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Knowledge Acquisition for Expanding Semantic Network
International Journal of Intelligent Information Systems
Volume 2, Issue 2, April 2013, Pages: 26-33
Received: Feb. 23, 2013; Published: Apr. 2, 2013
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Dariusz Ceglarek, Poznan School of Banking, Poznan, Poland
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This article presents the issues of knowledge management, in particular knowledge acquisition. The article summarizes research work started with the SeiPro2S (Semantically Enhanced Intellectual Property Protection System) system designed to protect resources from the unauthorized use of intel¬lectual property. The system implements semantic network as a structure of knowledge repre¬sentation and a new idea of semantic compression. As the author proved that semantic compression is viable concept for English, he decided to focus on potential applications. An algorithm is presented that employ¬ing semantic network WiSENet for knowledge acquisition with flexible rules that yield high precision results. Detailed discussion is given with description of devised algorithm, usage examples and results of experi¬ments.
Semantic Network, Semantic Compression, WiseNet, Knowledge Acquisition, Lexical Relationships, Natural Language Processing, Knowledge Representation Structures
To cite this article
Dariusz Ceglarek, Knowledge Acquisition for Expanding Semantic Network, International Journal of Intelligent Information Systems. Vol. 2, No. 2, 2013, pp. 26-33. doi: 10.11648/j.ijiis.20130202.11
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