01808nas a2200181 4500000000100000000000100001008004100002260000900043653003900052653005100091653001300142100001900155700002000174245010800194300001000302490000700312520130700319 2007 d c200710aArchitecture for Model Integration10aDistributed Technical Knowledge Representation10aOntology1 aTobias Lehmann1 aAndreas Karcher00aOntologies and Semantic Web Technologies to Support Knowledge-Based Transformation and Decision Support a49-630 v223 a
This article describes how semantic web technologies and here ontologies in particular, can support multinational and multi-agency knowledge representation. To this end, model integration and the typically associated with integration problem classes are described. Then, distributed modeling is presented from expert and standard-models perspective, as well as general clustering of common concepts is presented. This is achieved by means of inheritance as known from Object-Oriented Knowledge Representation Systems, used at different levels of abstraction. In addition to the integration facet, new standard languages for the definition of flexible and context-dependent structures, as well as reasoning over these, are briefly introduced and examples of their application are given. As the focal point of this work a Framework for the generic Integration of Structured IT Systems (ISITS) is described, which makes possible the structural and instance integration of systems, using both syntactic as well as semantic means for integration. In conclusion, the applicability of the ISITS-Framework is outlined by enabling EBO-specific planning support. This article focuses more on providing an overview. Details can be found in other publications or projects published by the authors.