Abstract
This paper is devoted to information retrieval and fine search organization on the Internet. The presented approach is based on model-theoretical formalization of a subject domain ontology.
The formal measures of information retrieval effectiveness are studied. The central problem of our consideration is the problem of pertinence of information retrieval. To contribute to the solution of this problem, we present an approach which is called the Virtual Catalog. This approach is a synthesis of search engines and Internet catalogs.
The development of the Virtual Catalog is based on subject domain ontologies. Ontologies are formalized in model-theoretical terms. We develop methods of ontology representation as a network of sentences of first-order predicate logic. We use three types of ontology to solve the problem of pertinence of information retrieval: ontology of the subject domain which is relevant to the desired information; ontology of the Internet which describes various types of Internet resources; and ontology of user needs and types of information search tasks. With the help of the subject domain ontology, we specify the user’s field of interest. The user needs ontology helps us to specify what kind of information the user wants. The Internet ontology gives the possibility to determine the desired type of Internet resource. Our approach is applied to develop Virtual Catalogs for two fields: mathematics and information security. We present technologies for constructing ontologies for these fields and technologies for fine search organization on the Internet.
Supported by RFBR grant N 05-01-04003-NNIO-a (DFG project COMO, GZ: 436 RUS 113/829/0-1) and by the Federal Agency for Science and Innovations of the Russian Federation, the State contract N P-1008.
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Palchunov, D.E. (2011). Virtual Catalog: The Ontology-Based Technology for Information Retrieval. In: Wolff, K.E., Palchunov, D.E., Zagoruiko, N.G., Andelfinger, U. (eds) Knowledge Processing and Data Analysis. KPP KONT 2007 2007. Lecture Notes in Computer Science(), vol 6581. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22140-8_11
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