Abstract
This paper is devoted to the 3-years research performed at Warsaw University of Technology, aimed at building of an advanced software for university research knowledge base. As a result, a text mining platform has been built, enabling research in the areas of text mining and semantic information retrieval. In the paper some of the implemented methods are tested from the point of view of their applicability in a real life system.
This work was supported by the National Centre for Research and Development (NCBiR) under Grant No. SP/I/1/77065/10 devoted to the Strategic scientific research and experimental development program: "Interdisciplinary System for Interactive Scientific and Scientific-Technical Information".
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Hazan, R., Andruszkiewicz, P.: Home Pages Identification and Information Extraction in Researcher Profiling. In: Bembenik, R., et al. (eds.) Intelligent Tools for Building a Scientific Information Platform: Advanced Architectures and Solutions, pp. 41–51 (2013)
Tang, J., Yao, L., Zhang, D., Zhang, J.: A combination approach to web user profiling. ACM Transactions on Knowledge Discovery from Data, TKDD 5(1), 2 (2010)
Bembenik, R., et al. (eds.): Intelligent Tools for Building a Scientific Information Platform. SCI, vol. 390. Springer, Heidelberg (2012)
Berman, F.: Got Data? A Guide to Data Preservation in the Information Age. CACM 51(12) (2008)
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 34, 443–498 (2009)
Koperwas, J., Skonieczny, Ł., Rybiński, H., Struk, W.: Development of a University Knowledge Base. In: Bembenik, R., Skonieczny, Ł., Rybiński, H., Kryszkiewicz, M., Niezgódka, M. (eds.) Intell. Tools for Building a Scientific Information. SCI, vol. 467, pp. 97–110. Springer, Heidelberg (2013)
Koperwas, J., Skonieczny, Ł., Kozłowski, M., Rybiński, H., Struk, W.: University Knowledge Base – Two Years of Experience. In: Bembenik, R., Skonieczny, Ł., Rybin’ski, H., Kryszkiewicz, M., Niezgódka, M. (eds.) Intelligent Tools for Building a Scientific Information Platform - From Research to Implementation. SCI, vol. 541, pp. 257–274. Springer, Heidelberg (2014)
Kozłowski, M.: Word sense discovery using frequent termsets, PhD Thesis, Warsaw University of Technology (2014)
Di Marco, A., Navigli, R.: Clustering and Diversifying Web Search Results with Graph-Based Word Sense Induction, Computational Linguistics, vol. 39(3), pp. 709–754. MIT Press (2013)
Medelyan, O., Milne, D., Legg, C., Witten Ian, H.: Mining meaning from Wikipedia. Int’l. J. Hum.-Comput. Stud. 67(9), 716–754 (2009)
Milne, D., Medelyan, O., Witten, I.H.: Mining domain-specific thesauri from Wikipedia: A case study. In: IEEE/WIC/ACM International Conference on Web Intelligence, Hong Kong, China, pp. 442–448 (2006)
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, pp. 25–30 (2008)
Navigli, R., Vannella, D.: SemEval-2013 Task 11: Word Sense Induction & Disambiguation within an End-User Applications. In: Proc. of 7th Int’l Workshop on Semantic Evaluation, 2nd Joint Conf. on Lexical and Computational Semantics, pp. 193–201 (2013)
Ontology of Scientific Journal, classification of scientific journals, http://www.science-metrix.com/eng/tools.htm
Omelczuk, A., Andruszkiewicz, P.: Agent-based Web Resource Retrieval System for Scientific Knowledge Base (2013)
Zotero, http://www.zotero.org/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Koperwas, J., Skonieczny, Ł., Kozłowski, M., Andruszkiewicz, P., Rybiński, H., Struk, W. (2014). AI Platform for Building University Research Knowledge Base. In: Andreasen, T., Christiansen, H., Cubero, JC., Raś, Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2014. Lecture Notes in Computer Science(), vol 8502. Springer, Cham. https://doi.org/10.1007/978-3-319-08326-1_41
Download citation
DOI: https://doi.org/10.1007/978-3-319-08326-1_41
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08325-4
Online ISBN: 978-3-319-08326-1
eBook Packages: Computer ScienceComputer Science (R0)