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Statements

Subject Item
n2:RIV%2F00216224%3A14330%2F06%3A00015339%21RIV10-AV0-14330___
rdf:type
skos:Concept n20:Vysledek
dcterms:description
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. 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.
dcterms:title
Text Mining for Semantic Relations as a Support Base of a Scientific Portal Generator Text Mining for Semantic Relations as a Support Base of a Scientific Portal Generator
skos:prefLabel
Text Mining for Semantic Relations as a Support Base of a Scientific Portal Generator Text Mining for Semantic Relations as a Support Base of a Scientific Portal Generator
skos:notation
RIV/00216224:14330/06:00015339!RIV10-AV0-14330___
n4:aktivita
n15:P n15:Z
n4:aktivity
P(1ET100300419), Z(MSM6383917201)
n4:dodaniDat
n10:2010
n4:domaciTvurceVysledku
n13:7142889 n13:4980190 n13:1574582
n4:druhVysledku
n8:D
n4:duvernostUdaju
n18:S
n4:entitaPredkladatele
n12:predkladatel
n4:idSjednocenehoVysledku
503642
n4:idVysledku
RIV/00216224:14330/06:00015339
n4:jazykVysledku
n9:eng
n4:klicovaSlova
Semantic Web; ontology acquisition; automatic generation of web portals
n4:klicoveSlovo
n5:Semantic%20Web n5:ontology%20acquisition n5:automatic%20generation%20of%20web%20portals
n4:kontrolniKodProRIV
[7C61FECEF753]
n4:mistoKonaniAkce
Genova, Italy
n4:mistoVydani
Paris
n4:nazevZdroje
Proceedings of LREC 2006 - 5th International Conference on Language Resources and Evaluation
n4:obor
n14:IN
n4:pocetDomacichTvurcuVysledku
3
n4:pocetTvurcuVysledku
3
n4:projekt
n16:1ET100300419
n4:rokUplatneniVysledku
n10:2006
n4:tvurceVysledku
Pomikálek, Jan Smrž, Pavel Nováček, Vít
n4:typAkce
n22:WRD
n4:zahajeniAkce
2006-01-01+01:00
n4:zamer
n21:MSM6383917201
s:numberOfPages
6
n6:hasPublisher
ELRA
n17:isbn
2-9517408-2-4
n7:organizacniJednotka
14330