By Brahim Medjahed
Service Composition for the Semantic Web provides an in-depth research of elements with regards to semantic-enabled internet provider modeling and composition. It additionally covers demanding situations and strategies to composing net companies at the semantic net, and offering a semantic framework for organizing and describing internet prone.
Service Composition for the Semantic Web describes composability and matching types to envision even if semantic internet companies should be mixed jointly to prevent unforeseen disasters at run time, and a collection of algorithms that immediately generate specific descriptions of composite companies from high-level requirements of composition requests. The booklet contains case stories within the components of electronic executive and bioinformatics.
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Extra info for Service Composition for the Semantic Web
From a formal point of view, DAML+OIL can be seen to be equivalent to description logic (DL), with a DAML+OIL ontology corresponding to a DL terminology (Tbox). 4 Trends in Supporting Semantic Web Interactions 35 or expressions, and a variety of constructors are provided for building class expressions. Example of DAML+OIL constructors include intersectionOf, unionOf, complementOf, oneOf, minCardinalityQ, maxCardinalityQ. The meaning of the first three constructors (intersectionOf, unionOf and complementOf) is relatively self-explanatory: they are the standard boolean operators that allow classes to be formed from the intersection, union and negation of other classes.
The duration of a relationship may be transient (also called dynamic) or long term. , for one transaction), and then disband when it is no longer profitable to stay together. Partners need to dynamically discover partners to team up with to deliver the required service. In long term relationships, businesses assume an a priori defined partnership. • Heterogeneity: heterogeneity refers to the degree of dissimilarity among business partners. The need to access data across multiple types of systems has arisen due to the increased level of connectivity and increased complexity of the data types.
However, the emerging Semantic Web has opened new research avenues because of issues such as semantics, heterogeneity, scalability, and automation. The Semantic Web requires the integration and interoperation of both applications and data. Disparate data representations between partner’s systems must be dealt with. Interaction is also required at a higher level for connecting (i) front-end with back-end systems, (ii) proprietary/legacy data sources, applications, processes, and workflows to the Web, and (iii) partners’ systems.