Abstract. In this paper, we present an adaptive, hybrid semantic matchmaker for SAWSDL services, called SAWSDL-MX2. It determines three kinds of semantic service similarity with a given service request, that are logic-based, text-based and structural similarity. In particular, the degree of structural service similarity is computed by the WSDLAnalyzer tool [12] by means of XMLS tree edit distance measurement, string-based and lexical comparison of the respective XML-based WSDL services. SAWSDL-MX2 then learns the optimal aggregation of these different matching degrees over a subset of a test collection SAWSDL-TC1 based on a binary support vector machine-based classifier. Finally, we compare the retrieval performance of SAWSDL-MX2 with a nonadaptive matchmaker variant SAWSDL-MX1 [1] and the straight forward combination of its logic-based only variant SAWSDL-M0 with WSDLAnalyzer.

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Abstract. Services provide an universal basis for the integration of applications and processes that are distributed among entities, both within an organization and across organizational borders: This paper presents a model-driven approach to design interoperable agents in service-oriented architectures (SOA). The approach provides a foundation for how to incorporate autonomous agents into a SOA using principles of model-driven development (MDD). It presents a metamodel (AgentMM) for a BDI-agent architecture and relates AgentMM to a platformindependent model for SOAs (PIM4SOA). In this paper we mainly concentrate our discussions on the service and process aspects of SOA and how transformations to agent technology would look like. We argue that this mapping allows the design of generic agent systems in the context of SOAs that are executable in an adaptive and flexible manner.