Journals Information
Computer Science and Information Technology Vol. 1(1), pp. 19 - 32
DOI: 10.13189/csit.2013.010103
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Conceptual Database Retrieval through Multilingual Thesauri
E. Petraki, C. Kapetis, E. J. Yannakoudakis*
Athens University of Economics & Business Department of Informatics, Athens 10434, Greece
ABSTRACT
In traditional database management systems, information retrieval is often carried out using keywords contained within fields of each record. Because a term (concept) can be expressed in several ways, a significant number of records are ignored by the free text techniques which use only a posteriori relations between terms. This paper proposes the utilisation of a priori conceptual relations between terms that exist independently of any documents through a controlled vocabulary known as thesaurus, which incorporates both terms and the conceptual relations among them. The paper discusses the integration of multilingual thesauri in the set-theoretic FDB (Frame DataBase) data model, which offers by default a universal schema for all applications. All changes to the structure of the logical-level database schema can be carried out by modifying the appropriate metadata. The purpose of this extension is for the database user to be able to apply queries on a database using information through multilingual thesauri. This approach extends the FDB model so that users can apply queries to the database using both a priori and a posteriori relationships. Apart from free text retrieval and "conceptual searching" the proposed structure enables multilingual searching independently of the language used to store data itself.
KEYWORDS
Multilingual Thesaurus, Databases, Information Retrieval, Universal Schema, Conceptual Retrieval
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] E. Petraki , C. Kapetis , E. J. Yannakoudakis , "Conceptual Database Retrieval through Multilingual Thesauri," Computer Science and Information Technology, Vol. 1, No. 1, pp. 19 - 32, 2013. DOI: 10.13189/csit.2013.010103.
(b). APA Format:
E. Petraki , C. Kapetis , E. J. Yannakoudakis (2013). Conceptual Database Retrieval through Multilingual Thesauri. Computer Science and Information Technology, 1(1), 19 - 32. DOI: 10.13189/csit.2013.010103.