Analysis of structural relationships for hierarchical cluster labeling

SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2010, Pages 178-185

  Muhr, Markus ^a   Kern, Roman ^a   Granitzer, Michael ^b  

^a KNOW CENTER   (Austria)

^b GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Cluster labeling; Statistical methods; Structural information; Topic hierarchies

Indexed keywords

CLUSTER LABELING; DATA SETS; DOCUMENT CLUSTERING; HIERARCHICAL CLUSTERS; HIERARCHICAL INFORMATION; HIERARCHICAL STRUCTURES; INFORMATION GAIN; JENSEN-SHANNON DIVERGENCE; LABELING ALGORITHMS; OHSUMED; OPEN DIRECTORY PROJECTS; STRUCTURAL INFORMATION; STRUCTURAL RELATIONSHIP; TERM FREQUENCY; TOPIC HIERARCHY; WIKIPEDIA;

HIERARCHICAL SYSTEMS; INFORMATION RETRIEVAL; STATISTICAL TESTS; STATISTICS;

DATA PROCESSING;

EID: 77956036451     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1835449.1835481     Document Type: Conference Paper

References (19)

1. D. Carmel, H. Roitman, and N. Zwerdling. Enhancing cluster labeling using wikipedia. In SIGIR '09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, pages 139-146. ACM Press, 2009.
2. D. Carmel, E. Yom-Tov, A. Darlow, and D. Pelleg. What makes a query difficult? In SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, pages 390-397. ACM Press, 2006.
3. O. S. Chin, N. Kulathuramaiyer, and A. W. Yeo. Automatic discovery of concepts from text. In Web Intelligence, pages 1046-1049. IEEE Computer Society, 2006.
4. E. P. (CLEF-IP). European patents (clef-ip), 2009. [Online; accessed 07-January-2010].
5. D. R. Cutting, J. O. Pedersen, D. Karger, and J. W. Tukey. Scatter/gather: A cluster-based approach to browsing large document collections. In SIGIR '92: Proceedings of the Fifteenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 318-329. ACM Press, 1992.
6. W. English. Wikipedia english, 2009. [Online; accessed 12-May-2009].
7. F. Geraci, M. Pellegrini, M. Maggini, and F. Sebastiani. Cluster generation and labeling for web snippets: A fast, accurate hierarchical solution. Internet Mathematics, 3(4):413-443, 2007.
8. F. P. Giovanna Roda, John Tait and V. Zenz. Clef-ip 2009: Retrieval experiments in the intellectual property domain. In Working Notes for the CLEF 2009 Workshop, 2009.
9. E. J. Glover, D. M. Pennock, S. Lawrence, and R. Krovetz. Inferring hierarchical descriptions. In CIKM '02: Proceedings of the eleventh international conference on Information and knowledge management, pages 507-514. ACM Press, 2002.
10. H. Guan, J. Zhou, and M. Guo. A class-feature-centroid classifier for text categorization. In WWW '09: Proceedings of the 18th international conference on World wide web, page 201. ACM Press, 2009.
11. C. D. Manning, P. Raghavan, and H. Schütze. Introduction to Information Retrieval. Cambridge University Press, Cambridge, UK, 2008.
12. O. D. P. (ODP). Open directory project (odp), 2009. [Online; accessed 29-September-2009].
13. S. Osinski and D. Weiss. A concept-driven algorithm for clustering search results. IEEE Intelligent Systems, 20(3):48-54, 2005.
14. A. Popescul and L. H. Ungar. Automatic labeling of document clusters, 2000.
15. D. Radev, H. Jing, M. Stys, and D. Tam. Centroid-based summarization of multiple documents. 2004.
16. V. Sabol, W. Kienreich, M. Muhr, W. Klieber, and M. Granitzer. Visual knowledge discovery in dynamic enterprise text repositories. In IV '09: Proceedings of the 2009 13th International Conference Information Visualisation, pages 361-368. IEEE Computer Society, 2009.
17. H. Toda and R. Kataoka. A clustering method for news articles retrieval system. In WWW '05: Special interest tracks and posters of the 14th international conference on World Wide Web, pages 988-989. ACM Press, 2005.
18. O. T. C. TREC-9. Ohsumed test collection trec-9, 2000. [Online; accessed 14-December-2009].
19. P. Treeratpituk and J. Callan. Automatically labeling hierarchical clusters. In DGO '06: Proceedings of the 2006 International Conference on Digital Government Research, pages 167-176, 2006.