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By Vijayan Sugumaran, Jon Atle Gulla
The swift development of semantic net applied sciences, besides the truth that they're at quite a few degrees of adulthood, has left many practitioners harassed concerning the present nation of those applied sciences. concentrating on the main mature applied sciences, utilized Semantic internet applied sciences integrates thought with case reports to demonstrate the historical past, present nation, and destiny course of the semantic internet. It keeps an emphasis on real-world functions and examines the technical and sensible matters regarding using semantic applied sciences in clever info administration.
The e-book begins with an advent to the fundamentals—reviewing ontology fundamentals, ontology languages, and study with regards to ontology alignment, mediation, and mapping. subsequent, it covers ontology engineering matters and provides a collaborative ontology engineering software that's an extension of the Semantic MediaWiki. Unveiling a unique method of info and data engineering, the textual content:
* Introduces state-of-the-art taxonomy-aware algorithms
* Examines semantics-based provider composition in delivery logistics
* deals ontology alignment instruments that use info visualization techniques
* Explains how you can increase the illustration of entity semantics in an ontology
* Addresses demanding situations in tackling the content material production bottleneck
Using case stories, the booklet presents authoritative insights and highlights precious classes realized through the authors—information platforms veterans with many years of expertise. They clarify the right way to create social ontologies and current examples of the applying of semantic applied sciences in construction automation, logistics, ontology-driven company strategy intelligence, selection making, and effort potency in clever houses.
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Extra resources for Applied Semantic Web Technologies
Example text
Ontology generally consists of a list of interrelated terms and inference rules and can be exchanged between users and applications. An ontology may be defined in a more or less formal way, from natural language to description logics. OWL belongs to the latter category. It is built upon RDF and RDFS and extends them to express class properties. The pioneer definition of ontology in the sense of the Semantic Web was proposed by Tom Gruber (Gruber, 1993): Definition 3—Ontology is a formal explicit specification of a shared conceptualization.
Taxonomy includes presentations of vocabularies, application profiles, and development of metadata schemes, if any. Taxonomies and thesauri do not appear on the Semantic Web stack as they were not specifically designed for the Web; they, however, belong to the Semantic Web picture. The taxonomy can be defined as follows: Definition 5—Taxonomy is a hierarchically organized controlled vocabulary. The world has a number of taxonomies, because humans naturally classify objects. Taxonomies are semantically weak and are commonly used when navigating without a precise research goal in mind.
A domain ontology is dedicated to a particular domain that remains generic for this domain and can be used and reused for particular tasks in the same domain. Chemical, medical, enterprise modeling, and other uses represent domain ontologies. An application ontology gathers knowledge dedicated to a particular task, including more specialized knowledge of experts for the application. In general, application ontologies are not reusable. A meta-ontology or representation ontology specifies the knowledge representation principles used to define concepts of domain and generic ontologies; it defines, a class, a relation, and/or a function.