Semi-structured Data Information Retrieval Using Ontologies

  • Vladimir Smatanik Institute of Information and Communication Technologies University of ˇZilina, ˇZilina, Slovakia
  • Karol Matiasko Institute of Information and Communication Technologies University of ˇZilina, ˇZilina, Slovakia

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.

Published
2015-06-05
How to Cite
SMATANIK, Vladimir; MATIASKO, Karol. Semi-structured Data Information Retrieval Using Ontologies. Polish Journal of Applied Sciences, [S.l.], v. 1, n. 1, p. 20-22, june 2015. ISSN 2451-1544. Available at: <https://pjas.ansl.edu.pl/index.php/pjas/article/view/16>. Date accessed: 03 apr. 2025.
Citation Formats
Issue
Vol 1 No 1 (2015)
Section
Applied Engineering, Computer and Natural Sciences

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