Integrating ontological domain knowledge into a robotic DSL

  • Authors:
  • Gaëlle Lortal;Saadia Dhouib;Sébastien Gérard

  • Affiliations:
  • Decision Technologies and Mathematics Lab., Palaiseau cedex France;CEA LIST, Laboratoire d'Ingénierie dirigée par les modèles pour les Systèmes Embarqués, Gif-sur-Yvette, France;CEA LIST, Laboratoire d'Ingénierie dirigée par les modèles pour les Systèmes Embarqués, Gif-sur-Yvette, France

  • Venue:
  • MODELS'10 Proceedings of the 2010 international conference on Models in software engineering
  • Year:
  • 2010

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Abstract

Coming from the Artificial Intelligence (AI) and Semantic Web (SW) circles, ontologies are used mainly to represent domains. The Model Driven Engineering (MDE) field gave birth to Domain Specific Languages to represent a particular technical domain. Abstracting from their uses, we consider as many others researchers that ontologies and models are closer than their original fields could get to think. Furthermore, their building or development are facing the same problems. They are costly and need experts' interviews in order to grasp specific knowledge and structure it. Likewise, ontologies and DSL can benefit from each other domains in reusing construction methodologies and even reusing knowledge modelled in another format. In this paper we first present the ontologies and DSL definition we use and some methodologies of development enabling the reuse of knowledge (as alignment, fusion). We then present how we propose to reuse the knowledge of a robotic ontology to develop robotic DSLs within the PROTEUS project in order to inject readymade domain information to the DSL.