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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F11%3A10100154%21RIV13-GA0-11320___
rdf:type
n10:Vysledek skos:Concept
dcterms:description
Information extraction (IE) and automated semantic annotation of text are usually done by complex tools. These tools use some kind of a model that represents the actual task and its solution. The model is usually represented as a set of extraction rules (e.g., regular expressions), gazetteer lists, or it is based on some statistical measurements and probability assertions. In the environment of the Semantic Web it is essential that information is shareable and some ontology based IE tools keep the model in so called extraction ontologies. In practice, the extraction ontologies are usually strongly dependent on a particular extraction/annotation tool and cannot be used separately. In this paper, we present an extension of the idea of extraction ontologies. According to the presented concept the extraction ontologies should not be dependent on the particular extraction/annotation tool. In our solution the extraction/annotation process can be done separately by an ordinary reasoner. We also present ... Information extraction (IE) and automated semantic annotation of text are usually done by complex tools. These tools use some kind of a model that represents the actual task and its solution. The model is usually represented as a set of extraction rules (e.g., regular expressions), gazetteer lists, or it is based on some statistical measurements and probability assertions. In the environment of the Semantic Web it is essential that information is shareable and some ontology based IE tools keep the model in so called extraction ontologies. In practice, the extraction ontologies are usually strongly dependent on a particular extraction/annotation tool and cannot be used separately. In this paper, we present an extension of the idea of extraction ontologies. According to the presented concept the extraction ontologies should not be dependent on the particular extraction/annotation tool. In our solution the extraction/annotation process can be done separately by an ordinary reasoner. We also present ...
dcterms:title
Semantic Annotation Semantically: Using a Shareable Extraction Ontology and a Reasoner Semantic Annotation Semantically: Using a Shareable Extraction Ontology and a Reasoner
skos:prefLabel
Semantic Annotation Semantically: Using a Shareable Extraction Ontology and a Reasoner Semantic Annotation Semantically: Using a Shareable Extraction Ontology and a Reasoner
skos:notation
RIV/00216208:11320/11:10100154!RIV13-GA0-11320___
n10:predkladatel
n11:orjk%3A11320
n5:aktivita
n6:Z n6:S n6:P
n5:aktivity
P(GAP202/10/0761), P(GD201/09/H057), S, Z(MSM0021620838)
n5:dodaniDat
n18:2013
n5:domaciTvurceVysledku
n19:3953378 n19:3902188
n5:druhVysledku
n16:D
n5:duvernostUdaju
n22:S
n5:entitaPredkladatele
n15:predkladatel
n5:idSjednocenehoVysledku
228746
n5:idVysledku
RIV/00216208:11320/11:10100154
n5:jazykVysledku
n12:eng
n5:klicovaSlova
Semantic Annotation; Information Extraction; Reasoning; Extraction Ontology
n5:klicoveSlovo
n20:Extraction%20Ontology n20:Semantic%20Annotation n20:Reasoning n20:Information%20Extraction
n5:kontrolniKodProRIV
[F641D56FBDF4]
n5:mistoKonaniAkce
Lisbon, Portugal
n5:mistoVydani
Lisbon, Portugal
n5:nazevZdroje
The Fifth International Conference on Advances in Semantic Processing SEMAPRO 2011
n5:obor
n7:IN
n5:pocetDomacichTvurcuVysledku
2
n5:pocetTvurcuVysledku
2
n5:projekt
n17:GAP202%2F10%2F0761 n17:GD201%2F09%2FH057
n5:rokUplatneniVysledku
n18:2011
n5:tvurceVysledku
Vojtáš, Peter Dědek, Jan
n5:typAkce
n21:WRD
n5:zahajeniAkce
2011-11-20+01:00
n5:zamer
n9:MSM0021620838
s:numberOfPages
6
n14:hasPublisher
Xpert Publishing Services
n23:isbn
978-1-61208-175-5
n8:organizacniJednotka
11320