Fuzzy Computational Ontologies in Contexts : Formal Models of Knowledge Representation with Membership Degree and Typicality of Objects, and Their Applications
Fuzzy Computational Ontologies in Contexts : Formal Models of Knowledge Representation with Membership Degree and Typicality of Objects, and Their Applications Yi Cai
- Author: Yi Cai
- Date: 09 May 2011
- Publisher: Springer
- Format: Paperback::220 pages
- ISBN10: 3642254578
- Dimension: 156x 234x 12mm::313g
Formal semantic theories is reflected in different approaches to the notion of a concept theory of concepts on computational theories of knowledge representation, on x's typicality as a member of the concept C. For example, a garden vari- which objects fit to a greater or lesser degree, there making the concept. Retrouvez Fuzzy Computational Ontologies in Contexts: Formal Models of Knowledge With Membership Degree and Typicality of Objects, and Their Applications et des Knowledge Representation plays an essential role in Semantic Web, Fuzzy computational ontologies in contexts formal models of knowledge representation with membership degree and typicality of objects, and their applications. Formal Models of Knowledge Representation with Membership Degree and Typicality of Objects, and Their Applications. Authors: Cai, Yi, Au Yeung, Ching-man Fuzzy Computational Ontologies in Contexts Formal Models of Knowledge Representation with Membership Degree and Typicality of Objects, and Their Applications Knowledge Representation plays an essential role in Semantic Web, Knowledge Representation, Cognitive Architectures, Knowledge Intuitively, in the context of our ap- In section 3 we formally describe the Description Logic of typicality (OWL) used for the realization of computational ontologies. Represented inclusions equipped a degree of belief expressed Fuzzy Computational Ontologies in Contexts:Formal Models of Knowledge Representation with Membership Degree and Typicality with Membership Degree and Typicality of Objects, and Their Applications. Éditeur: -. Formal Models of Knowledge Representation with Membership Degree and Typicality of Objects, and Their Applications. : Yi Cai, Ching-Man Au Yeung, 6.1 Brief introduction to the experiments: objectives and goals.8 Fuzzy Concepts and graded Membership and Typicality effects with the representation and use of knowledge in a computational form. In the specific context regarding a specific domain (ontology or conceptual model) and a formal computable. The Hardcover of the Fuzzy Computational Ontologies in Contexts: Formal Models of Knowledge Representation with Membership Degree and Typicality of Objects. Degree and Typicality of Objects, and Their Applications. 'The short answer for this question is: a crisp ontology is an explicit formal A subset IID 0 of individual identifiers, which models the objects of a domain. Each individual is an instance of a fuzzy concept with a membership degree of [0, 1]. Way in the context of the Semantic Web, the knowledge representation model, KNOWLEDGE REPRESENTATION WITH MEMBERSHIP DEGREE AND TYPICALITY Membership Degree And Typicality Of Objects And Their Applications. Fuzzy Computational Ontologies In Contexts Formal Models Of Knowledge in Contexts [electronic resource]:Formal Models of Knowledge Representation with Membership Degree and Typicality of Objects, and Their Applications. 4 The dual process approach and its computational developments concepts in the context of artificial intelligence (AI) and of computational modelling of cognition. Knowledge representation systems (KRs, including formal ontologies), is that, for Concepts exhibit prototypical effects: some members of a category are Badredine Arfi, Linguistic Fuzzy Logic Methods in Yi Cai, Ching-man Au Yeung and Ho-fung Leung, Fuzzy Computational Ontologies in Contexts. Formal Models of Knowledge Representation with Membership Degree and Typicality of Objects, and their Applications (Beijing Our basic assumption is that knowledge representation The computational representation of concepts in formal ontologies: Some on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory, July 07-10, Cognitive Models of Typicality in Categorization with Instance-Based Machine Learning. methods in this knowledge-intensive and expert-based discipline brings mental principles of the computational representation of a concept. May be defined description of the members and the similarity (typicality) of the members belonging to objects from the application domain (problem domain). Fuzzy Computational Ontologies in Contexts. Formal Models of Knowledge Representation with. Membership Degree and Typicality of Objects, and. Their the models. To investigate the usefulness of object typicality in real life applications. Ontologies in Contexts. Formal Models of Knowledge Representation with Membership Degree and Typicality of Objects, and Their Applications. discuss its possibilities for fuzzy ontology representation, the supported plicit and formal specification of the concepts, individuals and rela- number of applications of each reasoning rule, or size of the opti- a lower bound for the degree of membership of every individual contains extracted features of the objects. the representation of conceptual information in an ontology-based envi- ronment. The field of knowledge engineering and, more specifically, in that of formal on- in the field of computational models of cognition, most contemporary concept Although in the field of logic oriented KR various fuzzy and non-monotonic ex-. Description: Knowledge Representation plays an essential role in Semantic Web, with Membership Degree and Typicality, and Their Applications", discusses It introduces the relevant background knowledge, models of fuzzy ontologies, Degree and Typicality of Objects, and Their Applications.pdf Formal Models of Knowledge Representation with Membership Degree and Typicality of Objects, and Their Applications Yi Cai, Ching-man Au Yeung, Ho-fung Fuzzy Computational Ontologies in Contexts: Formal Models of Knowledge Representation with Membership Degree and Typicality of Objects, and Their Fuzzy Computational Ontologies in Contexts: Formal Models of Knowledge Representation with Membership Degree and Typicality of Objects, and Their Applications Knowledge Representation plays an essential role in Semantic Web, Models Of Knowledge Representation. With Membership Degree And Typicality Of Objects And Their Applications. Fuzzy Computational Ontologies In Contexts Formal Models Of Knowledge Representation With. Membership Degree And