By Mamadou Tadiou Koné, Daniel Lemire
Semantics, internet prone, and internet techniques promise larger re-use, common interoperability and integration. Semantics has been well-known because the fundamental software to deal with the demanding situations of a large spectrum of heterogeneity and for making improvements to automation via computer comprehensible descriptions.Semantic net providers, tactics and functions brings contributions from researchers who examine, discover and comprehend the semantic permitting of all stages of semantic net techniques. This encompasses layout, annotation, discovery, choreography and composition. additionally this e-book provides primary functions and methods linked to ontological modeling or companies, annotation, matching and mapping, and reasoning. this is often complemented via dialogue of functions in e-Government and bioinformatics.Special bulk charges can be found for direction adoption via Publishing Editor.
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Extra info for Canadian Semantic Web
Sheth (1996). Semantic heterogeneity in global information systems; The role of metadata, context and ontologies. Cooperative Information Systems: Current Trends and Applications. M. Papzoglou and G. Schlageter. London, UK, Academic Press: 139-178. Kim, W. and J. Seo (1991). " IEEE Computer 24(12): 12-18. Klein, M. and A. Bernstein (2001). Searching for Services on the Semantic Web Using Process Ontologies. International Semantic Web Working Symposium (SWWS), Stanford University, California, USA.
A sign is generally defined as something that stands for something else. The human language is a particular case of semiotics. A language is a system of conventional spoken or written symbols by means of which people communicate. Formal languages, such as logic, are also based on symbols and, therefore, are also studied by semiotics. Compared to the human language, formal languages have a precise construction rules for the syntax and semantics of programs. Semiotics is composed of three fundamental 6 Semantic Web Services, Processes and Applications components: syntax, semantics, and pragmatics (Peirce 1960).
Therefore, one of the problems that need to be solved is how to efficiently discover Web services (Cardoso and Sheth 2003). Currently, the industry standards available to register and discover Web services are based on the Universal Description Discovery and Integration specification (UDDI 2002). Unfortunately, discovering Web services using UDDI is relatively inefficient since the specification does not take into account the semantics of Web services, even though it provides an interface for keyword and taxonomy based searching as shown in Figure 1-8.