The semantic GrowBag algorithm: Automatically deriving categorization systems

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

Volumn 4675 LNCS, Issue , 2007, Pages 1-13

  Diederich, Jörg ^a   Balke, Wolf Tilo ^a  

^a L3S RESEARCH CENTER   (Germany)

Author keywords

Category generation; Faceted search; Higher order co occurrence

Indexed keywords

ALGORITHMS; METADATA; SEARCH ENGINES;

CATEGORY GENERATION; FACETED SEARCH; HIGHER-ORDER CO-OCCURRENCE;

SEMANTIC WEB;

EID: 38149065299     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74851-9_1     Document Type: Conference Paper

References (20)

1. Hearst, M.A.: Clustering versus faceted categories for information exploration. Commun. ACM 49(4), 59-61 (2006)
2. Rodden, K., Basalaj, W., Sinclair, D., Wood, K.: Does organisation by similarity assist image browsing? In: Proc. of SIGCHI conference, pp. 190-197 (2001)
3. Ross, K., Janevski, A.: Querying faceted databases. In: Bussler, C.J., Tannen, V., Fundulaki, I. (eds.) SWDB 2004. LNCS, vol. 3372, pp. 199-218. Springer, Heidelberg (2005)
4. Weber, A., Reuther, P., Walter, B., Ley, M., Klink, S.: Multi-layered browsing and visualization for digital libraries. In: Gonzalo, J., Thanos, C., Verdejo, M.F., Carrasco, R.C. (eds.) ECDL 2006. LNCS, vol. 4172, Springer, Heidelberg (2006)
5. Diederich, J., Thaden, U., Balke, W.T.: The semantic growbag demonstrator for automatically organizing topic facets. In: Proc. of the SIGIR Workshop on Faceted Search (2006)
6. Diederich, J., Thaden, U., Balke, W.T.: Demonstrating the Semantic GrowBag: Automatically Creating Topic Facets for FacetedDBLP. In: Proc. of the JCDL (2007)
7. Cutting, D.R., Karger, D.R., Pedersen, J.O., Tukey, J.W.: Scatter/gather: a cluster-based approach to browsing large document collections. In: Proc. of SIGIR conference, pp. 318-329 (1992)
8. Pratt, W, Hearst, M.A., Fagan, L.M.: A knowledge-based approach to organizing retrieved documents. In: Proc. of the AAAI conference, Menlo Park, CA, USA, pp. 80-85 (1999)
9. Park, J., Hunting, S.: XML Topic Maps: Creating and Using Topic Maps for the Web. Addison-Wesley, Reading (2002)
10. Hearst, M.A.: Automatic acquisition of hyponyms from large text corpora. In: Proc. of the Conference on Computational Linguistics, pp. 539-545 (1992)
11. Cimiano, P., Völker, J.: Text2onto - a framework for ontology learning and data-driven change discovery. In: Montoyo, A., Muñoz, R., Metais, E. (eds.) NLDB 2005. LNCS, vol. 3513, pp. 227-238. Springer, Heidelberg (2005)
12. Sanderson, M., Croft, B.: Deriving concept hierarchies from text. In: Proc. of the SIGIR conference, pp. 206-213 (1999)
13. Schütze, H.: Automatic word sense discrimination. Comput. Linguist. 24(1), 97-123 (1998)
14. Page, L., Brin, S., Motwani, R., Winograd, T.: The pagerank citation ranking: Bringing order to the web. Technical report, Stanford University (1998)
15. Jeh, G., Widom, J.: SimRank: A Measure of Structural-Context Similarity. In: Proc. of the SIGKDD conference (2002)
16. Deerwester, S.C., Dumais, S.T., Landauer, T.K., Furnas, G.W, Harshman, R.A.: Indexing by latent semantic analysis. JASIS 41(6), 391-407 (1990)
17. Hofmann, T.: Probabilistic latent semantic indexing. In: Proc. of SIGIR conference, pp. 50-57 (1999)
18. Baeza-Yates, R.A., Ribeiro-Neto, B.A.: Modern Information Retrieval. ACM Press /Addison-Wesley (1999)
19. Langville, A., Meyer, C.: Deeper inside pagerank. Internet Mathmatics 2(1), 335-380 (2004)
20. Porter, M.: An algorithm for suffix stripping. Program 14(3), 130-137 (1980)