On deriving tagsonomies: Keyword relations coming from crowd

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5796 LNAI, Issue , 2009, Pages 309-320

  Barla, Michal ^a   Bieliková, Mária ^a  

^a SLOVAK UNIVERSITY OF TECHNOLOGY   (Slovakia)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); KNOWLEDGE MANAGEMENT; MULTI AGENT SYSTEMS; TEXT PROCESSING; WEBSITES;

ADAPTIVE WEB BASED SYSTEMS; KEYWORD-BASED; SOCIAL BOOKMARKING; TAGGING SYSTEMS; TEXT CLASSIFICATION; USER MODELING;

SEARCH ENGINES;

EID: 70450163395     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04441-0_27     Document Type: Conference Paper

References (12)

1. Heckmann, D., et al.: GUMO - The General User Model Ontology. In: Ardissono, L., Brna, P., Mitrović, A. (eds.) UM 2005. LNCS (LNAI), vol. 3538, pp. 428-432. Springer, Heidelberg (2005)
2. Andrejko, A., Barla, M., Bieliková, M.: Ontology-based User Modeling for Web-based Information Systems. In: Advances in Information Systems Development, pp. 457-468. Springer, Heidelberg (2007)
3. Barla, M., Tvarožek, M., Bieliková, M.: Rule-Based User Characteristics Acquisition from Logs With Semantics for Personalized Web-based Systems. Computing and Informatics (2009) (accepted)
4. Coyle, M., Smyth, B.: (Web Search) shared: Social Aspects of a Collaborative, Community-Based Search Network. In: Nejdl, W., Kay, J., Pu, P., Herder, E. (eds.) AH 2008. LNCS, vol. 5149, pp. 103-112. Springer, Heidelberg (2008)
5. Joachims, T., et al.: Accurately interpreting clickthrough data as implicit feedback. In: SIGIR 2005, pp. 154-161. ACM, New York (2005)
6. Mika, P.: Ontologies are us: A Unified Model of Social Networks and Semantics. J. Web Sem. 5(1), 5-15 (2007)
7. Crestani, F.: Application of Spreading Activation Techniques in Information Retrieval. Artif. Intell. Rev. 11(6), 453-482 (1997)
8. Fellbaum, C.: WordNet: An Electronical Lexical Database. The MIT Press, Cambridge (1998)
9. Schwarzkopf, E., Heckmann, D., Dengler, D., Kröner, A.: Mining the Structure of Tag Spaces for User Modeling. In: Data Mining for User Modeling, Workshop held at UM 2007, pp. 63-75 (2007)
10. Schmitz, C., et al.: Mining Association Rules in Folksonomies. In: Data Science and Classification. Studies in Classification, Data Analysis, and Knowledge Organization, Part VI, pp. 261-270. Springer, Heidelberg (2006)
11. Heymann, P., Garcia-Molina, H.: Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems. Technical report, Computer Science Department, Stanford University (2006), http://heymann.stanford.edu/ taghierarchy.html (June 29, 2006)
12. Shepitsen, A., et al.: Personalized Recommendation in Social Tagging Systems using Hierarchical Clustering. In: Recommender Systems 2008, pp. 259-266. ACM, New York (2008)