About: Linguistic extraction for semantic annotation     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
  • Lingvistická extrakce pro semantickou anotaci, [http://www.springerlink.com/content/w7213j007t416132] (cs)
  • 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. (en)
Title
  • Linguistic extraction for semantic annotation
  • Linguistic extraction for semantic annotation (en)
  • Lingvistická extrakce pro semantickou anotaci (cs)
skos:prefLabel
  • Linguistic extraction for semantic annotation
  • Linguistic extraction for semantic annotation (en)
  • Lingvistická extrakce pro semantickou anotaci (cs)
skos:notation
  • RIV/00216208:11320/08:00101308!RIV09-AV0-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET100300419), P(1ET100300517), Z(MSM0021620838)
http://linked.open...iv/cisloPeriodika
  • Neuveden
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
  • 376864
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/08:00101308
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Linguistic; extraction; semantic; annotation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV
  • [A487BCF8500E]
http://linked.open...i/riv/nazevZdroje
  • Studies in Computational Intelligence
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...v/svazekPeriodika
  • 162
http://linked.open...iv/tvurceVysledku
  • Vojtáš, Peter
  • Dědek, Jan
http://linked.open...ain/vavai/riv/wos
  • 000262163700009
http://linked.open...n/vavai/riv/zamer
issn
  • 1860-949X
number of pages
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