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2013 | 5 | 1 | 53-68

Article title

Omega-Psir: From the Repository to the Research Knowledge Base Experience of Warsaw University of Technology

Title variants

Languages of publication

EN

Abstracts

EN
This paper is devoted to a solution for building a research knowledge base for the university. An experience in developing a specialised software for building such a knowledge base is presented. We present the functionality of the system, as well as, sketch applied AI technologies aiming at providing features attractive for the system beneficiaries. It is shown that although a classical repository is the main part of the system, the essential value of the solution is in providing analytical tools for the ‘research management’. First lessons learned from deploying the software at Warsaw University of Technology are also discussed. The platform has been developed under the SYNAT project, aimed at building nation-wide scientific information infrastructure

Publisher

Year

Volume

5

Issue

1

Pages

53-68

Physical description

Dates

published
2013-06-01
online
2014-08-15

Contributors

  • Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland
  • Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland
  • Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland
  • Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland
  • Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland

References

  • [1] Apache Jackrabbit, Getting Started with Apache Jackrabbit, The Apache Software Foundation, http://jackrabbit.apache.org/getting-started-with-apachejackrabbit. html
  • [2] Bembenik R., Skonieczny Ł., Rybiński H., Niezgódka M. (eds.) - Intelligent Tools for Building a Scientific Information Platform. Studies in Computational Intelligence, vol. 390, 2012, Springer,
  • [3] Bembenik Robert, Skonieczny Łukasz, Rybiński Henryk, Kryszkiewicz Marzena, Niezgódka Marek (eds.) - Intelligent Tools for Building a Scientific Information Platform: Advanced Architectures and Solutions. Studies in Computational Intelligence, vol. 467, 2013, 548 p.
  • [4] Gabrilowich E., Markovitch S. - Overcoming the brittleness bottleneck using Wikipedia: Enhancing text categorization with encyclopedic knowledge, AAAI, 2006.
  • [5] Gabrilowich E., Markovitch S. - Wikipedia-based semantic interpretation for natural language processing. Journal of Artificial Intelligence Research, vol. 34, (443-498), 2009.
  • [6] Lucene, Welcome to Lucene, The Apache Software Foundation, http://lucene.apache.org/
  • [7] Medelyan O., Milne D., Legg C., and Witten Ian H. - Mining meaning from Wikipedia. Int. J. Hum. Comput. Stud., 67(9): 716-754, 2009.
  • [8] Medelyan O. - Human-competitive automatic topic indexing, PhD Thesis. University of Waikato. 2009.
  • [9] Milne D., Medelyan O., Witten I.H. - Mining domainspecific thesauri from Wikipedia: A case study [in] Proc. IEEE/WIC/ACM International Conference on Web Intelligence, Hong Kong, China, 2006, pp. 442-448.
  • [10] Milne D., Witten I.H. - An effective, low-cost measure of semantic relatedness obtained from Wikipedia links [in] Wikipedia and Artificial Intelligence: An Evolving Synergy, Chicago, IL, 2008, pp. 25-30.
  • [11] Open Archives Initiative Protocol for Metadata Harvesting, http://www.openarchives.org/pmh/
  • [12] Ontology of Scientific Journal, Classification of Scientific Journals, http://www.science-metrix.com/eng/tools.htm
  • [13] OMEGA-PSIR Administrator Manual (Podręcznik Administratorów), SYNAT, Politechnika Warszawska, 2013 (in Polish).
  • [14] Zotero, http://www.zotero.org/

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.doi-10_2478_fman-2014-0006
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