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@inproceedings{636325,
author = {Nováček, Vít and Smrž, Pavel and Pomikálek, Jan},
address = {Paris},
booktitle = {Proceedings of LREC 2006 - 5th International Conference on Language Resources and Evaluation},
keywords = {Semantic Web; ontology acquisition; automatic generation of web portals},
language = {eng},
location = {Paris},
isbn = {2-9517408-2-4},
pages = {1338-1343},
publisher = {ELRA},
title = {Text Mining for Semantic Relations as a Support Base of a Scientific Portal Generator},
url = {http://nlp.fi.muni.cz/projects/ole/pubs.html},
year = {2006}
}
TY - JOUR
ID - 636325
AU - Nováček, Vít - Smrž, Pavel - Pomikálek, Jan
PY - 2006
TI - Text Mining for Semantic Relations as a Support Base of a Scientific Portal Generator
PB - ELRA
CY - Paris
SN - 2951740824
KW - Semantic Web
KW - ontology acquisition
KW - automatic generation of web portals
UR - http://nlp.fi.muni.cz/projects/ole/pubs.html
N2 - 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.
ER -
NOVÁČEK, Vít, Pavel SMRŽ a Jan POMIKÁLEK. Text Mining for Semantic Relations as a Support Base of a Scientific Portal Generator. In \textit{Proceedings of LREC 2006 - 5th International Conference on Language Resources and Evaluation}. Paris: ELRA, 2006, s.~1338-1343. ISBN~2-9517408-2-4.
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