Information Technology Reference
In-Depth Information
References
1. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large
databases. In: VLDB, pp. 487-499 (1994)
2. An, Y.J., Geller, J., Wu, Y.-T., Chun, S.A.: Automatic generation of ontology from
the deep web. In: Database and Expert Systems Applications (2007)
3. Barla, M., Bielikova, M.: On deriving tagsonomies: Keyword relations coming from
crowd. In: Conference on Computational Collective Intelligence (2009)
4. Berland, M., Charniak, E.: Finding parts in very large corpora. In: Annual Meeting
of the Association for Computational Linguistics, pp. 57-64 (1999)
5. Eda, T., Yoshikawa, M., Uchiyama, T.: The effectiveness of latent semantic anal-
ysis for building up a bottom-up taxonomy from folksonomy tags. World Wide
Web 12(4), 421-440 (2009)
6. Girju, R., Badulescu, A., Moldovan, D.: Automatic discovery of part-whole rela-
tions. Comput. Linguist. 32(1), 83-135 (2006)
7. Golder, S., Huberman, B.A.: The structure of collaborative tagging systems. Jour-
nal of Information Science 32(2), 198-208 (2005)
8. Han, J., Pei, J., Yin, Y., Mao, R.: Mining frequent patterns without candidate
generation: A frequent-pattern tree approach. Data Mining and Knowledge Dis-
covery 8(1), 53-87 (2004)
9. Hearst, M.A.: Automatic acquisition of hyponyms from large text corpora. In:
Conference on Computational linguistics, pp. 539-545 (1992)
10. Heymann, Garcia-Molina.: Collaborative creation of communal hierarchical tax-
onomies in social tagging systems. Technical Report 2006-10, Stanford (2006)
11. Hotho, A., Jaschke, R., Schmitz, C., Stumme, G.: BibSonomy: A social bookmark
and publication sharing system. In: Conceptual Structures Tool Interoperability
Workshop at the International Conference on Conceptual Structures (2006)
12. Keller, F., Lapata, M.: Using the web to obtain frequencies for unseen bigrams.
Computational Linguistics 29(3), 459-484 (2003)
13. Keller, F., Lapata, M., Ourioupina, O.: Using the web to overcome data sparseness.
In: ACL Conference on Empirical Methods in NLP, pp. 230-237 (2002)
14. Korner, C., Benz, D., Hotho, A., Strohmaier, M., Stumme, G.: Stop thinking, start
tagging: tag semantics emerge from collaborative verbosity. In: WWW (2010)
15. Kruse, P.M., Naujoks, A., Rsner, D., Kunze, M.: Clever search: A wordnet based
wrapper for internet search engines. In: Proceedings of the 2nd GermaNet Work-
shop (2005)
16. Laniado, D., Eynard, D., Colombetti, M.: Using wordnet to turn a folksonomy into
a hierarchy of concepts. In: Semantic Web Application and Perspectives - Fourth
Italian Semantic Web Workshop, pp. 192-201 (December 2007)
17. Lapata, M., Keller, F.: Web-based models for natural language processing. ACM
Transactions on Speech and Language Processing 2, 1-31 (2005)
18. Lin, H., Davis, J., Zhou, Y.: An integrated approach to extracting ontological
structures from folksonomies. In: Aroyo, L., Traverso, P., Ciravegna, F., Cimiano,
P., Heath, T., Hyvonen, E., Mizoguchi, R., Oren, E., Sabou, M., Simperl, E. (eds.)
ESWC 2009. LNCS, vol. 5554, pp. 654-668. Springer, Heidelberg (2009)
19. Liu, K., Fang, B., Zhang, W.: Ontology emergence from folksonomies. In: CIKM,
pp. 1109-1118 (2010)
20. Moosavi, A., Li, T., Lakshmanan, L.V., Pottinger, R.: ONTECTAS: Bridging
the gap between collaborative tagging systems and structured data (full version),
http://www.cs.ubc.ca/ ~ rap/ontectas.pdf
 
Search WWH ::




Custom Search