Composing Web services on the Semantic Web

Abstract

Abstract. Service composition is gaining momentum as the potential silver bullet for the envisioned Semantic Web. It purports to take the Web to unexplored efficiencies and provide a flexible approach for promoting all types of activities in tomorrow's Web. Applications expected to heavily take advantage of Web service composition include B2B E-commerce and E-government. To date, enabling composite services has largely been an ad hoc, time-consuming, and error-prone process involving repetitive low-level programming. In this paper, we propose an ontology-based framework for the automatic composition of Web services. We present a technique to generate composite services from high-level declarative descriptions. We define formal safeguards for meaningful composition through the use of composability rules. These rules compare the syntactic and semantic features of Web services to determine whether two services are composable. We provide an implementation using an E-government application offering customized services to indigent citizens. Finally, we present an exhaustive performance experiment to assess the scalability of our approach.

Towards Semi-automated Workflow-Based Aggregation of Web Services

“…Regrettably, space limitations do not allow a thorough discussion of related work (e.g., manual [3,28], semiautomatic [9,12] or fully automatic approaches [2,11,19,20,21,27]). Surveys on Web service composition can be found in [1,6,8,14].…”

Management of Web Services Communities, WSC System

“…[6] [7] To insert a community description into the taxonomy, the user presses the button InsertCommunity that displays the insertion panel, as is illustrated in Figure 5.…”

An Integrated Declarative Approach to Web Services Composition and Monitoring

“…Static workflow composition approaches require an abstract composition to be specified and the selection and binding is performed automatically by the Web services composition process, while the dynamic workflow composition approaches require to both build the abstract composition and select atomic service automatically based on user request as proposed in [11]. The composition process can also be regarded as a AI planning problem assuming that each Web service can be specified by its preconditions and effects (using situation calculus [5,8], rule-based planning [6], theorem proving [15] or other approaches including [13]). …”