Authors:
Henning Agt-Rickauer
1
;
Ralf-Detlef Kutsche
2
and
Harald Sack
3
Affiliations:
1
University of Potsdam, Germany
;
2
Technische Universität Berlin, Germany
;
3
Karlsruhe Institute of Technology (KIT), Germany
Keyword(s):
Domain Modeling, Recommender System, Information Extraction, Knowledge-based Modeling.
Related
Ontology
Subjects/Areas/Topics:
Domain-Specific Modeling and Domain-Specific Languages
;
Frameworks for Model-Driven Development
;
Languages, Tools and Architectures
;
MetaModeling
;
Methodologies, Processes and Platforms
;
Model-Driven Software Development
;
Models
;
Paradigm Trends
;
Software Engineering
;
Syntax and Semantics of Modeling Languages
Abstract:
Domain modeling is an important activity in early phases of software projects to achieve a shared understanding
of the problem field among project participants. Domain models describe concepts and relations of
respective application fields using a modeling language and domain-specific terms. Detailed knowledge of the
domain as well as expertise in model-driven development is required for software engineers to create these
models. This paper describes DoMoRe, a system for automated modeling recommendations to support the
domain modeling process. We describe an approach in which modeling benefits from formalized knowledge
sources and information extraction from text. The system incorporates a large network of semantically related
terms built from natural language data sets integrated with mediator-based knowledge base querying in
a single recommender system to provide context-sensitive suggestions of model elements.