Ontological Description and Similarity-Based Discovery of Business Process Models

Author:

Belhajjame Khalid1,Brambilla Marco2

Affiliation:

1. University of Manchester, UK

2. Politecnico di Milano, Italy

Abstract

Project repositories are a central asset in software development, as they preserve the knowledge gathered in past development activities. Locating relevant information in a vast project repository is problematic, because it requires manually tagging projects with accurate metadata, an activity which is time consuming and prone to errors and omissions. Just like any other artifact or web service, business processes can be stored in repositories to be shared and used by third parties, e.g., as building blocks for constructing new business processes. The success of such a paradigm depends partly on the availability of effective search tools to locate business processes that are relevant to the user purposes. A handful of researchers have investigated the problem of business process discovery using as input syntactical and structural information that describes business processes. This work explores an additional source of information encoded in the form of annotations that semantically describe business processes. Business processes can be semantically described using the so called abstract business processes. These are designated by concepts from an ontology which additionally captures their relationships. This ontology can be built in an automatic fashion from a collection of (concrete) business processes, and this work illustrates how it can be refined by domain experts and used in the discovery of business processes, with the purpose of reuse and increase in design productivity.

Publisher

IGI Global

Subject

Management of Technology and Innovation,Information Systems

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Textual and Content-Based Search in Repositories of Web Application Models;ACM Transactions on the Web;2014-03

2. Service Discovery with Cost Thresholds;Lecture Notes in Computer Science;2013

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