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 relations between terms that exist independently of any documents through a controlled vocabulary known as thesaurus, which incorporates both terms and the 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 the proposed structure enables multilingual searching independently of the language used to store data itself.
Highlights
In a traditional RDBMS users apply queries to the database via query languages like SQL
We suggest that queries containing keywords in more than one language can be structured using the information provided by a multilingual thesaurus, which is part of the database itself. g) The proposed model presents an integrated environment that provides a universal schema which allows the definition of any multilingual database and offers the ability to utilize one or more multilingual thesauri
The extended FDB model is an integrated system which allows the definition of any multilingual database and offers the ability to utilize one or more multilingual thesauri
Summary
In a traditional RDBMS users apply queries to the database via query languages like SQL. This technique requires users to have knowledge of the database schema and use a query language to search information; this search model is complicated for most ordinary users [10]. Search techniques through keywords use ranking mechanisms in order to rank more or less relevant (to the keywords) answers. This type of utility is missing from most database management systems today while all the tuples retrieved have the same significance. There is a number of research and commercial systems that support keyword search and browsing in relational and semi-structured databases, such as DataSpot, EasyAsk, DISCOVER, BAKNS etc [11], [12 ]
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