Abstract
Process models play an important role in modern information systems and in service-based applications. Given the sizes of current process model repositories, there is a critical need for techniques allowing to retrieve process models fulfilling user needs. While the problem of process similarity search has been extensively studied in the literature, existing techniques do not use semantic annotations that are proposed by the semantic web services languages and models. In this paper, we propose a framework, called PSearch, for semantic annotated process models discovery. Given a user query formulated as a process model, Psearch uses a fast search technique that returns a ranked list of similar models in the repository. In a second step, a fine-grained matching method can be applied between the query and one or several matching candidates.
Published Version
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