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Authors: Zhomartkyzy Gulnaz 1 ; Milosz Marek 2 and Balova Tatiana 1

Affiliations: 1 D. Serikbayev East Kazakhstan State Technical University, Kazakhstan ; 2 Lublin University of Technology, Poland

Keyword(s): Knowledge Management System, Ontology, Semantic Search, Terminological Collocations, Collocations.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Data Engineering ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge Management ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Society, e-Business and e-Government ; Symbolic Systems ; Web Information Systems and Technologies

Abstract: This article deals with some issues of modern approaches to word processing in knowledge management systems. The method of documents’ profiles formation based on scientific knowledge ontology model which provides the semantic processing and retrieval of information is proposed. The article describes the main stages of the university's information resources word processing to form a semantic document profile: the extraction of terminological collocations, the automatic classification of texts on scientific topics, the formation of a document’s semantic profile.

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Paper citation in several formats:
Gulnaz, Z. ; Marek, M. and Tatiana, B. (2014). University’s Scientific Resources Processing in Knowledge Management Systems. In Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-028-4; ISSN 2184-4992, SciTePress, pages 225-232. DOI: 10.5220/0004886802250232

@conference{iceis14,
author={Zhomartkyzy Gulnaz and Milosz Marek and Balova Tatiana},
title={University’s Scientific Resources Processing in Knowledge Management Systems},
booktitle={Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2014},
pages={225-232},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004886802250232},
isbn={978-989-758-028-4},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - University’s Scientific Resources Processing in Knowledge Management Systems
SN - 978-989-758-028-4
IS - 2184-4992
AU - Gulnaz, Z.
AU - Marek, M.
AU - Tatiana, B.
PY - 2014
SP - 225
EP - 232
DO - 10.5220/0004886802250232
PB - SciTePress

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