Interactive Discovery and Composition of Complex Web Services

Stupnikov, Sergey A.; Kalinichenko, Leonid A.; Bressan, Stéphane

doi:10.1007/11827252_18

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…The kernel of this model is a hybrid object-oriented/frame-based information model. Method and tools for semantic mapping of the kernel into the AMN are provided [31]. For any source model a mapping into an extension of the canonical model is defined.…”

Section: Introductionmentioning

confidence: 99%

Canonical Model

Manukyan

2014

Proceedings of the 16th International Conference on Information Integration and Web-Based Applications &Amp; Services

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Within the frame of an approach to information integration an extensible canonical model is created. A principle of kernel extension of canonical model is proposed. In order to create the justifiable data model mapping for heterogeneous databases integration, concept of data model has been formalized by means of the AMN (Abstract Machine Notation) formalism. For each source model we create a reversible mapping into an extension of the canonical model. The Btechnology is used to prove that the AMN semantics of the source model represents a refinement of the AMN semantics of the extended canonical model. Hereby, the correctness of mapping and the ability to use extended canonical model for representation of the source model schemas are proved. AMN-machines for the canonical and relational data models and relational refinement of the canonical model have been created.

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Section: Introductionmentioning

confidence: 99%

Canonical Model

Manukyan

2014

Proceedings of the 16th International Conference on Information Integration and Web-Based Applications &Amp; Services

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“…Another existing methods (e.g., used in Clio project (Haas, 2005)) supporting generation of mappings (queries) between source and target schemas are applicable to limited class of structured data models and do not allow to create an application specifications providing for registration of various kinds of relevant sources (including objects, services, processes). On the contrary, our canonical data model synthesis method provides a seminal role for synthesis of canonical models for various kinds of source information models including process models (Kalinichenko, 2005), service models (Stupnikov, 2006), ontological models .…”

Section: Modelsmentioning

confidence: 99%

MEDIATION FRAMEWORK FOR ENTERPRISE INFORMATION SYSTEM INFRASTRUCTURES: - Application-driven Approach

Kalinichenko¹,

Briukhov²,

Martynov³

et al. 2007

Proceedings of the Ninth International Conference on Enterprise Information Systems

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Abstract:This position paper provides a short summary of results obtained so far on an application-driven approach for mediation-based EIS development. This approach has significant advantages over the conventional, information source driven approach. Basic methods for the application-driven approach are discussed including synthesis methods of canonical information models, unifying languages of various kinds of heterogeneous information sources in one extensible model, methods of identification of sources relevant to an application and their registration at the mediator applying GLAV techniques as well as ontological contexts reconciliation methods. Methodology of EIS application development according to the approach is briefly discussed emphasizing importance of a mediator consolidation phase by the respective community, application problem formulations in canonical model and their rewriting into the requests to the registered information sources. The technique presented is planned to be used in various EIS and information systems.

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Semantics and Verification of Entity Resolution and Data Fusion Operations via Transformation into a Formal Notation

Stupnikov

2017

Communications in Computer and Information Science

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Interactive Discovery and Composition of Complex Web Services

Cited by 4 publications

References 11 publications

Canonical Model

Canonical Model

MEDIATION FRAMEWORK FOR ENTERPRISE INFORMATION SYSTEM INFRASTRUCTURES: - Application-driven Approach

Semantics and Verification of Entity Resolution and Data Fusion Operations via Transformation into a Formal Notation

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