OMEGA-PSIR : from the Repository to the Research Knowledge Base Experience of Warsaw University of Technology

• Autorzy: Henryk Rybiński , Jakub Koperwas , Łukasz Skonieczny , Marek Kozłowski , Wacław Struk
• Języki publikacji: EN

Abstrakty

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. (original abstract)

Słowa kluczowe

EN

Library collections; Digital technologies; Knowledge; Scientific research

PL

Zbiory biblioteczne; Technologie cyfrowe; Wiedza; Badania naukowe

• Czasopismo: Foundations of Management
• Rocznik: 2013
• Tom: 5
• Numer: nr 1
• Strony: 53--68

Twórcy

autor

Henryk Rybiński

• Warsaw University of Technology, Warsaw, Poland

autor

Jakub Koperwas

• Warsaw University of Technology, Warsaw, Poland

autor

Łukasz Skonieczny

• Warsaw University of Technology, Warsaw, Poland

autor

Marek Kozłowski

• Warsaw University of Technology, Warsaw, Poland

autor

Wacław Struk

• Warsaw University of Technology, Warsaw, Poland

Bibliografia

• Apache Jackrabbit, Getting Started with Apache Jackrabbit, The Apache Software Foundation, http://jackrabbit.apache.org/getting-started-with-apachejackrabbit.html
• 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.
• 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.
• Gabrilowich E., Markovitch S. - Overcoming the brittleness bottleneck using Wikipedia: Enhancing text categorization with encyclopedic knowledge, AAAI, 2006.
• Gabrilowich E., Markovitch S. - Wikipedia-based semantic interpretation for natural language processing. Journal of Artificial Intelligence Research, vol. 34, (443-498), 2009.
• Lucene, Welcome to Lucene, The Apache Software Foundation, http://lucene.apache.org/
• Medelyan O., Milne D., Legg C., and Witten Ian H. - Mining meaning from Wikipedia. Int. J. Hum. Comput. Stud., 67(9): 716-754, 2009.
• Medelyan O. - Human-competitive automatic topic indexing, PhD Thesis. University of Waikato. 2009.
• Milne D., Medelyan O., Witten I.H. - Mining domain specific thesauri from Wikipedia: A case study [in] Proc. IEEE/WIC/ACM International Conference on Web Intelligence, Hong Kong, China, 2006, pp. 442-448.
• 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.
• Open Archives Initiative Protocol for Metadata Harvesting, http://www.openarchives.org/pmh/
• Ontology of Scientific Journal, Classification of Scientific Journals, http://www.science-metrix.com/eng/tools.htm
• OMEGA-PSIR Administrator Manual (Podręcznik Administratorów), SYNAT, Politechnika Warszawska, 2013 (in Polish).
• Zotero, http://www.zotero.org/

Identyfikatory

DOI

10.2478/fman-2014-0006