By Li Yan, Zongmin Ma, Fu Zhang, Jingwei Cheng
This booklet is going to nice intensity in regards to the quickly becoming subject of applied sciences and techniques of fuzzy common sense within the Semantic internet. the themes of this e-book comprise fuzzy description logics and fuzzy ontologies, queries of fuzzy description logics and fuzzy ontology wisdom bases, extraction of fuzzy description logics and ontologies from fuzzy information versions, garage of fuzzy ontology wisdom bases in fuzzy databases, fuzzy Semantic internet ontology mapping, and fuzzy principles and their interchange within the Semantic internet. The publication goals to supply a unmarried checklist of present learn within the fuzzy wisdom illustration and reasoning for the Semantic net. the target of the ebook is to supply the cutting-edge info to researchers, practitioners and graduate scholars of the internet intelligence and whilst serve the information and knowledge engineering expert confronted with non-traditional purposes that make the appliance of traditional techniques tricky or very unlikely.
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Extra info for Fuzzy Knowledge Management for the Semantic Web (Studies in Fuzziness and Soft Computing)
Fig. 5 Representation of a fuzzy aggregation in a fuzzy UML model New-Computer [1, ] Monitor [1, 1] New CPU box [1, ] Keyboard 42 Fig. 6 Representation of a fuzzy dependency in a fuzzy UML model Fig. 7 Representation of a fuzzy association (class) in a fuzzy UML model 3 Fuzzy Data Models and Formal Descriptions Employee Old-Employee WITH DEGREE Employee Dependent Uby Uof (1,1) (1,2) New-Computer Use Date: String : String Fuzzy Association An association is a relation between the instances of two or more classes.
225–254 Zaniolo C (1984) Database relations with null values. JCSS 21(1):142–162 Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning. Inf Sci 8:119–249 and 301–357; 9:43–80 Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353 Zadeh LA (1978) Fuzzy sets as a basis for a theory of possibility. 1 Introduction Information is often imprecise and uncertain in real-world applications. It is also true in the context of the Semantic Web. Therefore, in order to realize the fuzzy knowledge management for the Semantic Web, some knowledge management techniques such as query, extraction and storage should be developed.
Zadeh published his innovating paper ‘‘Fuzzy Set’’ in the journal of Information and Control (Zadeh 1965). Since then fuzzy set has been infiltrating into almost all branches of pure and applied mathematics that are set-theory-based. This has resulted in a vast number of real applications crossing over a broad realm of domains and disciplines. Over the years, many of the existing approaches dealing with imprecision and uncertainty are based on the theory of fuzzy sets (Zadeh 1965) and possibility theory (Zadeh 1978).