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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Legal linguistic templates and the tension between legal knowledge representation and reasoning [PDF]
Frontiers in Artificial Intelligence, 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.
Tomer Libal
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An Ontology for Chinese Government Archives Knowledge Representation and Reasoning [PDF]
IEEE Access, 2021 Government archives comprise a series of documents or important information resources produced or used by government departments to meet the needs of economic and social governance, fulfill government functions, and perform official activities. They have
Zhiyu Wang +3 more
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A Knowledge Representation and Reasoning System for Multimodal Neuroimaging Studies
Inteligencia Artificial, 2017 Multimodal neuroimaging analyses are of major interest for both research and clinical practice, enabling the combined evaluation of the structure and function of the human brain. These analyses generate large volumes of data and consequently increase the
Ana Coelho +5 more
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Unknown Disease Outbreaks Detection: A Pilot Study on Feature-Based Knowledge Representation and Reasoning Model. [PDF]
Front Public Health, 2021 Feng R, Hu Q, Jiang Y.
europepmc +3 more sources
Weighted Generalized Fuzzy Petri Nets and Rough Sets for Knowledge Representation and Reasoning [PDF]
Rough SetsInternational Joint Conference, 2020 Suraj Z, Hassanien A, Bandyopadhyay S.
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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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Real-Time Semantic Data Flow Reasoning Based on Improved Multi-Embedding Space [PDF]
Jisuanji gongcheng, 2022 The joint use of semantic data flow processing engine and knowledge graph embedding representation learning can effectively improve the performance of real-time data stream reasoning and query.The existing knowledge representation learning models pay ...
GAO Feng, YAO Guangtao, GU Jinguang
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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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