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Background Knowledge graphs (KGs), especially medical knowledge graphs, are often significantly incomplete, so it necessitating a demand for medical knowledge graph completion (MedKGC). MedKGC can find new facts based on the existed knowledge in the KGs.
Yinyu Lan +5 more
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Asynchronous Multi-Context Systems
In this work, we present asynchronous multi-context systems (aMCSs), which provide a framework for loosely coupling different knowledge representation formalisms that allows for online reasoning in a dynamic environment. Systems of this kind may interact
G. Brewka, J. Lang, J.J. Alferes
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Knowledge reasoning with multiple relational paths
Knowledge reasoning technology can infer new knowledge based on the existing entity relationship information in the knowledge graph to complement the knowledge graph. In the existing knowledge reasoning methods based on multi-step relationship paths, the
Hang Su, Huangcan Li, Dun Li
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A knowledge based software engineering environment testbed [PDF]
The Carnegie Group Incorporated and Boeing Computer Services Company are developing a testbed which will provide a framework for integrating conventional software engineering tools with Artifical Intelligence (AI) tools to promote automation and ...
Baker, L., Gill, C., Reedy, A.
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The response of soil microbial community to application of organic amendment to saline land
IntroductionThe salinization of coastal soils is a primary cause of global land degradation. The aim of this study was to evaluate the effect of organic amendment on the soil microbial community within a saline gradient.MethodsThe study was designed with
Peifei Cong +7 more
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Model the System from Adversary Viewpoint: Threats Identification and Modeling
Security attacks are hard to understand, often expressed with unfriendly and limited details, making it difficult for security experts and for security analysts to create intelligible security specifications.
Apvrille, Ludovic +2 more
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DESIGNING OBJECT-ORIENTED REPRESENTATIONS FOR REASONING FROM FIRST-PRINCIPLES [PDF]
Modeling expert knowledge using "situation-action" rules is not always feasible in knowledge intensive domains involving volatile knowledge (e.g., trading).
Benaroch, Michel
core
Proceedings of the Eighteenth International Conference on Principles of Knowledge Representation and Reasoning [PDF]
Thomas Ågotnes, Yì Wáng
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The Fuzzy Knowledge Representation in a First Logic [PDF]
Knowledge representation and processing within an expert system are rather conflicting characteristics, due to the fact that the increase in knowledge power representation reduces the system efficiency and validity.
Vasile MAZILESCU
doaj
Combining Representation Learning and Logical Rule Reasoning for Knowledge Graph Inference [PDF]
Yizhou Sun
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