Publications (3)0 Total impact
Article: DOLCE ergo SUMO: On foundational and domain models in the SmartWeb Integrated Ontology (SWIntO)[show abstract] [hide abstract]
ABSTRACT: Increased availability of mobile computing, such as personal digital assistants (PDAs), creates the potential for constant and intelligent access to up-to-date, integrated and detailed information from the Web, regardless of one's actual geographical position. Intelligent question-answering requires the representation of knowledge from various domains, such as the navigational and discourse context of the user, potential user questions, the information provided by Web services and so on, for example in the form of ontologies. Within the context of the SmartWeb project, we have developed a number of domain-specific ontologies that are relevant for mobile and intelligent user interfaces to open-domain question-answering and information services on the Web. To integrate the various domain-specific ontologies, we have developed a foundational ontology, the SmartSUMO ontology, on the basis of the DOLCE and SUMO ontologies. This allows us to combine all the developed ontologies into a single SmartWeb Integrated Ontology (SWIntO) having a common modeling basis with conceptual clarity and the provision of ontology design patterns for modeling consistency. In this paper, we present SWIntO, describe the design choices we made in its construction, illustrate the use of the ontology through a number of applications, and discuss some of the lessons learned from our experiences.Web Semantics: Science, Services and Agents on the World Wide Web. 07/2007;
Article: Linginfo: Design and applications of a model for the integration of linguistic information in ontologies[show abstract] [hide abstract]
ABSTRACT: To allow for a direct connection of this linguistic information for terms with corresponding classes and properties in a domain ontology, we developed a lexicon model (LingInfo) that enables the definition of LingInfo instances (each of which represents a term) for each class or property. The LingInfo model is represented by use of a meta-class, which allows for the representation of LingInfo instances with each class, where each LingInfo instance represents the linguistic features of a term for a particular class. Applications of the LingInfo model are in information extraction, dialogue analysis, and knowledge acquisition from text, i.e. in knowledge base generation and ontology learning.
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ABSTRACT: In this paper we describe an onto-logical model of pragmatic knowl-edge -using an example from the domain of navigation -that is based on the Descriptive Ontology for Linguistic and Cognitive Engineer-ing and employs a specific onto-logical module called Descriptions & Situations. This framework es-tablishes so-called ontological pat-terns. We employ such a pattern for modeling schematic knowledge of the pragmatics of spatial naviga-tion.