Download E-books Fuzzy Knowledge Management for the Semantic Web (Studies in Fuzziness and Soft Computing) PDF

By Li Yan, Zongmin Ma, Fu Zhang, Jingwei Cheng

This ebook is going to nice intensity in regards to the quick starting to be subject of applied sciences and ways of fuzzy good judgment within the Semantic internet. the subjects of this publication 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 facts types, garage of fuzzy ontology wisdom bases in fuzzy databases, fuzzy Semantic net 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 publication 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 specialist confronted with non-traditional functions that make the appliance of traditional techniques tough or most unlikely.

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References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243 243 244 245 245 252 259 263 263 270 271 271 Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273 eight nine . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . bankruptcy 1 wisdom illustration and Reasoning within the Semantic net 1. 1 advent The Semantic internet (Berners-Lee et al. 2001) is an extension of the present net, during which internet assets are given computer-understandable semantics, larger allowing pcs and other people to paintings in cooperation. the advance of the Semantic internet proceeds in steps, each one step construction a layer on most sensible of one other. The layers of the Semantic net are proven in Fig. 1. 1 (Berners-Lee et al. 2006). As proven in Fig. 1. 1, the 1st layer, URI and Unicode, follows the $64000 gains of the present WWW. Unicode is a customary of encoding overseas personality units and it permits that each one human languages can be utilized (written and skim) on the internet utilizing one standardized shape. Uniform source Identifier (URI) is a string of a standardized shape that enables to uniquely determine assets (e. g. , documents). the second one layer, Extensible Markup Language (XML) layer with XML namespace and XML schema definitions makes convinced that there's a universal syntax utilized in the Semantic internet. The 3rd layer is the information illustration structure for Semantic internet, i. e. , source Description Framework (RDF). RDF is a framework for representing information regarding assets in a graph shape. It was once essentially meant for representing metadata approximately WWW assets. All information within the Semantic internet use RDF because the basic illustration language. RDF itself serves as an outline of a graph shaped via triples. somebody can outline vocabulary of phrases used for extra exact description. to permit standardized description of taxonomies and different ontological constructs, a RDF Schema (RDFS) is created including its formal semantics inside of RDF. RDFS can be utilized to explain taxonomies of sessions and houses and use them to create light-weight ontologies. extra designated ontologies may be created with net Ontology Language OWL, that's the center layer of the Semantic net. The OWL deals extra constructs over RDFS. it really is syntactically embedded into RDF, so like RDFS, it presents extra standardized vocabulary. in addition, to supply principles past the constructs to be had from those languages, rule languages (e. g. , RIF) are being standardized for the Semantic net in addition. additionally, for querying RDF information in addition to RDFS and OWL ontologies, an easy Protocol and RDF question Language Z. Ma et al. , Fuzzy wisdom administration for the Semantic internet, experiences in Fuzziness and gentle Computing 306, DOI: 10. 1007/978-3-642-39283-2_1, Ó Springer-Verlag Berlin Heidelberg 2014 1 2 1 wisdom illustration and Reasoning (SPARQL) is on the market. SPARQL is SQL-like language, yet makes use of RDF triples and assets for either matching a part of the question and for returning result of the question. due to the fact that either RDFS and OWL are outfitted on RDF, SPARQL can be utilized for querying ontologies and data bases without delay besides.

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