Showing papers on "Ontology-based data integration published in 1993"

Model integration and a theory of models

Abstract: Model integration extends the scope of model management to include the dimension of manipulation as well. This invariably leads to comparisons with database theory. Model integration is viewed from four perspectives: Organizational, definitional, procedural, and implementational. Strategic modeling is discussed as the organizational motivation for model integration. Schema and process integration are examined as the logical and manipulation counterparts of model integration corresponding to data definition and manipulation, respectively. A model manipulation language based on structured modeling and communicating structured models is suggested which incorporates schema and process integration. The use of object-oriented concepts for designing and implementing integrated modeling environments is discussed. Model integration is projected as the springboard for building a theory of models equivalent in power to relational theory in the database community.

A knowledge-based approach to integration of image processing procedures

Abstract: This paper deals with the integration of image processing procedures. Three kinds of integration are distinguished: physical, syntactical, and semantic integration. The notion of semantic integration of programs is developed here; in this kind of integration, the function of the programs and how to optimize their utilization are made explicit. After a short presentation of several recently developed systems performing semantic integration of programs, we describe how we model knowledge and reasoning in our system named OCAPI. OCAPI and the previously presented systems are compared according to the concepts used in integration of programs. Two examples of use of OCAPI are shown: first an overview of the integration of a stereovisual process is presented; then the integration of a system for the morphological description of galaxies is detailed.

Unifying heterogeneous distributed clinical data in a relational database.

Abstract: Access to clinical data which are distributed among multiple satellite information systems is crucial to delivering better care and reducing costs in many hospitals and medical centers. An integrated view of these data is needed to reduce the effort of users requiring data from multiple systems. We have addressed the issue of distributed data integration while developing both production and research decision-support applications. We describe an ideal integration solution, obstacles to realizing this solution, and our integration requirements and architecture. Our focus is a description of our specific schema and data integration techniques. We conclude with an analysis of our approach.

Structural Integration: Concepts and Case Study

Abstract: When integrating the views of a large telecomunications application database at Bellcore, it was found that some pairs of view objects had significant structural similarities but differed semantically.+ This observation motivated the design of the structural integration methodology described in this article. Currently existing view and schema integration methodologies are based on semantic considerations. They allow integration only if two objects agree in their semantic and structural aspects. Structural integration permits the integration of objects even if they differ semantically. This article introduces structural integration for the case of full structural correspondence. We further develop an important special case, namely structural integration for classes with attribute partial correspondence. We use a subschema of the telecommunications application to demonstrate the applicability of structural integration to situations involving the complexities of real-world databases and applications. Algorithms for checking full structural correspondence of classes and databases are presented. Structural integration has several advantages, including the identification of shared common structures that are important for sharing of data and methods.