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Importance of HTML structural elements and metadata in automated subject classification

Författare:
Publiceringsår: 2005
Språk: Engelska
Sidor: 368-378
Publikation/Tidskrift/Serie: Research and advanced technology for digital libraries / Lecture Notes in Computer Science
Volym: 3652
Dokumenttyp: Konferensbidrag
Förlag: Springer

Sammanfattning

The aim of the study was to determine how significance indicators assigned to different Web page elements (internal metadata, title, headings, and main text) influence automated classification. The data collection that was used comprised 1000 Web pages in engineering, to which Engineering Information classes had been manually assigned. The significance indicators were derived using several different methods: (total and partial) precision and recall, semantic distance and multiple regression. It was shown that for best results all the elements have to be included in the classification process. The exact way of combining the significance indicators turned out not to be overly important: using the F1 measure, the best combination of significance indicators yielded no more than 3% higher performance results than the baseline.

Disputation

Nyckelord

  • Technology and Engineering

Övrigt

9th European Conference, ECDL 2005
2005-09-18/2005-09-23
Vienna, Austria
Published
Yes
  • ISSN: 0302-9743
  • ISBN: 3-540-28767-1
  • doi:10.1007/3-540-45747-X

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