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Ontological Approach: Knowledge Representation and Knowledge Extraction
Lobachevskii Journal of Mathematics, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ataeva, O. M. +2 more
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2021
The article explores methods for extracting implicit knowledge. It is difficult to transfer implicit knowledge since it is fixed in implicit knowledge medium - a person. The extraction of implicit knowledge transforms it into explicit knowledge and makes it possible to transfer it from person to person. The features of implicit knowledge are described.
R. G. Bolbakov +3 more
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The article explores methods for extracting implicit knowledge. It is difficult to transfer implicit knowledge since it is fixed in implicit knowledge medium - a person. The extraction of implicit knowledge transforms it into explicit knowledge and makes it possible to transfer it from person to person. The features of implicit knowledge are described.
R. G. Bolbakov +3 more
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Automating Knowledge Extraction from Unstructured Knowledge Articles
2019 IEEE Pune Section International Conference (PuneCon), 2019Customer Service Agents face many difficulties in finding suitable knowledge articles for resolution of customers’ queries. This paper introduces Information Filtering System that helps customer service agents finding suitable knowledge articles as well as specific sections of text within knowledge articles for resolution of customers’ queries through ...
Sanjeev Manchanda, Ajeet Phansalkar
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Towards focused knowledge extraction
Proceedings of the 22nd International Conference on World Wide Web, 2013A large part of Web resources consists of unstructuredtextual content. Processing and retrieving relevant contentfor a particular information need is challenging for both ma-chines as well as humans. While information retrieval tech-niques provide methods for detecting suitable resources fora particular query, information extraction (IE ...
Besnik Fetahu +2 more
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Knowledge extraction from fictional texts
2022Wissensextraktion ist ein Schlüsselaufgabe bei der Verarbeitung natürlicher Sprache, und umfasst viele Unteraufgaben, wie Taxonomiekonstruktion, Entitätserkennung und Typisierung, Relationsextraktion, Wissenskanonikalisierung, etc. Durch den Aufbau von strukturiertem Wissen (z.B.
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Biological Knowledge Extraction
2009Text Mining is the process of extracting [novel] interesting and non-trivial information and knowledge from unstructured text (Google™ search result for “define: text mining”). Information retrieval, natural language processing, information extraction, and text mining provide methodologies to shift the burden of tracing and relating data contained in ...
Florian Leitner +2 more
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Knowledge Extraction from Reinforcement Learning
IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), 2002This paper deals with knowledge extraction from reinforcement learners. It addresses two approaches towards knowledge extraction: the extraction of explicit, symbolic rules front neural reinforcement learners; and the extraction of complete plans from such learners.
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Methods for Extracting Knowledge [PDF]
The paper describes some methods of extracting knowledge from large amounts of data, and also the concepts of classification, regression and clustering. In terms of classification, it describes some of the techniques and methods, namely the decision trees, the Bayesian method, k-NN, etc.
Ana-Maria Ramona Stancu +2 more
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