Advertisement

Use of Semantic Principles in a Collaborative System in Order to Support Effective Information Retrieval

  • František Babič
  • Karol Furdík
  • Ján Paralič
  • Peter Bednár
  • Jozef Wagner
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5796)

Abstract

This paper focuses on information retrieval aspects of a new application in domain of collaborative systems based on utilization of semantic principles for representation of different types of knowledge, collaborative objects and relations between them. Proposed collaborative system (within European IST project called KP-Lab) uses ontologies as common communication framework and exchange format for different types of end-user tools. Theoretical background is provided by innovative theoretical approach called Trialogical learning. Information retrieval in KP-Lab System is supported by designed and implemented text-mining and search services. These two sets of functionalities provide features for management of shared objects, described with content in textual format, as well as with semantic metadata.

Keywords

ontologies semantic metadata text mining semantic search collaborative system 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Alexaki, V., Christophides, G., Karvounarakis, D., Plexousakis, K.: Tolle: The ICS-FORTH RDFSuite: Managing Voluminous RDF Description Bases. In: Proc. of the 2nd International Workshop on the Semantic Web (SemWeb 2001), in conjunction with Tenth International World Wide Web Conference (WWW10), Hongkong, pp. 1–13 (2001)Google Scholar
  2. 2.
    Bednar, P., Butka, P., Paralic, J.: Java Library for Support of Text Mining and Retrieval. In: Proceedings of Znalosti 2005, Stará Lesná, Slovakia, pp. 162–169 (2005)Google Scholar
  3. 3.
    Hakkarainen, K., Paavola, S.: From monological and dialogical to trialogical approaches to learning. A paper at an international workshop Guided Construction of Knowledge in Classrooms, February 5-8. Hebrew University, Jerusalem (2007)Google Scholar
  4. 4.
    Ionescu, M., et al.: KP-Lab Platform Architecture Dosier. KP-Lab public deliverable D4.2.3 (November 2007)Google Scholar
  5. 5.
    Markkanen, H., et al.: M33 specification of end-user applications. KP-Lab public deliverable D6.6 (December 2008)Google Scholar
  6. 6.
    Markkanen, H., Holi, M.: Ontology-driven knowledge management and interoperability in trialogical learning applications. Article in the KP-Lab book (2008)Google Scholar
  7. 7.
    Nardi, B.A.: Activity Theory and Human-Computer Interaction in Context and Consciousness: Activity Theory and Human Computer Interaction. MIT Press, Cambridge (1996)Google Scholar
  8. 8.
    New Collaborative Working Environments 2020. Report on industry-led FP7 consultations and 3rd Report of the Experts Group on Collaboration@Work. European Commission, Information Society and Media (February 2006)Google Scholar
  9. 9.
  10. 10.
    Smrž, P., Paralič, J., Smatana, P., Furdík, K.: Text Mining Services for Trialogical Learning. In: Proc. of the 6th annual conference Znalosti 2007, Ostrava, Czech Republic, pp. 97-108 (2007) ISBN 978-80-248-1279-3Google Scholar
  11. 11.
    Solr search server specification, http://wiki.apache.org/solr/

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • František Babič
    • 1
  • Karol Furdík
    • 1
  • Ján Paralič
    • 1
  • Peter Bednár
    • 1
  • Jozef Wagner
    • 1
  1. 1.Centre for Information TechnologiesTechnical University of KošiceKošiceSlovakia

Personalised recommendations