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Web Content Mining for Information on Information Scientists

  • This paper presents a search system for information on scientists which was implemented prototypically for the area of information science, employing Web Content Mining techniques. The sources that are used in the implemented approach are online publication services and personal homepages of scientists. The system contains wrappers for querying the publication services and information extraction from their result pages, as well as methods for information extraction from homepages, which are based on heuristics concerning structure and composition of the pages. Moreover a specialised search technique for searching for personal homepages of information scientists was developed.

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Metadaten
Author:Sarah Risse
URN:https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-580
Document Type:Conference Proceeding
Language:English
Date of Publication (online):2011/04/28
Release Date:2011/04/28
Source:Workshop Information Retrieval 2006 of the Special Interest Group Information Retrieval
PPN:Link zum Katalog
Contributor:Althoff, Klaus-Dieter
Institutes:Fachbereich IV / Informatik
DDC classes:000 Allgemeines, Informatik, Informationswissenschaft / 000 Allgemeines, Wissenschaft / 004 Informatik
Licence (German):License LogoDeutsches Urheberrecht