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Reducing semantic complexity in distributed digital libraries Treatment of term vagueness and document re‐ranking

Reducing semantic complexity in distributed digital libraries Treatment of term vagueness and... Purpose – The general science portal “vascoda” merges structured, high‐quality information collections from more than 40 providers on the basis of search engine technology (FAST) and a concept which treats semantic heterogeneity between different controlled vocabularies. First experiences with the portal show some weaknesses of this approach which come out in most metadata‐driven Digital Libraries (DLs) or subject specific portals. The purpose of the paper is to propose models to reduce the semantic complexity in heterogeneous DLs. The aim is to introduce value‐added services (treatment of term vagueness and document re‐ranking) that gain a certain quality in DLs if they are combined with heterogeneity components established in the project “Competence Center Modeling and Treatment of Semantic Heterogeneity”. Design/methodology/approach – Two methods, which are derived from scientometrics and network analysis, will be implemented with the objective to re‐rank result sets by the following structural properties: the ranking of the results by core journals (so‐called Bradfordizing) and ranking by centrality of authors in co‐authorship networks. Findings – The methods, which will be implemented, focus on the query and on the result side of a search and are designed to positively influence each other. Conceptually, they will improve the search quality and guarantee that the most relevant documents in result sets will be ranked higher. Originality/value – The central impact of the paper focuses on the integration of three structural value‐adding methods, which aim at reducing the semantic complexity represented in distributed DLs at several stages in the information retrieval process: query construction, search and ranking and re‐ranking. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Library Review Emerald Publishing

Reducing semantic complexity in distributed digital libraries Treatment of term vagueness and document re‐ranking

Philipp Mayr; Peter Mutschke; Vivien Petras
Library Review , Volume 57 (3): 12 – Mar 21, 2008
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12 pages

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Publisher
Emerald Publishing
Copyright
Copyright © 2008 Emerald Group Publishing Limited. All rights reserved.
ISSN
0024-2535
DOI
10.1108/00242530810865484
Publisher site
See Article on Publisher Site

Abstract

Purpose – The general science portal “vascoda” merges structured, high‐quality information collections from more than 40 providers on the basis of search engine technology (FAST) and a concept which treats semantic heterogeneity between different controlled vocabularies. First experiences with the portal show some weaknesses of this approach which come out in most metadata‐driven Digital Libraries (DLs) or subject specific portals. The purpose of the paper is to propose models to reduce the semantic complexity in heterogeneous DLs. The aim is to introduce value‐added services (treatment of term vagueness and document re‐ranking) that gain a certain quality in DLs if they are combined with heterogeneity components established in the project “Competence Center Modeling and Treatment of Semantic Heterogeneity”. Design/methodology/approach – Two methods, which are derived from scientometrics and network analysis, will be implemented with the objective to re‐rank result sets by the following structural properties: the ranking of the results by core journals (so‐called Bradfordizing) and ranking by centrality of authors in co‐authorship networks. Findings – The methods, which will be implemented, focus on the query and on the result side of a search and are designed to positively influence each other. Conceptually, they will improve the search quality and guarantee that the most relevant documents in result sets will be ranked higher. Originality/value – The central impact of the paper focuses on the integration of three structural value‐adding methods, which aim at reducing the semantic complexity represented in distributed DLs at several stages in the information retrieval process: query construction, search and ranking and re‐ranking.

Journal

Library Review – Emerald Publishing

Published: Mar 21, 2008

Keywords: Digital libraries; Worldwide web; Information management

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