KOIOS: Utilizing Semantic Search for Easy-Access and Visualization of Structured Environmental Data

  • Veli Bicer
  • Thanh Tran
  • Andreas Abecker
  • Radoslav Nedkov
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7032)


With the increasing interest in environmental issues, the amount of publicly available environmental data on the Web is continuously growing. Despite its importance, the uptake of environmental information by the ordinary Web users is still very limited due to intransparent access to complex and distributed databases. As a remedy to this problem, in this work, we propose the use of semantic search technologies recently developed as an intuitive way to easily access structured data and lower the barriers to obtain information satisfying user information needs. Our proposed system, namely KOIOS, enables a simple, keyword-based search on structured environmental data and built on top of a commercial Environmental Information System (EIS). A prototype system successfully shows that applying semantic search techniques this way provides intuitive means for search and access to complex environmental information.


Keyword Search Keyword Query Structure Query Query Graph Schema Graph 
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 2011

Authors and Affiliations

  • Veli Bicer
    • 1
  • Thanh Tran
    • 2
  • Andreas Abecker
    • 3
  • Radoslav Nedkov
    • 3
  1. 1.FZI Forschungszentrum InformatikKarlsruheGermany
  2. 2.Institute AIFBKarlsruheGermany
  3. 3.disy Informationssysteme GmbHKarlsruheGermany

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