Semantic Annotation Semantically: Using a Shareable Extraction Ontology and a Reasoner

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F11%3A10100154" target="_blank" >RIV/00216208:11320/11:10100154 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Semantic Annotation Semantically: Using a Shareable Extraction Ontology and a Reasoner

Popis výsledku v původním jazyce

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 modelin 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 al

Název v anglickém jazyce

Semantic Annotation Semantically: Using a Shareable Extraction Ontology and a Reasoner

Popis výsledku anglicky

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 modelin 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 al

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

The Fifth International Conference on Advances in Semantic Processing SEMAPRO 2011

ISBN

978-1-61208-175-5

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

29-34

Název nakladatele

Xpert Publishing Services

Místo vydání

Lisbon, Portugal

Místo konání akce

Lisbon, Portugal

Datum konání akce

20. 11. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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