CAP7: Searching and Browsing in Distributed Document Collections

  • Norbert Fuhr
  • Kai Großjohann
  • Stefan Kokkelink
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1923)


This paper describes CAP7, a system for searching and bro- wsing in distributed document (metadata) collections. The system ar- chitecture is similar to Harvest, comprising gatherer components and a retrieval engine; but instead of the limited SOIF data format, we use RDF and XML. The gatherer creates RDF metadata descriptions of collected resources. Before delivering the data to the retrieval engine, the RDF is transformed into valid XML. The query language supported by the retrieval engine is an extension of XQL with weighting and data types with vague predicates. The user interface provides for browsing as well as simple searching.


Resource Description Framework Query Language Vague Predicate Metadata Record Retrieval Engine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Norbert Fuhr
    • 1
  • Kai Großjohann
    • 1
  • Stefan Kokkelink
    • 2
  1. 1.University of DortmundDortmundGermany
  2. 2.University of OsnabrückOsnabrückGermany

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