Control Systems and Computers, N1, 2018, Article 7
DOI: https://doi.org/10.15407/usim.2018.01.071
Upr. sist. maš., 2018, Issue 1 (273), pp. 71-78.
UDK 004.89
Savchenko Mykyta N., Student (Masters), zitros.lab@gmail.com,
Kriachok Alexander S., PhD (Eng.), Associate Professor,
alexandrkriachok@gmail.com,
National Technical University of Ukraine ‘ Igor Sikorsky Kyiv Polytechnic Institute’, Kyiv, boulevard of Victory 37, corps 5, 03056.
AUTOMATIC GENERATION OF SEMANTIC KNOWLEDGE NETWORKS FROM AN UNSTRUCTURED TEXT
A method and an algorithm for the semantic knowledge network automated construction created from the most informative concepts in the electronic texts are proposed. Аn analysis and comparison of existing methods with their software implementations for information research in electronic texts are presented. The results of BBC news article analysis using the proposed method are given.
Keywords: Building semantic networks, knowledge extraction, knowledge models, natural language processing
Download full text! (In English).
- SAVCHENKO, M.M., 2017 “Using models of knowledge for the analysis of unstructured text”. Modern problems of scientific support for Energy: Proceedings XV International scientific-practical conference of graduate students, undergraduates and students. Kiev, April 25–28, 2017, Igor Sikorsky KPI. V 2. pp. 121.
- MIKOSZ, D., 2005. Ink helps drive democracy in Asia. [online] Available at: <http://news.bbc.co.uk/2/hi/technology/4276125.stm> [Accessed 20 Dec. 2017].
- LANDE, D.V., 2014. Building of Networks of Natural Hierarchies of Terms Based on Analysis of Texts Corpora. E-preprint ArXiv 1405.6068. [online] Available at: <http://dwl.kiev.ua/art/arxiv1405.6068/1405.6068.pdf> [Accessed 20 June 2017].
- LANDE, D.V., SNARSKII, A.A., YAGUNOVA, E.V. AND PRONOZA E.V., 2013. “The Use of Horizontal Visibility Graphs to Identify the Words that Define the Informational Structure of a Text”. 12th Mexican International Conference on Artificial Intelligence, 2013, pp. 209–215.
- TOUTANOVA, K., KLEIN, D., MANNING, C.D. and SINGER Y., 2003. “Feature-rich part-of-speech tagging with a cyclic dependency network”. In: NAACL 3, pp. 252–258.
- LANDE, D.V., SNARSKII, A.A. and BEZSUDNOV, I.V., 2009. Internetika. Navigation in complex networks. Moscow: “LIBROKOM” Book House, 264 p.
- HYFTE VAN, BOUZINIER M, TSATSULIN, M, RICHARDS S., LEE K. and ALMOND C., 2013.”Mining medical texts for cancer intelligence using iKnow”. Cancer Outcomes Conference in 2013.
- BRONSELAER G. DE TRE, 2012. “Concept-Relational Text Clustering”, International journal of intelligent systems, v. 27, pp. 970–993.
- DE BOE M., BOUZINIER D., VAN HYFTE, 2013. “Extending the PMML Text Model for Text Categorization”, PMML workshop KDD13, August November 2013, Chicago, Illinois, USA.
- SAVCHENKO M., 2017. Auto Semantic Knowledge Network Builder. [online] Available at: <https://github.com/ZitRos/edu-semantic-knowledge-network-auto-builder> [Accessed 2 Aug. 2017].
Received 21.02.2018