NOVÁČEK, Vít and Pavel SMRŽ. Ontology Acquisition for Automatic Building of Scientific Portals. In Lecture Notes in Computer Science 3831. Berlin: Springer, 2006, p. 493-500. ISBN 3-540-31198-X.
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Basic information
Original name Ontology Acquisition for Automatic Building of Scientific Portals
Name in Czech Ziskavani ontologii pro automaticke budovani vedeckych portalu
Authors NOVÁČEK, Vít (203 Czech Republic, guarantor) and Pavel SMRŽ (203 Czech Republic).
Edition Berlin, Lecture Notes in Computer Science 3831, p. 493-500, 8 pp. 2006.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/00216224:14330/06:00015285
Organization unit Faculty of Informatics
ISBN 3-540-31198-X
UT WoS 000235805500047
Keywords in English text mining; semantic web; knowledge extraction; automatic ontology acquisition
Tags automatic ontology acquisition, knowledge extraction, semantic web, text mining
Tags International impact, Reviewed
Changed by Changed by: doc. Mgr. Bc. Vít Nováček, PhD, učo 4049. Changed: 21/11/2006 12:23.
Abstract
Ontologies are commonly considered as one of the essential parts of the Semantic Web vision, providing a theoretical basis and implementation framework for conceptual integration and information sharing among various domains. In this paper, we present the main principles of a new ontology acquisition framework applied for semi-automatic generation of scientific portals. Extracted ontological relations play a crucial role in the structuring of the information at the portal pages, automatic classification of the presented documents as well as for personalisation at the presentation level.
Abstract (in Czech)
Prezentace charakteru a vyuziti automatickeho ziskavani ontologii v oblasti semantickeho webu, jmenovite semi-automatickeho vytvareni vedeckych portalu.
Links
1ET100300419, research and development projectName: Inteligentní modely, algoritmy, metody a nástroje pro vytváření sémantického webu
Investor: Academy of Sciences of the Czech Republic, Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization)
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