Multidatabase management in Pegasus

Rafii, Abbas; Ahmed, Rafi; DeSmedt, P.; Kent, Bill; Ketabchi, Mohammad A.; Litwin, Witold; Shan, Ming-Chien

doi:10.1109/ims.1991.153700

Cited by 12 publications

(3 citation statements)

References 7 publications

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“…Each DBS still exists, and especially existing applications are not affected. Research in the field of federated DBSs has brought up several prototypes (e.g., Rafii et al (1991), Busse et al (1994), Kuno and Rundensteiner (1996)) and results (Kambayashi et al (1991), IMS (1993)) that tackle fundamental problems such as global transaction management and query processing. Several papers describe integration methodologies (Reddy et al (1994) or Schmitt and Saake (1996)) and languages for view definitions (Kaul et al (1990)).…”

Section: Introductionmentioning

confidence: 99%

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A Generative Approach for Building Database Federations

Hohenstein¹

1999

AJIS

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A comprehensive, specification-based approach for building database federations is introduced that supports an integrated ODMG2.0 conforming access to heterogeneous data sources seamlessly done in C++. The approach is centered around several generators. A first set of generators produce ODMG adapters for local sources in order to homogenize them. Each adapter represents an ODMG view and supports the ODMG manipulation and querying. The adapters can be plugged into a federation framework. Another generator produces an homogeneous and uniform view by putting an ODMG conforming federation layer on top of the adapters. Input to these generators are schema specifications. Schemata are defined in corresponding specification languages. There are languages to homogenize relational and object-oriented databases, as well as ordinary file systems. Any specification defines an ODMG schema and relates it to an existing data source. An integration language is then used to integrate the schemata and to build system-spanning federated views thereupon. The generative nature provides flexibility with respect to schema modification of component databases. Any time a schema changes, only the specification has to be adopted; new adapters are generated automatically.

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Section: Introductionmentioning

confidence: 99%

“…1. Only few approaches such as Pegasus (Rafii et al (1991)) incorporate object-oriented systems, and if they do, they use an own system instead of arbitrary commercial ones. IRO-DB from Busse et al (1994) is one exception as it incorporates the commercial systems O 2 and Ontos.…”

Section: Introductionmentioning

confidence: 99%

A Generative Approach for Building Database Federations

Hohenstein¹

1999

AJIS

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“…The area of interoperability of heterogeneous DBSs (sometimes called federation, integration or multidatabases) [LMR90, ShL90, KRS91, HNS92, IMS93] attempts to resolve this problem. Prototypes like [RAD+91,FaM93] provide a unified and consistent view of data stored in several local databases. A corresponding uniform interface hides syntactic and semantic heterogeneities, which essentially concern data models, query languages, etc.…”

Section: Introductionmentioning

confidence: 99%

A graphical tool for specifying semantic enrichment of relational databases

Hohenstein

Körner

1997

Database Applications Semantics

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Interoperability is a recent technology that meets the needs of new applications requiring access to several heterogeneous databases. In this context, it is important to detect the meaning of data in the various databases. Semantic enrichment is a process that makes inherent semantics explicit by transforming database schemas into a higher data model. Expressive modeling concepts, like relationships and subtypes, are applied to express data semantics.This work presents a powerful graphical approach to semantic enrichment of relational databases. An object-oriented data model is used to this end. Hence relational database schemas are transformed into object-oriented ones, thereby upgrading the semantic level by using object-oriented concepts extensively. In contrast to other approaches, semantic enrichment must explicitly be specified: Rules describe how object types and relationships between them are derived from relational tables. Data semantics can be expressed precisely. A graphical specification language for such rules allows remodeling of even complex relational situations in an intuitive, incremental, and concise manner. Given an enrichment specification, a complete database interface is generated that provides an object-oriented access to relational data. Access methods are automatically implemented on top of the relational system.

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Federation and stepwise reduction of database systems

Radeke¹,

Scholl

1994

Lecture Notes in Computer Science

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Multidatabase management in Pegasus

Cited by 12 publications

References 7 publications

A Generative Approach for Building Database Federations

A Generative Approach for Building Database Federations

A graphical tool for specifying semantic enrichment of relational databases

Federation and stepwise reduction of database systems

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