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Cognitum Ontorion: Knowledge Representation and Reasoning System [PDF]
Annals of Computer Science and Information Systems, 2015 At any point of human activity, knowledge and expertise are a key factors in understanding and solving any given problem. In present days, computer systems have the ability to support their users in an efficient and reliable way in gathering and processing knowledge. In this chapter we show how to use Cognitum Ontorion system in this areas.
Paweł Weichbroth, Paweł Kapłański
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Legal linguistic templates and the tension between legal knowledge representation and reasoning. [PDF]
Front Artif Intell, 2023 There is an inherent tension between knowledge representation and reasoning. For an optimal representation and validation, an expressive language should be used. For an optimal automated reasoning, a simple one is preferred.
Libal T.
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Knowledge Representation and Reasoning for Intelligent Software Systems [PDF]
Computer, 2011 non-peer ...
Emil Vassev, Mike Hinchey
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Revista de Matemática: Teoría y Aplicaciones, 2009 The representation of knowledge and the reasoning comprise fundamental parts of the design of an expert system. In the case under study the real world is represented by the different events that can arise in the operation of a nuclear plant. These events
Martha Mora-Torres +3 more
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Comparative analysis of knowledge representation and reasoning requirements across a range of life sciences textbooks. [PDF]
J Biomed Semantics, 2014 BackgroundUsing knowledge representation for biomedical projects is now commonplace. In previous work, we represented the knowledge found in a college-level biology textbook in a fashion useful for answering questions.
Chaudhri VK +6 more
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KNOWLEDGE REPRESENTATION AND REASONING [PDF]
Journal of University of Shanghai for Science and Technology, 2021 This paper provides a professional approach to construct a Knowledge Representation and Reasoning module. The development of AGI agents requires architecture modeled after human cognition and this also provides a framework for agents that have interaction with the actual world and to constitute and use it for making decisions that capture and permit ...
M V V S Subrahmanyam +3 more
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Survey of Knowledge Graph Reasoning Based on Representation Learning [PDF]
Jisuanji kexue, 2023 Knowledge graphs describe objective knowledge in the real world in a structured form,and are confronted with issues of completeness and newly-added knowledge.As an important means of complementing and updating knowledge graphs,know-ledge graph reasoning ...
LI Zhifei, ZHAO Yue, ZHANG Yan
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Knowledge representation issues in default reasoning [PDF]
Journal of Experimental & Theoretical Artificial Intelligence, 1990 Most existing approaches to reasoning in uncertainty and with incomplete information appeal to formal theories, with relatively little attention to the phenomena they are intended to capture. This has had two major consequences. First, it has led to the spurious disputes, in which participants criticize alternative approaches in the belief that they ...
J. Terry Nutter
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Explainable online health information truthfulness in Consumer Health Search
Frontiers in Artificial Intelligence, 2023 IntroductionPeople are today increasingly relying on health information they find online to make decisions that may impact both their physical and mental wellbeing.
Rishabh Upadhyay +3 more
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EnviroStream: A Stream Reasoning Benchmark for Environmental and Climate Monitoring
Big Data and Cognitive Computing, 2023 Stream Reasoning (SR) focuses on developing advanced approaches for applying inference to dynamic data streams; it has become increasingly relevant in various application scenarios such as IoT, Smart Cities, Emergency Management, and Healthcare, despite ...
Elena Mastria +5 more
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