Wiki pages. http://www.w3.org/wiki/HttpRange14Webography (accessed 20 January 2013).
38. Rizzo, G. and Troncy, R. (2011). NERD: evaluating named entity recognition tools in the Web of data, ISWC 2011. Workshop on Web Scale Knowledge Extraction (WEKEX'11). Bonn, Germany.
39. Rodriquez, K. J., Bryant, M., Blanke, T. and Luszczynska, M. (2012). Comparison of named entity recognition tools for raw OCR text. In: Proceedings of KONVENS 2012, pp. Vienna. 410-14.
40. Segers, R., Van Erp, M., van der Meij, L. et al. (2011). Hacking history: Automatic historical event extraction for enriching cultural heritage multimedia collections. In: Proceedings of the 6th International Conference on Knowledge Capture (K-CAP'11). New York: ACM.
41. Tamilin, A., Magnini, B., Serafini, L., Girardi, C., Joseph, M. and Zanoli, R. (2010). Context-driven semantic enrichment of Italian news archive. In: Proceedings of the 7th international conference on The Semantic Web: research and Applications-Volume Part I, ESWC'10. Berlin, Heidelberg: Springer-Verlag, pp. 364-78.
42. Tjong Kim Sang, E. F. (2002). Introduction to the CoNLL-2002 shared task: Language-independent named entity recognition. In: Proceedings of CoNLL-2002. Taipei, Taiwan, pp. 155-8.
43. Tudhope, D., Binding, C., Jeffrey, S., May, K. and Vlachidis, A. (2011). A stellar role for knowledge organization systems in digital archaeology. Bulletin of the American Society for Information Science and Technology, 37: 15-18.
44. van der Meij, L., Isaac, A. and Zinn, C. (2010). A web-based repository service for vocabularies and alignments in the cultural heritage domain. In: Proceedings of the 7th European Semantic Web Conference (ESWC). 6088: 394-409.
45. van Erp, M., Oomen, J., Segers, R. et al. (2011). Automatic heritage metadata enrichment with historic events. In: Trant, J. and Bearman, D. (eds), Museums and the Web 2011: Proceedings. Archives & Museum Informatics. Toronto.
46. van Hooland, S., Vandooren, F., and Mendéz, E. (2011). Opportunities and risks for libraries in applying for European funding. The Electronic Library, 29: 90-104.
47. van Hooland, S., Verborgh, R., Wilde, M. D., Hercher, J., Mannens, E., and Van de Walle, R. (2013). Evaluating the success of vocabulary reconciliation for cultural heritage collections. Journal of the American Society for Information Science and Technology, 64: 464-79.