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

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Description
  • This paper focuses on mining in short reports that describe a situation in a given area and actions performed as reaction to that situation. Such texts are frequent in crisis management in situations like earthquake, fire or flood. For further analysis it is necessary to filter the relevant pieces of text. We found that common machine learning algo rithms fail for filtering such sentences. We describe a novel method based on inductive logic programming which yields in high precision and recall. This method has been successfully used for analysis of reports on flood in Central Europe in 2002. We also discuss different domain knowledge and also various natural language processing tools that we used for preprocessing the documents.
  • This paper focuses on mining in short reports that describe a situation in a given area and actions performed as reaction to that situation. Such texts are frequent in crisis management in situations like earthquake, fire or flood. For further analysis it is necessary to filter the relevant pieces of text. We found that common machine learning algo rithms fail for filtering such sentences. We describe a novel method based on inductive logic programming which yields in high precision and recall. This method has been successfully used for analysis of reports on flood in Central Europe in 2002. We also discuss different domain knowledge and also various natural language processing tools that we used for preprocessing the documents. (en)
Title
  • Mining actions from reports on flood
  • Mining actions from reports on flood (en)
skos:prefLabel
  • Mining actions from reports on flood
  • Mining actions from reports on flood (en)
skos:notation
  • RIV/00216224:14330/06:00018058!RIV10-MSM-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM0021622418)
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
  • 485915
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/06:00018058
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • text filtering; information extraction; term extraction (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [61F31F487671]
http://linked.open...v/mistoKonaniAkce
  • Ljubljana, Slovenia
http://linked.open...i/riv/mistoVydani
  • Ljubljana
http://linked.open...i/riv/nazevZdroje
  • Proceedings of IS-LTC'06
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Popelínský, Lubomír
  • Blaťák, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 1581-9973
number of pages
http://purl.org/ne...btex#hasPublisher
  • Jožef Stefan Institute
http://localhost/t...ganizacniJednotka
  • 14330
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