Detailed Information on Publication Record
2006
Text Mining for Semantic Relations as a Support Base of a Scientific Portal Generator
NOVÁČEK, Vít, Pavel SMRŽ and Jan POMIKÁLEKBasic information
Original name
Text Mining for Semantic Relations as a Support Base of a Scientific Portal Generator
Name in Czech
Dolovani semantickych relaci v textu v ramci podpory generatoru vedeckych portalu
Authors
NOVÁČEK, Vít (203 Czech Republic, guarantor), Pavel SMRŽ (203 Czech Republic) and Jan POMIKÁLEK (203 Czech Republic)
Edition
Paris, Proceedings of LREC 2006 - 5th International Conference on Language Resources and Evaluation, p. 1338-1343, 6 pp. 2006
Publisher
ELRA
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
RIV identification code
RIV/00216224:14330/06:00015339
Organization unit
Faculty of Informatics
ISBN
2-9517408-2-4
Keywords in English
Semantic Web; ontology acquisition; automatic generation of web portals
Tags
International impact, Reviewed
Změněno: 21/11/2006 12:24, doc. Mgr. Bc. Vít Nováček, PhD
V originále
Current Semantic Web implementation efforts pose a number of challenges. One of the big ones among them is development and evolution of specific resources --- the ontologies --- as a base for representation of the meaning of the web. This paper deals with the automatic acquisition of semantic relations from the text of scientific publications (journal articles, conference papers, project descriptions, etc.). We also describe the process of building of corresponding ontological resources and their application for semi--automatic generation of scientific portals. Extracted relations and ontologies are crucial for the structuring of the information at the portal pages, automatic classification of the presented documents as well as for personalisation at the presentation level. Besides a general description of the portal generating system, we give also a detailed overview of extraction of semantic relations in the form of a domain--specific ontology. The overview consists of presentation of an architecture of the ontology extraction system, description of methods used for mining of semantic relations and analysis of selected results and examples.
In Czech
Clanek se zabyva popisem dolovani semantickych relaci z textu, ktere je mozne vyuzit pro tvorbu komplexnich domenovych bazi znalosti - ontologii - a nasledne take napriklad pro automatizovanou tvorbu vedeckych portalu.
Links
1ET100300419, research and development project |
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