Semi-structured Data Information Retrieval Using Ontologies
Abstract
Vast amounts of data are being stored on many servers, in databases, files or different structures. The capability of storing everything, however, does not provide good results from queries and information retrieval [1]. Data organized differently require specific approaches to allow more sophisticated information retrieval. One of the interesting ways of storing the data is ontology. This article suggests an ontology structure for storing some of semi-structured data types.
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