Semantic Query Answering in Digital Libraries

  • Ilianna Kollia
  • Kostas Rapantzikos
  • Giorgos Stamou
  • Andreas Stafylopatis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7297)


A large activity for digitization, access and preservation of cultural heritage is taking place in Europe and the United States, which involves all types of cultural institutions, i.e., galleries, libraries, museums, archives and all types of cultural content. Semantic interoperability is a key issue in these developments. Content metadata constitute the main features of cultural items that are analysed and used to interpret users’ queries, so that the most appropriate content is presented to the users. This paper presents a new semantic search methodology, including a query answering mechanism which meets the semantics of users’ queries and enriches the answers by exploiting appropriate visual features, through an interweaved knowledge and machine learning based approach. An experimental study is presented, using content from the Europeana digital library, illustrating the improved performance of the proposed semantic search approach.


Cultural Heritage Digital Library Visual Word Resource Description Framework Description Logic 
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 2012

Authors and Affiliations

  • Ilianna Kollia
    • 1
  • Kostas Rapantzikos
    • 1
  • Giorgos Stamou
    • 1
  • Andreas Stafylopatis
    • 1
  1. 1.School of Electrical and Computer EngineeringNational Technical University of AthensAthensGreece

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