• Semantic interoperability: unlike the above two types of interoperability which are concerned with the form (structured description) at the integration interface, semantic interoperability represents design intent and predicted behavior as well as form (structured description) of the shared entities. It assumes that different information sources store information on related issues but each ma...

OBJECTIVE Semantic interoperability of the Electronic Health Record (EHR) requires a rigorous and precise modelling of clinical information. Our objective is to facilitate the representation of clinical facts based on formal principles. METHODS We here explore the potential of ontology content patterns, which are grounded on a formal and semantically rich ontology model and can be specialised...

This paper presents an approach to achieve User Model (UM) interoperability exploiting Web Service technologies for syntactic interoperability, and Semantic Web languages for semantic interoperability, together with negotiation techniques based on dialogue. We propose a SOA-based framework where a central UDDI registry, enhanced with UM specific capabilities, is used to support and promote the ...

Thought interoperability has been gaining in importance and become an essential issue within the Semantic Web community, the main challenge of interoperability and data integration is still ontology matching. With this in mind, we wish to contribute to the enhancement of (semantic) interoperability by supporting the ontology matching issue; we propose an evaluation framework for matching approa...

Interoperability. This is concerned with finding solutions to the problem of heterogeneity. As information systems become more distributed and open to serve the needs of an ever increasing distributed IT environment, heterogeneity, which is naturally inherited in independently constructed information systems, comes across as an obstacle. The crux of the problem with heterogeneity is that it imp...

Over the course of the week, one of the questions that came up repeatedly was: “what kind of infrastructure would be needed to support semantic interoperability and integration of systems”? It was widely assumed that semantics would be used for enabling translation and improving interoperability. However, it was not well understood how semantics or semantic mappings were to be shared. The emerg...

Semantic Integration/Interoperability of heterogeneous data sources offers several key features. These characteristics include the following: publication of the data source's semantics, expressive query capabilities (viz. semantic queries), dynamic integration of data sources, interoperability between semantic integration systems that cooperate in the same or in different application domains, e...

representation techniques. T he World Wide Web is possible because a set of widely established standards guarantees interoperability at various levels. Until now, the Web has been designed for direct human processing, but the next-generation Web, which Tim Berners-Lee and others call the “Semantic Web,” aims at machine-processible information.1 The Semantic Web will enable intelligent services—...

In this paper, ontology technology is applied to Supply Chain information integration, in order to provide unified interface for semantic data and to share, reuse knowledge among information resources. Ontology can solve well the semantic heterogeneity problem of distributed, heterogeneous and autonomous data sources; and the problem of semantic interoperability. Since the objects on Supply Cha...