To integrate information, data in different formats, from different, potentially overlapping sources, must be related and transformed to meet the users’ needs. Ten years ago, Clio introduced nonprocedural schema mappings to describe the relationship between data in heterogeneous schemas. This enabled powerful tools for mapping discovery and integration code generation, greatly simplifying the i...

In a multiple database system, a global schema created by integrating schemas of the component databases provides a uniform interface and high level location transparency for the users to retrieve data. The main problem for constructing a global schema is to resolve connicts among component schemas. In this paper, we deene corresponding assertions for the database administrators to specify the ...

Generating Web site schema is a core step for value-added services on the web such as comparative shopping and information integration systems. Several approaches have been developed to detect this schema. For a real web site, due to the complexity of the site schema, post process of this schema such as labeling the schema types, comparing among different schema types and generating an extracto...

Today schema matching is a basic problem in almost every data intensive distributed application, namely enterprise information integration, collaborating web services, ontology based agents communication, web catalogue integration and schema based P2P database systems. There has been a plethora of algorithms and techniques researched in schema matching and integration for data interoperability....

Schema-based data transformation and integration (DTI) has been an active research area for some time, while more recent advances in ontologies have led to significant research in ontology-based DTI. These two approaches present some overlaps and some differences, and in this paper we investigate possible synergies between them. In particular, we show how ontologies can enhance schema-based DTI...

As a fundamental problem of data management and application technology, schema matching has aroused the universal concern of the academic circles worldwide in recent years. In order to deepen the understandings of schema matching between spatial data and to identify its uses, the documentation method is adopted in this paper to firstly summarize and describe the foundation position and guidance...

Today schema matching is a basic problem in almost every data intensive distributed application, namely enterprise information integration, collaborating web services, ontology based agents communication, web catalogue integration and schema based P2P database systems. There has been a plethora of algorithms and techniques researched in schema matching and integration for data interoperability....

To integrate data from disparate, heterogeneous information sources in an open environment, data-integration systems demand a resolution of several major issues: (1) heterogeneity, (2) scalability, (3) continual infusion and change of local information sources, (4) query processing complexity, and (5) global schema evolution. Although several data-integration systems have been proposed to addre...

Schema integration as part of the database design as well as of the database integration process has to deal with extensional relationships among classes of the di erent schemata to be integrated. As a rule, the extensional relationships must be speci ed by the database designer. Partially, some relationships may also be derived from other relationships. Most existing schema integration approac...

In heterogeneous data warehousing environments, autonomous data sources are integrated into a materialised integrated database. The schemas of the data sources and the integrated database may be expressed in different modelling languages. It is possible for either the data source schemas or the warehouse schema to evolve. This evolution may include evolution of the schema, or evolution of the m...