作者: Daniela Grigori , Ahmed Gater
DOI: 10.1007/S11761-017-0212-2
关键词: Semantic web services 、 Process modeling 、 Matching (statistics) 、 Process (engineering) 、 Information system 、 User needs 、 Nearest neighbor search 、 Service (systems architecture) 、 Information retrieval 、 Computer 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.