A semantic information retrieval approach based on rough ontology

被引：0

作者：

Hu, Jun ^{[1
]}

Lu, Xinzhou ^{[1
]}

Guan, Chun ^{[2
]}

机构：

[1] School of Software, Nanchang University, Nanchang

[2] School Department of Computer Science, Nanchang University, Nanchang

来源：

Open Cybernetics and Systemics Journal | 2014年 / 8卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Association search; Rough ontology; Semantic information retrieval; Similarity;

D O I：

10.2174/1874110X01408010399

中图分类号：

学科分类号：

摘要：

With the emergence of the semantic web, ontology has attracted a great deal of attention in field of information retrieval. But the conceptual formalism supported by typical ontology is not sufficient for handling incomplete information that is confronted in the real world knowledge. To tackle this problem, a semantic information retrieval approach based on a rough ontology is proposed. Rough ontology in this paper is in the form of an ontology information system. Given a keyword based query, our approach infers the individuals and properties correlated to the query through a procedure of association searches in the rough ontology, and takes properties as equivalence relations to construct an approximation space of rough ontology. Afterward, an algorithm of computing similarity in rough ontology is presented, and approximation space is employed to compute similarity for ranking documents in semantic document indexing space. The proposed approach has been compared with two other information retrieval techniques, and the experiments conducted on CNKI collections, support the better efficacy which results from our approach. © Hu et al.; Licensee Bentham Open.

引用

页码：399 / 404

页数：5

共 26 条

[1]

Chen M.Y., Chu H.C., Chen Y.M., Developing a semantic-enable information retrieval mechanism, Expert Syst. Appl, 37, pp. 322-340, (2010)

[2]

Zadeh L.A., Fuzzy sets, Inform. Control, 8, pp. 338-353, (1965)

[3]

Pawlak Z., Rough set, Int. J. Inf. Comp. Sci, 1, pp. 341-3561, (1982)

[4]

Fernando B., Umberto S., Aggregation operators for fuzzy ontologies, Appl. Soft Comput, 13, pp. 3816-3830, (2013)

[5]

Fu Z., Ma Z.M., Li Y., “Construction of fuzzy ontologies from fuzzy XML models, Knowl-Based Syst, 42, pp. 20-39, (2013)

[6]

Ishizu S., Gehrmann A., Nagai Y., Inukai Y., Rough ontology: Extension of ontologies by rough sets, Lecture Notes in Comput. Sci, 4557, pp. 456-462, (2007)

[7]

Hong X., Study on the Semantic of SCORM Based on Knowledge Organization &Amp

[8]

Retrieval, (2006)

[9]

Guarino N., Masolo C., Vetere G., OntoSeek: Content-based access to the web, IEEE Intell. Syst, 14, pp. 70-80, (1999)

[10]

Kiryakov A., Popov B., Terziev I., Manov D., Ognyanoff D., Semantic annotation, indexing, and retrieval, J. Web Semantics, 2, pp. 45-79, (2005)

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