Semantic web technologies for enterprise application integration

Abstract

Large industrial interoperability projects use syntax-based Enterprise Application Integration standards, such as XML Schema, to accomplish interoperable data exchange among enterprise applications. In this paper, we describe an approach to assess the potential impact of Semantic Web technologies on these standards and on testability of integration results when using these standards. The experimental approach includes an automated translation of an XML Schema-based representation of business document content models into an OWL-based ontology. Based on this ontology, we use the Semantic Web representation and reasoning mechanisms to validate ontological constructs and constraints in support of data exchange. We demonstrate novel model-based integration capabilities that go beyond the existing syntax-based approaches. These new capabilities are relevant when managing multiple enterprise ontologies derived from a common ontology.

A survey and analysis of electronic business document standards

“…In Anicic [2005], semantic Web technologies are used to transform documents between two vertical industry standards both based on OAGIS: one conforming to…”

Semantic interoperability for automated enterprises

“…For example, to support enterprise collaboration, semantic integration among enterprise applications has been presented. Anicic and Ivezic (2005) proposes semantic metadata integration (Anicic and Ivezic 2005), and Jung (2012) exploits ontology matching scheme to discover semantic relatedness among resources from the enterprises.…”

Improved Accuracy Evaluation of Schema Matching Algorithms

“…An excellent semantic integration technique can be found in [19]. Schema matching can be applied in the same context.…”

“…Schema matching can be applied in the same context. In [19] authors propose a solution which is able to automatically translate XML schema representations of the business objects into OWL based ontology. Schema matching can be used to identify semantically related entities in the XML schemas, thus it can be applied even in those situations where highly diverse, heterogeneous schemas are to be integrated.…”