About: Semantic Annotation Semantically: Using a Shareable Extraction Ontology and a Reasoner     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
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 ... (en)
Title
  • Semantic Annotation Semantically: Using a Shareable Extraction Ontology and a Reasoner
  • Semantic Annotation Semantically: Using a Shareable Extraction Ontology and a Reasoner (en)
skos:prefLabel
  • Semantic Annotation Semantically: Using a Shareable Extraction Ontology and a Reasoner
  • Semantic Annotation Semantically: Using a Shareable Extraction Ontology and a Reasoner (en)
skos:notation
  • RIV/00216208:11320/11:10100154!RIV13-GA0-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP202/10/0761), P(GD201/09/H057), S, Z(MSM0021620838)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 228746
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/11:10100154
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Semantic Annotation; Information Extraction; Reasoning; Extraction Ontology (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F641D56FBDF4]
http://linked.open...v/mistoKonaniAkce
  • Lisbon, Portugal
http://linked.open...i/riv/mistoVydani
  • Lisbon, Portugal
http://linked.open...i/riv/nazevZdroje
  • The Fifth International Conference on Advances in Semantic Processing SEMAPRO 2011
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Vojtáš, Peter
  • Dědek, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Xpert Publishing Services
https://schema.org/isbn
  • 978-1-61208-175-5
http://localhost/t...ganizacniJednotka
  • 11320
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 77 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software