SEMANTIC-BASED COMPOSITION OF MODULAR ONTOLOGIES APPLIED TO WEB QUERY REFORMULATION

被引：0

作者：

Elloumi-Chaabene, Manel ^{[1
]}

Ben Mustapha, Nesrine ^{[1
]}

Baazaoui-Zghal, Hajer ^{[1
]}

Moreno, Antonio ^{[2
]}

Sanchez, David ^{[2
]}

机构：

[1] Riadi GDL Lab, ENSI Campus Univ Manouba, Tunis 2010, Tunisia

[2] Univ Rovira & Virgili, ITAKA Res Grp, Dept Engn Informat & Matemat, E-43007 Tarragona, Spain

来源：

ICSOFT 2011: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON SOFTWARE AND DATABASE TECHNOLOGIES, VOL 1 | 2011年

关键词：

Ontology composition; Modular ontology; Module clustering; Semantic measures;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

When a Web query is submitted and relevant documents are not found, users are faced with the difficult task of reformulating the query. It may be argued that ontologies can be useful to automate the query reformulation process, taking advantage of the domain knowledge. This paper proposes a novel way of building a modular ontology that may be suitable for this task, composed of interrelated modules focused on specific topics. We propose to use well-known Web-based semantic relatedness measures to improve the content and structure of the modular ontology. Some experiments on query reformulation based on the obtained ontology modules show satisfactory results.

引用

页码：305 / 308

页数：4