Glossary CAN: Content-Adressable Network DHT: Distributed Hash Table JSON: JavaScript Object Notation NAICS: North American Industrial Classification System OWL-S: Ontology Web Language for Services REST: Representational State Transfer SA-WSDL: Semantically Annotated WSDL SA-REST: Semantic Annotation of Web Resources SIC: Standard Industrial Classification SML: Service Modeling Language SOA: S...

We live in a service society and every day we are able to make use of many services because of the specialized training people have in different service areas. We need our damaged cars repaired and our hair cut, so we use the yellow pages to find feasible service providers and eventually negotiate with some of them to make a final decision of whom to use. This kind of specialized business has m...

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The ability to discover services in Mobile Ad hoc Network (MANET) is a major prerequisite. Cluster basedcross layer intelligent service discovery for MANET (CBISD) is cluster based architecture, caching ofsemantic details of services and intelligent forwarding using network layer mechanisms. The cluster basedarchitecture using semantic knowledge provides scalability and accuracy. Also, the mini...

In order to minimize time & cost for E-Discovery, many vendors have developed and released competitively their own service systems or software applied state-of-the-art technologies. Among them, Cloud Computing is one of the most exclusive skills as a computing infrastructure for E-Discovery service. However, these products actually do not cover all E-Discovery works that have to be done and hav...

This work proposes a Web Service (WS) discovery model in which the functional and nonfunctional requirements are taken into account during service discovery. The proposed infrastructure includes a set of services and tools to support an integrated WS discovery and selection solution. A mechanism is introduced that supports three different functional policies. It is able to take advantage of qua...

Service Oriented Architecture (SOA) technology enables composition of large and complex computational units out of the available atomic services. Implementation of SOA brings about challenges which include service discovery, service interaction, service composition, robustness, quality of service, security, etc. These challenges are mainly due to the dynamic nature of SOA. SOAmay often need to ...

Emerging service-oriented architectures are pushing towards on-demand and “on the fly” application and business process composition. In order to support service composition, the underlying infrastructure must provide a facility for on-demand discovery of services and service components. Discovery becomes challenging when services span different networks and/or discovery domains. For inter-domai...

Service Oriented Architecture (SOA) technology enables composition of large and complex computational units out of the available atomic services. Implementation of SOA brings about challenges which include service discovery, service interaction, service composition, robustness, quality of service, security, etc. These challenges are mainly due to the dynamic nature of SOA. SOAmay often need to ...

Due to the availability of huge number of Web services (WSs), finding an appropriate WS according to the requirement of a service consumer is still a challenge. In this paper, we present a new and flexible approach, called SeqDisc, that assesses the similarity between WSs. In particular, the approach exploits the Prüfer encoding method to represent WSs as sequences capturing both semantic and s...