By Li Yan, Zongmin Ma, Fu Zhang, Jingwei Cheng
This booklet is going to nice intensity about the speedy becoming subject of applied sciences and methods of fuzzy good judgment within the Semantic net. the subjects of this ebook 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 internet ontology mapping, and fuzzy principles and their interchange within the Semantic net. The e-book goals to supply a unmarried checklist of present study within the fuzzy wisdom illustration and reasoning for the Semantic internet. the target of the publication is to supply the cutting-edge info to researchers, practitioners and graduate scholars of the net intelligence and even as serve the data and information engineering specialist confronted with non-traditional purposes that make the applying of traditional techniques tricky or very unlikely.
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Additional info for Fuzzy Knowledge Management for the Semantic Web (Studies in Fuzziness and Soft Computing)
Nine. 2. 1 f-SWRL . . . . . . . . . . . . . . . . . . . . . . . . . . . nine. 2. 2 f-NSWRL . . . . . . . . . . . . . . . . . . . . . . . . . nine. 2. three f-SW-if–then-RL and f-SW-if–then-unless-RL nine. 2. four f-R2ML . . . . . . . . . . . . . . . . . . . . . . . . . . . nine. three Fuzzy Rule Interchange . . . . . . . . . . . . . . . . . . . . . nine. three. 1 Rif-frd . . . . . . . . . . . . . . . . . . . . . . . . . . . . nine. three. 2 f-RIA structure . . . . . . . . . . . . . . . . . . . nine. four precis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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 creation The Semantic net (Berners-Lee et al. 2001) is an extension of the present net, within which internet assets are given computer-understandable semantics, larger permitting desktops and other people to paintings in cooperation. the improvement of the Semantic internet proceeds in steps, every one step construction a layer on best of one other. The layers of the Semantic internet 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 typical of encoding foreign personality units and it permits that every one human languages can be utilized (written and skim) on the net utilizing one standardized shape. Uniform source Identifier (URI) is a string of a standardized shape that permits to uniquely establish 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 net. The 3rd layer is the information illustration structure for Semantic net, i. e. , source Description Framework (RDF). RDF is a framework for representing information regarding assets in a graph shape. It was once basically meant for representing metadata approximately WWW assets. All facts within the Semantic internet use RDF because the basic illustration language. RDF itself serves as an outline of a graph shaped by means of triples. someone can outline vocabulary of phrases used for extra designated 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 should be created with net Ontology Language OWL, that is the center layer of the Semantic internet. The OWL deals extra constructs over RDFS. it truly is syntactically embedded into RDF, so like RDFS, it presents extra standardized vocabulary. in addition, to supply ideas past the constructs on hand from those languages, rule languages (e. g. , RIF) are being standardized for the Semantic net besides. furthermore, for querying RDF facts 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, stories in Fuzziness and gentle Computing 306, DOI: 10.