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Ontological Approach: Knowledge Representation and Knowledge Extraction
Lobachevskii Journal of Mathematics, 2020The application of artificial intelligence algorithms for data analysis, characteristics, and metrics of scientific information resources are considered. In this paper, we discuss how metrics are related to assessment of scientific publication components and whether metrics are related to fundamental knowledge.
Natalia Pavlovna Tuchkova +2 more
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Semantic interpretation and knowledge extraction
Knowledge-Based Systems, 2007A system that extracts knowledge from texts is presented. It is also indicated how the inferences necessary for the extraction of knowledge can be acquired by the system from sentences entered by u...
Gomez, Fernando, Segami, Carlos
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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 ...
Robert Hoffmann +2 more
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Knowledge Extraction for Information Retrieval
2016Document retrieval is the task of returning relevant textual resources for a given user query. In this paper, we investigate whether the semantic analysis of the query and the documents, obtained exploiting state-of-the-art Natural Language Processing techniques e.g., Entity Linking, Frame Detection and Semantic Web resources e.g., YAGO, DBpedia, can ...
Corcoglioniti Francesco +3 more
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Research on Knowledge Extraction and Visualization in Knowledge Retrieve
2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, 2009In order to adapt to the development tendency of Knowledge Organization and resolve the problem about the low efficiency of Information Retrieve, Knowledge Retrieve as a new retrieval theory is proposed. Based on the knowledge organization, it realizes the intelligent retrieve of Knowledge Correlation and Concept Semantic Retrieve.
Xia HuoSong, Chen YongYue
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Extracting Knowledge from Neural Networks
2006Neural networks (NN) as classifier systems have shown great promise in many problem domains in empirical studies over the past two decades. Using case classification accuracy as the criteria, neural networks have typically outperformed traditional parametric techniques (e.g., discriminant analysis, logistic regression) as well as other non-parametric ...
Christie M. Fuller, Rick L. Wilson
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Method for extracting commonsense knowledge
Proceedings of the fifth international conference on Knowledge capture, 2009This paper presents a semiautomatic method for generating commonsense axioms. The method relies on three metarules that process a few commonsense rules referring to some concept properties. The proposed algorithm searches automatically in Extended WordNet for all concepts that have a given property and generates axioms linking those concepts with the ...
Dan Moldovan, Hakki C. Cankaya
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Knowledge Extraction for Literature Review
Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016Researchers in all domains need to keep abreast with recent scientific advances. Finding relevant publications and reviewing them is a labor-intensive task that lacks efficient automatic tools to support it. Current tools are limited to standard keyword-based search systems that return potentially relevant documents and then leave the user with a ...
Dan Moldovan +4 more
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Making Knowledge Extraction and Reasoning Closer
2000The paper shows how a logic-based database language can support the various steps of the KDD process by providing a high degree of expressiveness, and the separation of concerns between the specification level and the mapping to the underlying databases and data mining tools.
Giannotti F, Manco G
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Interest Propagation for Knowledge Extraction and Representation
2013Due to the increasing number of available biomedical data repositories, providing a comprehensive and intuitive access to information is still a demanding task for Information Retrieval systems. In this work we present an interactive data exploration system that retrieves relevant information by propagating the user's interest within a network.
Blaz Zupan +3 more
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