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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F08%3A00101308%21RIV09-AV0-11320___
rdf:type
n18:Vysledek skos:Concept
dcterms:description
Lingvistická extrakce pro semantickou anotaci, [http://www.springerlink.com/content/w7213j007t416132] Bottleneck for semantic web services is lack of semantically annotated information. We deal with linguistic information extraction from Czech texts from the Web for semantic annotation. The method described in the paper exploits existing linguistic tools created originally for a syntactically annotated corpus, Prague Dependency Treebank (PDT 2.0).We propose a system which captures text of web-pages, annotates it linguistically by PDT tools, extracts data and stores the data in an ontology.We focus on the third phase – data extraction – and present methods for learning queries over linguistically annotated data. Our experiments in the domain of reports of tra?c accidents enable e.g. summarization of the number of injured people. This serves as a proof of concept of our solution. More experiments, for different queries and different domain are planned in the future. This will improve third party semantic annotation of web resources. Bottleneck for semantic web services is lack of semantically annotated information. We deal with linguistic information extraction from Czech texts from the Web for semantic annotation. The method described in the paper exploits existing linguistic tools created originally for a syntactically annotated corpus, Prague Dependency Treebank (PDT 2.0).We propose a system which captures text of web-pages, annotates it linguistically by PDT tools, extracts data and stores the data in an ontology.We focus on the third phase – data extraction – and present methods for learning queries over linguistically annotated data. Our experiments in the domain of reports of tra?c accidents enable e.g. summarization of the number of injured people. This serves as a proof of concept of our solution. More experiments, for different queries and different domain are planned in the future. This will improve third party semantic annotation of web resources.
dcterms:title
Lingvistická extrakce pro semantickou anotaci Linguistic extraction for semantic annotation Linguistic extraction for semantic annotation
skos:prefLabel
Linguistic extraction for semantic annotation Linguistic extraction for semantic annotation Lingvistická extrakce pro semantickou anotaci
skos:notation
RIV/00216208:11320/08:00101308!RIV09-AV0-11320___
n3:aktivita
n9:P n9:Z
n3:aktivity
P(1ET100300419), P(1ET100300517), Z(MSM0021620838)
n3:cisloPeriodika
Neuveden
n3:dodaniDat
n15:2009
n3:domaciTvurceVysledku
n13:3902188 n13:3953378
n3:druhVysledku
n8:J
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
376864
n3:idVysledku
RIV/00216208:11320/08:00101308
n3:jazykVysledku
n7:eng
n3:klicovaSlova
Linguistic; extraction; semantic; annotation
n3:klicoveSlovo
n6:annotation n6:Linguistic n6:semantic n6:extraction
n3:kodStatuVydavatele
DE - Spolková republika Německo
n3:kontrolniKodProRIV
[A487BCF8500E]
n3:nazevZdroje
Studies in Computational Intelligence
n3:obor
n14:JC
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n12:1ET100300517 n12:1ET100300419
n3:rokUplatneniVysledku
n15:2008
n3:svazekPeriodika
162
n3:tvurceVysledku
Dědek, Jan Vojtáš, Peter
n3:wos
000262163700009
n3:zamer
n19:MSM0021620838
s:issn
1860-949X
s:numberOfPages
10
n10:organizacniJednotka
11320