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Boyack, K.W.; Wylie,B.N.; Davidson, G.S.: Information Visualization, Human-Computer Interaction, and Cognitive Psychology : Domain Visualizations (2002) 0.02

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Date: 22. 2.2003 17:25:39
22. 2.2003 18:17:40

Sacco, G.M.: Dynamic taxonomies and guided searches (2006) 0.02

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Date: 22. 7.2006 17:56:22

Faaborg, A.; Lagoze, C.: Semantic browsing (2003) 0.01

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Source: Research and advanced technology for digital libraries : 7th European Conference, proceedings / ECDL 2003, Trondheim, Norway, August 17-22, 2003

Knorz, G.; Rein, B.: Semantische Suche in einer Hochschulontologie (2005) 0.01

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Date: 11. 2.2011 18:22:58

Knorz, G.; Rein, B.: Semantische Suche in einer Hochschulontologie : Ontologie-basiertes Information-Filtering und -Retrieval mit relationalen Datenbanken (2005) 0.01

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Date: 11. 2.2011 18:22:25

Klas, C.-P.; Fuhr, N.; Schaefer, A.: Evaluating strategic support for information access in the DAFFODIL system (2004) 0.01

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Date: 16.11.2008 16:22:48

Greenberg, J.: Automatic query expansion via lexical-semantic relationships (2001) 0.01
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Abstract

Structured thesauri encode equivalent, hierarchical, and associative relationships and have been developed as indexing/retrieval tools. Despite the fact that these tools provide a rich semantic network of vocabulary terms, they are seldom employed for automatic query expansion (QE) activities. This article reports on an experiment that examined whether thesaurus terms, related to query in a specified semantic way (as synonyms and partial-synonyms (SYNs), narrower terms (NTs), related terms (RTs), and broader terms (BTs)), could be identified as having a more positive impact on retrieval effectiveness when added to a query through automatic QE. The research found that automatic QE via SYNs and NTs increased relative recall with a decline in precision that was not statistically significant, and that automatic QE via RTs and BTs increased relative recall with a decline in precision that was statistically significant. Recallbased and a precision-based ranking orders for automatic QE via semantically encoded thesauri terminology were identified. Mapping results found between enduser query terms and the ProQuest Controlled Vocabulary (1997) (the thesaurus used in this study) are reported, and future research foci related to the investigation are discussed

Song, D.; Bruza, P.D.: Towards context sensitive information inference (2003) 0.01

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Date: 22. 3.2003 19:35:46

Shiri, A.A.; Revie, C.: Query expansion behavior within a thesaurus-enhanced search environment : a user-centered evaluation (2006) 0.01

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Date: 22. 7.2006 16:32:43

Bradford, R.B.: Relationship discovery in large text collections using Latent Semantic Indexing (2006) 0.01

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Source: Proceedings of the Fourth Workshop on Link Analysis, Counterterrorism, and Security, SIAM Data Mining Conference, Bethesda, MD, 20-22 April, 2006. [http://www.siam.org/meetings/sdm06/workproceed/Link%20Analysis/15.pdf]

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