Ontology and schema matching are well established techniques, which have been applied in various integration scenarios, e.g., web service composition and database integration. Consequently, matching tools enabling automatic matching of various kinds of schemas are available. In the field of model-driven engineering, in contrast to schema and ontology integration, the integration of modeling lan...

This report presents a formal approach to support schema integration in object-oriented databases. The basis of the approach is a synthetic subclass order, which is deened in terms of a weak subtype relation on underlying types of classes and a subfunc-tion relation on functional forms of methods. Classes are identiied using an equivalence relation induced by the subclass order and factorised u...

Three themes are apparent in recent schema integration, evolution and versioning research. First, the need to reduce the number of schema changes that are necessary. The approach here has been to build into the conceptual and data models the scope to accommodate modest changes to definition. Second, research that aims to reuse the current schema definition through procedures that mask the chang...

An important issue in data integration is the integration of semantically equivalent but schematically heterogeneous data sources. Declarative mechanisms supporting powerful source restructuring for such databases have been proposed in the literature, such as the SQL extension SchemaSQL. However, the issue of incremental maintenance of views defined in such languages remains an open problem. We...

Over the last 25 years data integration has been a key issue in achieving systems interoperability, between heterogeneous data storage and management systems, because of the existence of system, schema, and semantic heterogeneity. This paper starts by examining the background to data integration by discussing why integration has remained such an issue, in terms of current rationale and drivers ...

Processing Queries and Merging Schemas in Support of Data Integration Rachel Amanda Pottinger Co-Chairs of the Supervisory Committee: Affiliate Professor Philip A. Bernstein Department of Computer Science and Engineering Associate Professor Alon Y. Halevy Department of Computer Science and Engineering The goal of data integration is to provide a uniform interface, called a mediated schema, to a...

Data integration is one of the main problems in distributed data sources. An approach is to provide an integrated mediated schema for various data sources. This research work aims at developing a framework for defining an integrated schema and querying on it. The basic idea is to employ recent standard languages and tools to provide a unified data integration framework. RDF is used for integrat...

One aspect of the vision of dataspaces has been articulated as providing various benefits of classical data integration with reduced up-front costs. In this paper, we present techniques that aim to support schema mapping specification through interaction with end users in a pay-as-you-go fashion. In particular, we show how schema mappings, that are obtained automatically using existing matching...

We present our work on semantically-enabled data and schema registration in the setting of a scientific data integration project: SESDI (Semantically-Enabled Scientific Data Integration), which aims initially to integrate heterogeneous volcanic and atmospheric chemical compound data in support of assessing the atmospheric effects of a volcanic eruption. We use semantic methods through out the p...