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Updated: Sep 2, 2025

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A framework for interoperability between models with hybrid tools.

Germán Braun1,2, Pablo Rubén Fillottrani3,4, C Maria Keet5

  • 1Universidad Nacional del Comahue, 1400 Buenos Aires, Argentina.

Journal of Intelligent Information Systems
|August 3, 2022
PubMed
Summary
This summary is machine-generated.

A new framework, FaCIL, enables semantic interoperability for hybrid conceptual modeling tools. It supports multiple modeling languages and user proficiencies, ensuring consistent semantics across diverse representations.

Keywords:
Conceptual modellingInformation systemsLogic-based reasoningOntologiesSemantic interoperability

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Area of Science:

  • Computer Science
  • Software Engineering
  • Data Modeling

Background:

  • Complex system development involves diverse models and user proficiencies, posing challenges for current tools.
  • Existing conceptual data modeling tools lack robust support for semantic interoperability across multiple model types and languages.
  • Ensuring consistent semantics in multi-model interactions requires clear specification, which is often missing.

Purpose of the Study:

  • To devise a mechanism supporting semantic interoperability in hybrid tools for multi-modal conceptual modeling.
  • To introduce FaCIL, a framework designed for hybrid modeling tools that unifies multiple modeling paradigms within a single system.
  • To ensure that interaction between multiple models in multiple languages is clearly specified and semantics are preserved.

Main Methods:

  • Developed FaCIL, a framework mapping Unified Modeling Language (UML), Entity-Relationship (ER), and Object-Role Modeling (ORM2) into a common metamodel.
  • Implemented rules within the metamodel for central management and linking to formalization and logic-based automated reasoning.
  • Designed FaCIL to support various editing workflows, maintain semantic integrity across different model formats, and facilitate interaction between visual and textual models.

Main Results:

  • FaCIL successfully maps UML, ER, and ORM2 into a common metamodel, preserving semantics across different representations.
  • The framework demonstrates a clear separation of concerns for conceptual modeling activities, enhancing interoperability and extensibility.
  • A proof-of-concept implementation in the crowd 2.0 web-based modeling tool validated FaCIL's viability and functionality.

Conclusions:

  • FaCIL provides a viable solution for semantic interoperability in hybrid conceptual modeling environments.
  • The framework effectively structures and facilitates interaction between diverse model representations, formal specifications, and abstractions.
  • FaCIL meets the identified requirements and fully supports the use case, demonstrating its practical applicability.