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An Introduction to Knowledge Representation and Reasoning in Healthcare
, 2015 Healthcare and medicine are, and have always been, very knowledge-intensive fields. Healthcare professionals use knowledge of the structure (molecular biology, cell biology, histology, gross anatomy) and functioning of the human body as well as knowledge of methods and means, some of them described by clinical guidelines, to diagnose and manage ...
Arjen Hommersom +3 more
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Ontology-Based Knowledge Representation in Robotic Systems: A Survey Oriented toward Applications
Applied Sciences, 2021 Knowledge representation in autonomous robots with social roles has steadily gained importance through their supportive task assistance in domestic, hospital, and industrial activities.
Sumaira Manzoor +6 more
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Formal Ontologies and Semantic Technologies: A “Dual Process” Proposal for Concept Representation
Philosophia Scientiæ, 2014 One of the main problems of most contemporary concept-oriented knowledge representation systems is one of technical convenience. Namely the representation of knowledge in prototypical terms and the possibility of exploiting forms of typicality-based ...
Marcello Frixione, Antonio Lieto
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Linguistic-Valued Approximate Reasoning With Lattice Ordered Linguistic-Valued Credibility [PDF]
International Journal of Computational Intelligence Systems, 2015 Linguistic terms are often used to represent the truth degree or credibility degree to manage the uncertainty or imprecision as one of popular ways of knowledge representation in the perception-based decision making problem.
Li Zou, Yunxia Zhang, Xin Liu
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A Review of Knowledge Graph-Based Reasoning Technology in the Operation of Power Systems
Applied Sciences, 2023 Knowledge graph (KG) technology is a newly emerged knowledge representation method in the field of artificial intelligence. Knowledge graphs can form logical mappings from cluttered data and establish triadic relationships between entities.
Rui Liu +4 more
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Unifying Class-Based Representation Formalisms
, 2011 The notion of class is ubiquitous in computer science and is central in many formalisms for the representation of structured knowledge used both in knowledge representation and in databases.
Calvanese, D., Lenzerini, M., Nardi, D.
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Disjunctive Logic Programs with Inheritance
, 2001 The paper proposes a new knowledge representation language, called ...
Buccafurri, Francesco +2 more
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The business process modelling ontology [PDF]
, 2009 In this paper we describe the Business Process Modelling Ontology (BPMO), which is part of an approach to modelling business processes at the semantic level, integrating knowledge about the organisational context, workflow activities and Semantic Web ...
Cabral, Liliana +2 more
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IEEE AccessThe rapid growth of Large Language Models (LLMs) and their in-context learning (ICL) capabilities has significantly transformed paradigms in artificial intelligence (AI) and natural language processing. Notable models, such as OpenAI’s GPT series,
Azza Abdel Monem +2 more
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Evaluating Knowledge Representation and Reasoning Capabilites of Ontology Specification Languages [PDF]
, 2000 The interchange of ontologies across the World Wide Web (WWW) and the cooperation among heterogeneous agents placed on it is the main reason for the development of a new set of ontology specification languages, based on new web standards such as XML or ...
Corcho, Oscar, Gómez-Pérez, A.
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