Proceedings of the HLT-NAACL 2003 Workshop on Software Engineering and Architecture of Language Technology Systems - SEALTS '0 2003
DOI: 10.3115/1119226.1119235
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Automatic creation of interface specifications from ontologies

Abstract: The paper presents a system architecture for the automatic generation of interface specifications from ontologies. 1 The ensuing interfaces (XML schema definitions) preserve a significant amount of the knowledge originally encoded in the ontology. The approach is relevant for the engineering of large-scale language technology systems. It has been successfully deployed in a complex multi-modal dialogue system SMARTKOM.

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Cited by 12 publications
(7 citation statements)
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“…Semantic models can serve a number of different purposes in this context. They can be used as application or interface models in modeldriven design, generation at design time as well as at runtime, and integration of UIs [1,3,4,7,8]. Ontologies may enhance the visualization and interaction capabilities of UIs in various ways, e.g., by providing input assistance, intelligently clustering information, or adapting the UI according to the user's context [9].…”
Section: Introductionmentioning
confidence: 99%
“…Semantic models can serve a number of different purposes in this context. They can be used as application or interface models in modeldriven design, generation at design time as well as at runtime, and integration of UIs [1,3,4,7,8]. Ontologies may enhance the visualization and interaction capabilities of UIs in various ways, e.g., by providing input assistance, intelligently clustering information, or adapting the UI according to the user's context [9].…”
Section: Introductionmentioning
confidence: 99%
“…Semantic models can serve a number of different purposes in this context. They can be used as functional core or user interface models in model-driven analysis, design, generation, and adaptation of user interfaces [1,3,4,6,8,9]. Ontologies may enhance the functional coverage of an interactive system as well as its visualization and interaction capabilities in various ways, e.g., by providing input assistance, intelligently clustering information, guiding collaborative interaction [6], or adapting the user interface according to the user's context [10].…”
Section: Introductionmentioning
confidence: 99%
“…SMARTKOM follows this approach with a domain specific ontology (Gurevych et al 2003). In order to exchange instantiated knowledge structures between different system components they need to be encoded in M3L.…”
Section: Multimodal Markup Languagementioning
confidence: 99%
“…Instead of relying on a manual reproduction of the underlying terminological knowledge within the M3L definition we decided to automate that task. Our tool OIL2XSD (Gurevych et al 2003) transforms an ontology written in OIL (Fensel et al 2001) into an M3L compatible XML Schema definition. The resulting schema specification captures the hierarchical structure and a significant part of the semantics of the ontology.…”
Section: Multimodal Markup Languagementioning
confidence: 99%