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Description
  • In this article, we would like to introduce our approach to cluster labeling with Linked Data. Clustering web pages into semantically related groups promises better performance in searching the Web. Nowadays, only special semantic search engines provide clustering of results. Other engines are doubtful as far as the quality of clusters and moreover a dependable system for labeling these clusters is lacking. Linked Data is a set of principles for publishing structured data in a machine readable way with regards to linking with other Web resources. This enables data from different sources to be connected and queried over the Internet. The information from Linked Data can be used for preliminary estimates of topics covered by a set of documents. Topics are represented as resources from Linked Data and are used for smooth humanreadable labeling of clusters.
  • In this article, we would like to introduce our approach to cluster labeling with Linked Data. Clustering web pages into semantically related groups promises better performance in searching the Web. Nowadays, only special semantic search engines provide clustering of results. Other engines are doubtful as far as the quality of clusters and moreover a dependable system for labeling these clusters is lacking. Linked Data is a set of principles for publishing structured data in a machine readable way with regards to linking with other Web resources. This enables data from different sources to be connected and queried over the Internet. The information from Linked Data can be used for preliminary estimates of topics covered by a set of documents. Topics are represented as resources from Linked Data and are used for smooth humanreadable labeling of clusters. (en)
Title
  • Cluster labeling with linked data
  • Cluster labeling with linked data (en)
skos:prefLabel
  • Cluster labeling with linked data
  • Cluster labeling with linked data (en)
skos:notation
  • RIV/49777513:23520/13:43919204!RIV14-MSM-23520___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0090), P(GAP103/11/1489), S
http://linked.open...iv/cisloPeriodika
  • 3
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
  • 65762
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/13:43919204
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Semantic web; Clustering; Linked Data; Cluster labeling (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • PK - Pákistánská islámská republika
http://linked.open...ontrolniKodProRIV
  • [A9EE5FE4C284]
http://linked.open...i/riv/nazevZdroje
  • Journal of Theoretical and Applied Informatrion Technology
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
  • 53
http://linked.open...iv/tvurceVysledku
  • Dostal, Martin
  • Ježek, Karel
  • Nykl, Michal
issn
  • 1992-8645
number of pages
http://localhost/t...ganizacniJednotka
  • 23520
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