By Vijayan Sugumaran, Jon Atle Gulla
The fast development of semantic net applied sciences, in addition to the truth that they're at a number of degrees of adulthood, has left many practitioners careworn in regards to the present kingdom of those applied sciences. targeting the main mature applied sciences, utilized Semantic net applied sciences integrates thought with case reports to demonstrate the background, present nation, and destiny path of the semantic net. It keeps an emphasis on real-world functions and examines the technical and functional matters concerning using semantic applied sciences in clever info administration.
The booklet begins with an advent to the fundamentals—reviewing ontology fundamentals, ontology languages, and examine relating to ontology alignment, mediation, and mapping. subsequent, it covers ontology engineering concerns and offers a collaborative ontology engineering instrument that's an extension of the Semantic MediaWiki. Unveiling a singular method of information and data engineering, the textual content:
* Introduces state-of-the-art taxonomy-aware algorithms
* Examines semantics-based carrier composition in shipping logistics
* bargains ontology alignment instruments that use details visualization techniques
* Explains tips on how to increase the illustration of entity semantics in an ontology
* Addresses demanding situations in tackling the content material production bottleneck
Using case reviews, the booklet offers authoritative insights and highlights necessary classes realized by way of the authors—information platforms veterans with a long time of expertise. They clarify the way to create social ontologies and current examples of the appliance of semantic applied sciences in construction automation, logistics, ontology-driven company procedure intelligence, determination making, and effort potency in clever houses.
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Extra info for Applied Semantic Web Technologies
DL forms a decidable subset of first order logic. This decidability is very convenient for reasoning about ontology. , the absence of variables (Bruijn, 2003). This limited expressiveness, however, ensures decidability and improves tractability. DL provides many reasoning services that allow the construction of classification hierarchies and the checking of consistency of the descriptions. These reasoning services can then be used by applications that prefer to use the knowledge represented in the ontology.
Facts within the instance base, along with their relationships and constraints, are exploited to infer new facts that can be added to the base. A well known mechanism uses IF–THEN rules representing associations of concepts. If the ontology has been obtained by integration, rules can be classified as internals or bridges. Internal rules specify associations among elements of one source, as in: Internal Rule : < O : Fi > < O : Fj > The schema can be read: If Fi (antecedent) is a true formula within ontology O, then Fj (consequent) is true in the same O.
An ontology is not limited to its domain but is more developed in the chosen domain. Acquisition and utilization are made more tractable by the deployment of recent technologies such as faster machines, color graphical user interfaces, graphical browsers and editors, on-line lexicons, corpora, other ontologies, semi-automated tools for consistency maintenance, and interfaces for lexicographer interactions. 2 Types of Ontologies An ontology can be classified by the type of knowledge it conveys (Akerkar, 2009).