Ontology refinement for improved information retrieval

被引：27
|
作者：
Jimeno-Yepes, Antonio [1 ]
Berlanga-Llavori, Rafael [2 ]
Rebholz-Schuhmann, Dietrich [1 ]
机构：
[1] European Bioinformat Inst, Cambridge, England
[2] Univ Jaume 1, Dept Comp Syst & Languages, Castellon De La Plana, Spain
来源：
INFORMATION PROCESSING & MANAGEMENT | 2010年 / 46卷 / 04期
关键词：
Information retrieval; Information extraction; Ontology refinement; Lexicon cleansing;
D O I：
10.1016/j.ipm.2009.05.008
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Ontologies are frequently used in information retrieval being their main applications the expansion of queries, semantic indexing of documents and the organization of search results. Ontologies provide lexical items, allow conceptual normalization and provide different types of relations. However, the optimization of an ontology to perform information retrieval tasks is still unclear. In this paper, we use an ontology query model to analyze the usefulness of ontologies in effectively performing document searches. Moreover, we propose an algorithm to refine ontologies for information retrieval tasks with preliminary positive results. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码：426 / 435
页数：10
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