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DOLCE ergo SUMO: On Foundational and Domain Models in SWIntO (SmartWeb Integrated Ontology))


Daniel OberleAnupriya AnkolekarPascal HitzlerPhilipp Cimiano, Michael Sintek, Malte Kiesel, B. Mougouie, S. Vembu, S. Baumann, Massimo Romanelli, Paul Buitelaar, R. Engel, D. Sonntag, N. Reithinger, Berenike Loos, R. Porzel, H.-P. Zorn, V. Micelli, C Schmidt, Moritz Weiten, F. Burkhardt, J. Zhou



Veröffentlicht: 2007

Journal: Journal of Web Semantics: Science, Services and Agents on the World Wide Web
Nummer: 3
Seiten: 156-174

Volume: 5

Referierte Veröffentlichung
BibTeX




Kurzfassung
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 detailled 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. In this paper, we present the SmartSUMO ontology, 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.

Download: Media:2007_1246_Oberle_DOLCE_ergo_SUMO_1.pdf,Media:2007_1246_Oberle_DOLCE_ergo_SUMO_2.pdf

Projekt

SmartWeb



Forschungsgruppe

Web Science und Wissensmanagement


Forschungsgebiet
Ontology Engineering, Mensch-Maschine-Systeme, Künstliche Intelligenz, Semantic Web, Semantische Web Dienste, Ontologiemodellierung, Mobile Technologien