Bibliographical meta search engine for the retrieval of scientific articles

  • Authors:
  • Artur Gajek;Stefan Klink;Patrick Reuther;Bernd Walter;Alexander Weber

  • Affiliations:
  • Department for Databases and Information Systems, University of Trier, Germany;Institute of Applied Informatics and Formal Description Methods, Universität Karlsruhe (TH), Germany;Department for Databases and Information Systems, University of Trier, Germany;Department for Databases and Information Systems, University of Trier, Germany;Department for Databases and Information Systems, University of Trier, Germany

  • Venue:
  • ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

The University of Trier maintains the DBLP (Digital Bibliography & Library Project) Computer Science Bibliography which offers bibliographic information about more than 870.000 scientific publications. This paper describes the DBLP WebCrawler, a meta search engine that is able to search for full text publications in PDF format for each DBLP entry on the web. Various search engines such as Google and Yahoo are used as data sources. The retrieved documents are additionally analysed and ranked according to their relevance. The proposed system differs from systems like CiteSeer in so far, that the DBLP Webcrawler builds upon metadata and tries to find relevant full-texts whereas Cite-Seer mainly starts with full-texts and extracts metadata.