A model-driven approach for deploying trading-based knowledge representation systems

Authors:
José-Andrés Asensio;Luis Iribarne;Nicolás Padilla;Cristina Vicente-Chicote
Affiliations:
Applied Computing Group, University of Almería, Spain;Applied Computing Group, University of Almería, Spain;Applied Computing Group, University of Almería, Spain;Department of Information and Communication Technologies, Technical University of Cartagena, Spain
Venue:
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems
Year:
2011

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Abstract

Trading services are well-known solutions in Software Engineering for solving the interoperability and integration of software components and Information Systems (IS). This paper presents a Model-Driven Engineering (MDE) approach aimed to help designing and deploying Trading-Based Knowledge Representation (TKR) Systems, a subset of Management Information Systems (MIS). For this purpose, we have defined a set of modeling languages and supporting tools enabling: (a) the description of platform-independent TKR System architectures; (b) the high-level description of different deployment platforms; and (c) the creation of configuration models relating the two previous ones. These configuration models are then used as an input to a model-to-text transformation that generates the final TKR System implementation (code) from the selected platform. In order to demonstrate the feasibility and benefits of the proposed approach we also present a case study applied to an Environmental Management Information System (EMIS).