The Pegasus heterogeneous multidatabase system

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

doi:10.1109/2.116885

Cited by 172 publications

(55 citation statements)

References 5 publications

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“…The integration of information from multiple databases has been an enduring subject of research for over twenty years (for example, [16,7,10,5,21,27,26,2,11]). Indeed, while the solutions that have been advanced tended to reflect the research approaches prevailing at their time, the overall goal has remained mostly unchanged: to provide flexible and efficient access to information residing in a collection of distributed, heterogeneous and overlapping databases (more generally, other kinds of information sources may be considered as well).…”

Section: Introductionmentioning

confidence: 99%

Autoplex: Automated Discovery of Content for Virtual Databases

Berlin

Motro

2001

Cooperative Information Systems

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Abstract. Most virtual database systems are suitable for environments in which the set of member information sources is small and stable. Consequently, present virtual database systems do not scale up very well. The main reason is the complexity and cost of incorporating new information sources into the virtual database. In this paper we describe a system, called Autoplex, which uses machine learning techniques for automating the discovery of new content for virtual database systems. Autoplex assumes that several information sources have already been incorporated ("mapped") into the virtual database system by human experts (as done in standard virtual database systems). Autoplex learns the features of these examples. It then applies this knowledge to new candidate sources, trying to infer views that "resemble" the examples. In this paper we report initial results from the Autoplex project.

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Section: Introductionmentioning

confidence: 99%

Autoplex: Automated Discovery of Content for Virtual Databases

Berlin

Motro

2001

Cooperative Information Systems

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“…More recently, the same strategy has been employed for systems adopting object-oriented data models (e.g. Pegasus [22] based on the IRIS data model), frame-based knowledge representation languages (e.g. SIMS [17] using LOOM), as well as logic-based languages (e.g.…”

Section: Different Mediation Strategiesmentioning

confidence: 99%

Financial Information Mediation: A Case Study of Standards Integration for Electronic Bill Presentment and Payment Using the COIN Mediation Technology

Jayasena

Bressan

Madnick

2005

Technologies for E-Services

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-Each player in the financial industry, each bank, stock exchange, government agency, or insurance company operates its own financial information system or systems. 1 By its very nature, financial information, like the money that it represents, changes hands. Therefore the interoperation of financial information systems is the cornerstone of the financial services they support. E-services frameworks such as web services are an unprecedented opportunity for the flexible interoperation of financial systems. Naturally the critical economic role and the complexity of financial information led to the development of various standards. Yet standards alone are not the panacea: different groups of players use different standards or different interpretations of the same standard.We believe that the solution lies in the convergence of flexible E-services such as web-services and semantically rich meta-data as promised by the semantic Web; then a mediation architecture can be used for the documentation, identification, and resolution of semantic conflicts arising from the interoperation of heterogeneous financial services.In this paper we illustrate the nature of the problem in the Electronic Bill Presentment and Payment (EBPP) industry and the viability of the solution we propose. We describe and analyze the integration of services using four different formats: the IFX, OFX and SWIFT standards, and an example proprietary format. To accomplish this integration we use the COntext INterchange (COIN) framework. The COIN architecture leverages a model of sources and receivers' contexts in reference to a rich domain model or ontology for the description and resolution of semantic heterogeneity.

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“…A number of contemporary systems (e.g., Pegasus [Ahmed et al 1991], the ECRC Multidatabase Project [Jonker and Schütz 1995], SIMS [Arens and Knoblock 1992], and DISCO [Tomasic et al 1995]) have attempted to rejuvenate the loose-or tight-coupling approach through the adoption of an object-oriented formalism. For loosely coupled systems, this has led to more expressive data transformation (e.g., 0*SQL [Litwin 1992]); in the case of tightly coupled systems, this helps to mitigate the effects of complexity in schema creation and change management through the use of abstraction and encapsulation mechanisms.…”

Section: Acm Transactions On Informationmentioning

confidence: 99%

Context Interchange: Using Knowledge About Data to Integrate Disparate Sources.

Madnick¹,

Siegel²

1999

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The Pegasus heterogeneous multidatabase system

Cited by 172 publications

References 5 publications

Autoplex: Automated Discovery of Content for Virtual Databases

Autoplex: Automated Discovery of Content for Virtual Databases

Financial Information Mediation: A Case Study of Standards Integration for Electronic Bill Presentment and Payment Using the COIN Mediation Technology

Context Interchange: Using Knowledge About Data to Integrate Disparate Sources.

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