Fuzzy Computational Ontologies in Contexts: Formal Models of by Dr. Yi Cai, Dr. Ching-man Au Yeung, Prof. Ho-fung Leung

By Dr. Yi Cai, Dr. Ching-man Au Yeung, Prof. Ho-fung Leung (auth.)

Knowledge illustration performs a vital position in Semantic internet, particularly in computerized details processing and communications between software program brokers. This ebook, entitled "Fuzzy Computational Ontologies in Contexts: Formal versions of data illustration with club measure and Typicality, and Their Applications", discusses wisdom illustration in Semantic net. It introduces the appropriate heritage wisdom, versions of fuzzy ontologies, significance and precedence of homes in ideas, and item typicality in fuzzy ontologies and context-aware ontologies.

The booklet is meant for graduate scholars, engineers, and researchers within the box of synthetic intelligence and computing device science.

Yi Cai is an Assistant Professor at school of software program Engineering, South China college of know-how, Guangzhou, China. Ching-man Au Yeung is a Senior Engineer in Hong Kong utilized technological know-how and expertise learn Institute, Hong Kong, China. Ho-fung Leung is a Professor and the Chairman of division of computing device technological know-how and Engineering, The chinese language collage of Hong Kong, Hong Kong, China.

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Additional resources for Fuzzy Computational Ontologies in Contexts: Formal Models of Knowledge Representation with Membership Degree and Typicality of Objects, and Their Applications

Sample text

Hence, an ABox specifies the classification of individuals and relationships between individuals in the application domain. It should be noted that unlike classical databases in which the notion of ‘closed-world semantics’ is adopted, ABoxes assumes an ‘open-world semantics’ [19]. In other words, knowledge represented in the knowledge base is not considered as complete knowledge of the domain of interest. Finally, an interpretation I is said to be a model of a TBox if it satisfies all the terminological axioms in the TBox, and a model of an ABox if I satisfies all the assertions in an ABox.

The classical view fails to provide an explanation to this phenomenon, because all these should be considered equally as birds if they possess the necessary properties of birds. In addition, it is found that typicality effect can also be observed in different cognitive tasks such as sentence verification tasks [10] and ordering of instances [11]. In summary, there has been a lot of empirical evidence against the classical view. Moreover, even though some concepts may be defined by some necessary and sufficient, human beings do not necessary carry out categorization tasks based on these properties.

Concepts and objects) that happen to exist in a situation. External context has an effect on a task in that it can impose constraints for obtaining more relevant information for the task. For different external contexts, their relevant information for the task is different. There are also numerous works on context in artificial intelligence (AI) community. For instance, Buvac et al. [45], Giunchiglia et al. [46] make subsequent efforts in formalizing context in logics. Guha et al. [47] present a context mechanism for the Semantic Web that is adequate to handle the data aggregation tasks.

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