Modular Domain Specific Languages and Tools
ICSR '98 Proceedings of the 5th International Conference on Software Reuse
Model-Driven Development: A Metamodeling Foundation
IEEE Software
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Ontology based object-oriented domain modelling: fundamental concepts
Requirements Engineering
When and how to develop domain-specific languages
ACM Computing Surveys (CSUR)
Model Driven Architecture and Ontology Development
Model Driven Architecture and Ontology Development
Domain-Specific Modeling
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Open information extraction from the web
Communications of the ACM - Surviving the data deluge
Software Language Engineering: Creating Domain-Specific Languages Using Metamodels
Software Language Engineering: Creating Domain-Specific Languages Using Metamodels
Introduction to Information Visualization
Introduction to Information Visualization
Using Ontologies in the Domain Analysis of Domain-Specific Languages
Models in Software Engineering
On Ontology, ontologies, Conceptualizations, Modeling Languages, and (Meta)Models
Proceedings of the 2007 conference on Databases and Information Systems IV: Selected Papers from the Seventh International Baltic Conference DB&IS'2006
An approach for the systematic development of domain-specific languages
Software—Practice & Experience
DBpedia: a nucleus for a web of open data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
From information to knowledge: harvesting entities and relationships from web sources
Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Domain Specific Languages
Editorial: Using ontologies with UML class-based modeling: The TwoUse approach
Data & Knowledge Engineering
Automatically suggesting topics for augmenting text documents
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Creating software models with semantic annotation
ESAIR '10 Proceedings of the third workshop on Exploiting semantic annotations in information retrieval
Bridging metamodels and ontologies in software engineering
Journal of Systems and Software
The theory and practice of modern modeling language design for model-based software engineering
Proceedings of the tenth international conference on Aspect-oriented software development companion
Automated transition from use cases to UML state machines to support state-based testing
ECMFA'11 Proceedings of the 7th European conference on Modelling foundations and applications
Process model generation from natural language text
CAiSE'11 Proceedings of the 23rd international conference on Advanced information systems engineering
Guidance for domain specific modeling in small and medium enterprises
Proceedings of the compilation of the co-located workshops on DSM'11, TMC'11, AGERE!'11, AOOPES'11, NEAT'11, & VMIL'11
Joint language and domain engineering
ECMFA'10 Proceedings of the 6th European conference on Modelling Foundations and Applications
Automated construction of a large semantic network of related terms for domain-specific modeling
CAiSE'13 Proceedings of the 25th international conference on Advanced Information Systems Engineering
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In model-driven engineering, domain-specific languages (DSLs) play an important role in providing well-defined environments for modeling different aspects of a system. Detailed knowledge of the application domain as well as expertise in language engineering is required to create new languages. This research work proposes automated knowledge acquisition to support language engineers in early language development phases. We describe an iterative approach in which DSL development benefits from formalized knowledge sources and information extraction from text supporting domain analysis and metamodel construction. We show how the acquired knowledge is used to guide language engineers and how knowledge acquisition is adapted according to modeling decisions.