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Formalisation method for the text expressed knowledge
Affiliation:1. Business Department, Polytechnic of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia;2. Department of Informatics, University of Rijeka, Radmile Matej?i? 2, 51000 Rijeka, Croatia;3. Department of Information and Communication Sciences, Faculty of Humanities and Social Sciences, University of Zagreb, Ivana Lu?i?a 3, 10000 Zagreb, Croatia;1. Informatics Center — Federal University of Pernambuco (UFPE), Pernambuco, Brazil;2. Federal University of Bahia (UFBA), Bahia, Brazil;1. Faculty of Computer Science, Otto-von-Guericke University Magdeburg, Universitätsplatz 2, D-39106 Magdeburg, Germany;2. Institute for Community Medicine, Ernst-Moritz-Arndt University Greifswald, Walther-Rathenau-Straße 48, D-17475 Greifswald, Germany;3. Institute for Diagnostic Radiology and Neuroradiology, Ernst-Moritz-Arndt University Greifswald, Sauerbruchstraße, D-17487 Greifswald, Germany;1. Laboratory of Biometrics and Digital Forensics, Universiti Teknologi Malaysia, 81300 Skudai, Johor, Malaysia;2. Laboratory of Biodiversity and Bioinformatics, Universiti Teknologi Malaysia, 81300 Skudai, Johor, Malaysia;3. Laboratory of Computational Intelligence and Biotechnology, Universiti Teknologi Malaysia, 81300 Skudai, Johor, Malaysia;1. Department of Computer Science and Statistics (DCCE), São Paulo State University (UNESP), São José do Rio Preto, SP, Brazil;2. Faculty of Computation (FACOM), Federal University of Uberlândia (UFU), Uberlândia, MG, Brazil;3. Center of Mathematics, Computing and Cognition, Federal University of ABC (UFABC), Santo André, SP, Brazil;4. Federal Institute of Triângulo Mineiro (IFTM), Ituiutaba, MG, Brazil;5. Transdisciplinary Center for Study of Chaos and Complexity (NUTECC), São José do Rio Preto Medical School, São José do Rio Preto, SP, Brazil;6. Kidney Transplant Surgical Service, Base Hospital, Fundação Faculdade Regional de Medicina (FUNFARME), São José do Rio Preto, SP, Brazil;7. Pathologic Anatomy Service, Base Hospital, Fundação Faculdade Regional de Medicina (FUNFARME), São José do Rio Preto, SP, Brazil;1. University of Pannonia, Department of Process Engineering, P.O. Box 158, Veszpreém H-8200, Hungary;2. The Finnish Microarray and Sequencing Centre, Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Tykistökatu 6A, 20520 Turku, Finland
Abstract:This paper describes a method of knowledge representation as a set of text expressed statements. The method is based on the identification of word-categories/phrases and their semantic relationships within the observed statement. Furthermore, the identification of semantic relationships between words/phrases using wh-questions that clarify the role of the word/phrase in the relationship is described. A conceptual model of the computer system based on the formalization method of text-expressed knowledge is proposed. The subsystem text formalization is described in detail, especially its parts: syntactic analysis of the sentence, sentence formalization, phrase structure grammar and lexicon. The phrase structure grammar is formed by induction and it is used to generate the language of the formalized notation of a sentence. The derivation of grammar is based on the simple phrase structure grammar which was used for the syntactical analysis of informal language notation. In its base, the suggested method translates sentences of the informal language into formal language sentences which are generated by the derivated phrase structure grammar. Current limitations of the method that also set the path of its further development are shown. Next concrete steps in the development of the method are also described.
Keywords:Knowledge representation method  Semantic relationship  Phrase structure grammar  Word  Phrase  Wh-question
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