By Dean Allemang, James Hendler
Semantic internet for the operating Ontologist: potent Modeling in RDFS and OWL, moment version, discusses the services of Semantic net modeling languages, resembling RDFS (Resource Description Framework Schema) and OWL (Web Ontology Language). geared up into sixteen chapters, the publication offers examples to demonstrate using Semantic internet applied sciences in fixing universal modeling difficulties. It makes use of the existence and works of William Shakespeare to illustrate probably the most uncomplicated services of the Semantic net.
The publication first presents an outline of the Semantic net and facets of the internet. It then discusses semantic modeling and the way it will probably aid the advance from chaotic details accumulating to 1 characterised by way of details sharing, cooperation, and collaboration. It additionally explains using RDF to enforce the Semantic internet via permitting info to be disbursed over the net, in addition to using SPARQL to entry RDF info. in addition, the reader is brought to elements that make up a Semantic internet deployment and the way they healthy jointly, the concept that of inferencing within the Semantic internet, and the way RDFS differs from different schema languages. eventually, the e-book considers using SKOS (Simple wisdom association approach) to control vocabularies by way of benefiting from the inferencing constitution of RDFS-Plus.
This e-book is meant for the operating ontologist who's attempting to create a site version at the Semantic Web.
- Updated with the newest advancements and advances in Semantic net applied sciences for organizing, querying, and processing details, together with SPARQL, RDF and RDFS, OWL 2.0, and SKOS
- Detailed info at the ontologies utilized in contemporary key internet functions, together with ecommerce, social networking, information mining, utilizing govt information, and extra
- Even extra illustrative examples and case reports that exhibit what semantic applied sciences are and the way they interact to unravel real-world problems
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