Harnessing linked knowledge sources for topic classification in social media

HT 2013 - Proceedings of the 24th ACM Conference on Hypertext and Social Media

Volumn , Issue , 2013, Pages 41-50

  Cano, Amparo E ^a   Varga, Andrea ^b   Rowe, Matthew ^c   Ciravegna, Fabio ^b   He, Yulan ^d  

^a OPEN UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

^c LANCASTER UNIVERSITY   (United Kingdom)

^d ASTON UNIVERSITY   (United Kingdom)

Author keywords

Emergency response; Linked knowledge sources; Named entities; Semantic concept graphs; Violence detection

Indexed keywords

EMERGENCY RESPONSE; KNOWLEDGE SOURCES; NAMED ENTITIES; SEMANTIC CONCEPT; VIOLENCE DETECTIONS;

GRAPHIC METHODS; SEMANTICS; TELEPHONE SYSTEMS;

HYPERTEXT SYSTEMS;

EID: 84879762278     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2481492.2481497     Document Type: Conference Paper

References (19)

1. F. Abel, Q. Gao, G.-J. Houben, and K. Tao. Analyzing user modeling on twitter for personalized news recommendations. In Proceedings of the 19th international conference on User modeling, adaption, and personalization, UMAP'11, pages 1-12, Berlin, Heidelberg, 2011. Springer-Verlag.
2. 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.
3. K. D. Bollacker, C. Evans, P. Paritosh, T. Sturge, and J. Taylor. Freebase: a collaboratively created graph database for structuring human knowledge. In SIGMOD Conference, pages 1247-1250, 2008.
4. J. Dolby, A. Fokoue, A. Kalyanpur, E. Schonberg, and K. Srinivas. Extracting Enterprise Vocabularies Using Linked Open Data. In 8th International Semantic Web Conference (ISWC2009), Oct. 2009.
5. A. Garcia-Silva, O. Corcho, and J. Gracia. Associating semantics to multilingual tags in folksonomies, 2010.
6. Y. Genc, Y. Sakamoto, and J. V. Nickerson. Discovering context: classifying tweets through a semantic transform based on wikipedia. In Proceedings of the 6th international conference on Foundations of augmented cognition: directing the future of adaptive systems, FAC'11, pages 484-492, Berlin, Heidelberg, 2011. Springer-Verlag.
7. B. Han and T. Baldwin. Lexical normalisation of short text messages: makn sens a #twitter. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1, HLT '11, pages 368-378, Stroudsburg, PA, USA, 2011. Association for Computational Linguistics.
8. J. Hoffart, F. M. Suchanek, K. Berberich, and G. Weikum. Yago2: a spatially and temporally enhanced knowledge base from wikipedia. Artificial Intelligence Journal, Special Issue on Artificial Intelligence, Wikipedia and Semi-Structured Resources, 2012.
9. M. Michelson and S. A. Macskassy. Discovering users' topics of interest on twitter: a first look. In Proceedings of the fourth workshop on Analytics for noisy unstructured text data, AND '10, New York, NY, USA, 2010.
10. D. Milne and I. H. Witten., editors. Learning to link with Wikipedia. 2008.
11. O. Muñoz García, A. García-Silva, O. Corcho, M. de la Higuera Hernández, and C. Navarro. Identifying Topics in Social Media Posts using DBpedia. In M. Jean-Dominique, H. Hrasnica, and F. Genoux, editors, Proceedings of the NEM Summit, pages 81-86. NEM Initiative, Eurescom? the European Institute for Research and Strategic Studies in Telecommunications? GmbH, Sept. 2011.
12. N. L. M. Phan, X. H. and S. Horiguchi. Learning to classify short and sparse text and web with hidden topics from large-scale data collections. In ACM, editor, Proceeding of the 17th international conference on World Wide Web., 2008.
13. A. Ritter, S. Clark, Mausam, and O. Etzioni. Named entity recognition in tweets: An experimental study. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, pages 1524-1534, Edinburgh, Scotland, UK., July 2011. Association for Computational Linguistics.
14. G. Rizzo and R. Troncy. Nerd: a framework for evaluating named entity recognition tools in the web of data. 2011.
15. Y. Song, H. Wang, Z. Wang, H. Li, and W. Chen. Short text conceptualization using a probabilistic knowledgebase. In IJCAI, pages 2330-2336, 2011.
16. A. Varga, A. E. Cano, and F. Ciravegna. Exploring the similarity between social knowledge sources and twitter for cross-domain topic classification. In Proceedings of the Knowledge Extraction and Consolidation from Social Media, 11th International Semantic Web Conference (ISWC2012), 2012.
17. D. Vitale, P. Ferragina, and U. Scaiella. Classification of short texts by deploying topical annotations. In ECIR, pages 376-387, 2012.
18. T. Xu and D. W. Oard. Wikipedia-based topic clustering for microblogs. Proc. Am. Soc. Info. Sci. Tech., 48(1): 1-10, 2011.
19. Z. Zhang, A. L. Gentile, and F. Ciravegna. Harnessing different knowledge sources to measure semantic relatedness under a uniform model. In EMNLP, pages 991-1002, 2011.