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Description
  • Semantic computing aims to connect the intention of humans with computational content. We present a study of a problem of this type: extract information from large number of similar linguistic web resources to compute various aggregations (sum, average,...). In our motivating example we calculate the sum of injured people in traffic accidents in a certain period in a certain region. We restrict ourselves to pages written in Czech language. Our solution exploits existing linguistic tools created originally for a syntactically annotated corpus, Prague Dependency Treebank (PDT 2.0). We propose a solutions which learns tree queries to extract data from PDT2.0 annotations and transforms the data in an ontology. This method is not limited to Czech language and can be used with any structured linguistic representation. We present a proof of concept of our method. This enables to compute various aggregations over linguistic web resources.
  • Semantic computing aims to connect the intention of humans with computational content. We present a study of a problem of this type: extract information from large number of similar linguistic web resources to compute various aggregations (sum, average,...). In our motivating example we calculate the sum of injured people in traffic accidents in a certain period in a certain region. We restrict ourselves to pages written in Czech language. Our solution exploits existing linguistic tools created originally for a syntactically annotated corpus, Prague Dependency Treebank (PDT 2.0). We propose a solutions which learns tree queries to extract data from PDT2.0 annotations and transforms the data in an ontology. This method is not limited to Czech language and can be used with any structured linguistic representation. We present a proof of concept of our method. This enables to compute various aggregations over linguistic web resources. (en)
Title
  • Computing Aggregations from Linguistic Web Resources: A Case Study in Czech Republic Sector/Traffic Accidents
  • Computing Aggregations from Linguistic Web Resources: A Case Study in Czech Republic Sector/Traffic Accidents (en)
skos:prefLabel
  • Computing Aggregations from Linguistic Web Resources: A Case Study in Czech Republic Sector/Traffic Accidents
  • Computing Aggregations from Linguistic Web Resources: A Case Study in Czech Republic Sector/Traffic Accidents (en)
skos:notation
  • RIV/67985807:_____/08:00329153!RIV10-AV0-67985807
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET100300419), P(1ET100300517), Z(AV0Z10300504), 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
  • 360918
http://linked.open...ai/riv/idVysledku
  • RIV/67985807:_____/08:00329153
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • semantic information extraction; linguistics; semantic computing; aggregation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [9AFA65F6EA09]
http://linked.open...v/mistoKonaniAkce
  • Valencia
http://linked.open...i/riv/mistoVydani
  • Los Alamitos
http://linked.open...i/riv/nazevZdroje
  • ADVCOMP 2008
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, J.
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
  • IEEE Computer Society
https://schema.org/isbn
  • 978-0-7695-3369-8
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