A knowledge-based approach to manage information systems interoperability

被引:20
|
作者
Ralyte, Jolita [1 ]
Jeusfeld, Manfred A. [2 ]
Backlund, Per [3 ]
Kuehn, Harald [4 ]
Arni-Bloch, Nicolas [1 ]
机构
[1] Univ Geneva, CUI, CH-1211 Geneva 4, Switzerland
[2] Tilburg Univ, NL-5037 AB Tilburg, Netherlands
[3] Univ Skovde, SE-54128 Skovde, Sweden
[4] BOC Informat Syst GmbH, A-1010 Vienna, Austria
基金
瑞士国家科学基金会;
关键词
interoperability; Situational Method Engineering; method chunk; knowledge base; Interoperability Classification Framework; method repository;
D O I
10.1016/j.is.2008.01.008
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Interoperability is a key property of enterprise applications, which is hard to achieve due to the large number of interoperating components and semantic heterogeneity. The inherent complexity of interoperability problems implies that there exists no silver bullet to solve them. Rather, the knowledge about how to solve wicked interoperability problems is hidden ill the application cases that expose those problems. The paper addresses the question of how to organise and use method knowledge to resolve interoperability problems. We propose the structure of a knowledge-based system that call deliver situation-specific Solutions, called method chunks. Situational Method Engineering promotes modularisation and formalisation of method knowledge in the form of reusable method Chunks, which can be combined to compose a situation-specific method. The method chunks are stored in a method chunk repository. In order to cater for management and retrieval, we introduce an Interoperability Classification Framework, which is used to classify and tag method chunks and to assess the project situation in which they are to be used. The classification framework incorporates technical as well as business and organisational aspects of interoperability. This is an important feature as interoperability problems typically are multifaceted spanning multiple aspects. We have applied the approach to analyse an industry case from the insurance sector to identify and classify a set of method Chunks. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:754 / 784
页数:31
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