Methods and tools for equivalent data model mapping construction

Kalinichenko, Leonid A.

doi:10.1007/bfb0022166

Cited by 31 publications

(18 citation statements)

References 9 publications

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“…Creating mediated schema: Most of the previous work on automatically creating mediated schemas focused on the theoretical analysis of the semantics of merging schemas and the choices that need to be made in the process [3,6,15,17,22,25]. The goal of these work was to make as many decisions automatically as possible, but where some ambiguity arises, refer to input from a designer.…”

Section: Related Workmentioning

confidence: 99%

Bootstrapping pay-as-you-go data integration systems

Sarma

Dong

Halevy

2008

Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data

175

156

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Data integration systems offer a uniform interface to a set of data sources. Despite recent progress, setting up and maintaining a data integration application still requires significant upfront effort of creating a mediated schema and semantic mappings from the data sources to the mediated schema. Many application contexts involving multiple data sources (e.g., the web, personal information management, enterprise intranets) do not require full integration in order to provide useful services, motivating a pay-as-you-go approach to integration. With that approach, a system starts with very few (or inaccurate) semantic mappings and these mappings are improved over time as deemed necessary.This paper describes the first completely self-configuring data integration system. The goal of our work is to investigate how advanced of a starting point we can provide a pay-as-you-go system. Our system is based on the new concept of a probabilistic mediated schema that is automatically created from the data sources. We automatically create probabilistic schema mappings between the sources and the mediated schema. We describe experiments in multiple domains, including 50-800 data sources, and show that our system is able to produce high-quality answers with no human intervention.

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Section: Related Workmentioning

confidence: 99%

Bootstrapping pay-as-you-go data integration systems

Sarma

Dong

Halevy

2008

Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data

175

156

View full text Add to dashboard Cite

show abstract

“…There has been quite a bit of work on automatically creating mediated schemas that focused on the theoretical analysis of the semantics of merging schemas and the choices that need to be made in the process (Batini et al, 1986;Buneman et al, 1992;Hull, 1984;Kalinichenko, 1990;Miller et al, 1993;Pottinger and Bernstein, 2002). The goal of these works was to make as many decisions automatically as possible, but where some ambiguity arises, refer to input from a designer.…”

Section: Other Approachesmentioning

confidence: 99%

Uncertainty in Data Integration and Dataspace Support Platforms

Sarma

Dong

Halevy

2010

Schema Matching and Mapping

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Data integration has been an important area of research for several years. However, such systems suffer from one of the main drawbacks of database systems: the need to invest significant modeling effort upfront. Dataspace Support Platforms (DSSP) envision a system that offers useful services on its data without any setup effort, and improve with time in a pay-as-you-go fashion. We argue that in order to support DSSPs, the system needs to model uncertainty at its core. We describe the concepts of probabilistic mediated schemas and probabilistic mappings as enabling concepts for DSSPs.

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“…The basic definitions of equivalence of database states, database schemas and data models were introduced to preserve operations and information while constructing of mappings of various structured data models into the canonical one [11], [12]. According to this approach, each data model was defined by syntax and semantics of two languages -data definition language (DDL) and data manipulation language (DML).…”

Section: Introductionmentioning

confidence: 99%

“…The main principle of mapping of an arbitrary source data model into the target one (the canonical model) constituted the principle of commutative data model mapping . According to it preserving of operations and information of a source data model while mapping it into the canonical one could be reached under the condition, that the diagram of DDL (schemas) mapping and diagram of DML (operators) mapping are commutative [12]. At that time in the process of data model mappings construction the denotational semantics was used as a formalism (metamodel), allowing to prove a commutativity of the diagrams mentioned [12].…”

Section: Introductionmentioning

confidence: 99%

Extensible Canonical Process Model Synthesis Applying Formal Interpretation

Kalinichenko

Stupnikov

Zemtsov

2005

Advances in Databases and Information Systems

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Abstract. The current period of IT development is characterized by an explosive growth of diverse information representation languages. Applying integration and composition of heterogeneous information components it is required to develop the canonical information model serving for adequate expression of semantics of various information models used in the environment encompassing required heterogeneous components. Basic principles of the canonical model synthesis include fixing of its kernel, constructing the kernel extensions for each specific information model of the environment so that this extension together with the kernel could be refined by this information model, and forming the canonical model as a union of all such extensions. Previously these principles have been successfully applied to the synthesis of structural and object canonical models. This paper 1 applies this technique to synthesis of the process canonical model. The method proposed is based on interpretation of process model semantics in logics, and specifically, in the Abstract Machine Notation that made possible to construct provable refinements of process specifications. This method has been applied to the environment of process models defined by workflow patterns classified by W.M.P. van der Aalst. Thus the canonical process model synthesized possesses a property of completeness with respect to broad class of process models used in various Workflow Management Systems as well as the languages used for process composition of Web services.

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Methods and tools for equivalent data model mapping construction

Cited by 31 publications

References 9 publications

Bootstrapping pay-as-you-go data integration systems

Bootstrapping pay-as-you-go data integration systems

Uncertainty in Data Integration and Dataspace Support Platforms

Extensible Canonical Process Model Synthesis Applying Formal Interpretation

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