Results 21 to 30 of about 737,979 (348)
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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Bounded treewidth as a key to tractability of knowledge representation and reasoning
Artificial Intelligence, 2006 G. Gottlob, R. Pichler, Fang Wei-Kleiner
semanticscholar +3 more sources
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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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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Logical Reasoning over Natural Language as Knowledge Representation: A Survey [PDF]
arXiv.org, 2023 Logical reasoning is central to human cognition and intelligence. It includes deductive, inductive, and abductive reasoning. Past research of logical reasoning within AI uses formal language as knowledge representation and symbolic reasoners.
Zonglin Yang +4 more
semanticscholar +1 more source
Towards a knowledge graph for pre-/probiotics and microbiota–gut–brain axis diseases
Scientific Reports, 2022 Scientific publications present biological relationships but are structured for human reading, making it difficult to use this resource for semantic integration and querying.
Ting Liu +4 more
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iScience, 2022 Summary: Epistemetrics, a discipline concerning measuring knowledge qualitative and quantitatively, is an under developed area of research. A primary reason for the current status is a perceived lack of a formal structure of knowledge.
Hung Tseng
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Disaster Prediction Knowledge Graph Based on Multi-Source Spatio-Temporal Information
Remote Sensing, 2022 Natural disasters have frequently occurred and caused great harm. Although the remote sensing technology can effectively provide disaster data, it still needs to consider the relevant information from multiple aspects for disaster analysis. It is hard to
Xingtong Ge +6 more
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Knowledge graph and knowledge reasoning: A systematic review
Journal of Electronic Science and Technology, 2022 The knowledge graph (KG) that represents structural relations among entities has become an increasingly important research field for knowledge-driven artificial intelligence. In this survey, a comprehensive review of KG and KG reasoning is provided.
Ling Tian +5 more
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