PSearch: a framework for semantic annotated process model search

作者: Daniela Grigori , Ahmed Gater

DOI: 10.1007/S11761-017-0212-2

关键词: Semantic web servicesProcess modelingMatching (statistics)Process (engineering)Information systemUser needsNearest neighbor searchService (systems architecture)Information retrievalComputer science

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

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