An ontology-based semantic configuration approach to constructing Data as a Service for enterprises. Issue 3 (23rd March 2016)

• Record Type: Journal Article
• Authors: Cai, Hongming; Xie, Cheng; Jiang, Lihong; Fang, Lu; Huang, Chenxi
• Is Part Of: Enterprise information systems. Volume 10:Issue 3(2016)
• Page Start: 325
• Page End: 348
• Publication Date: 2016-03-23
• Subjects: Design enterprise application -- Data as a Service -- resource-oriented architecture -- domain ontology -- business modelling -- semantic configuration -- RESTful services; Information storage and retrieval systems -- Periodicals; Management information systems -- Periodicals; Electronic commerce -- Periodicals; 658.4038011
• DOI: 10.1080/17517575.2015.1070916
• Languages: English
• ISSNs: 1751-7575

Abstract

Abstract: To align business strategies with IT systems, enterprises should rapidly implement new applications based on existing information with complex associations to adapt to the continually changing external business environment. Thus, Data as a Service (DaaS) has become an enabling technology for enterprise through information integration and the configuration of existing distributed enterprise systems and heterogonous data sources. However, business modelling, system configuration and model alignment face challenges at the design and execution stages. To provide a comprehensive solution to facilitate data-centric application design in a highly complex and large-scale situation, a configurable ontology-based service integrated platform (COSIP) is proposed to support business modelling, system configuration and execution management. First, a meta-resource model is constructed and used to describe and encapsulate information resources by way of multi-view business modelling. Then, based on ontologies, three semantic configuration patterns, namely composite resource configuration, business scene configuration and runtime environment configuration, are designed to systematically connect business goals with executable applications. Finally, a software architecture based on model-view-controller (MVC) is provided and used to assemble components for software implementation. The result of the case study demonstrates that the proposed approach provides a flexible method of implementing data-centric applications.