Digital Library

cab1

 
Title:      STATIC AND DYNAMIC KNOWLEDGE FOR THE EMBODIED CONVERSATIONAL AGENT MAX - A FIRST APPROACH -
Author(s):      Alexa Breuing , Ipke Wachsmuth
ISBN:      978-972-8924-68-3
Editors:      Pedro IsaĆ­as, Miguel Baptista Nunes and Dirk Ifenthaler
Year:      2008
Edition:      Single
Keywords:      Ontologies, Collaborative Systems, Human Computer Interaction, Information Retrieval
Type:      Doctoral Paper
First Page:      567
Last Page:      570
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      The online encyclopedia Wikipedia is currently one of the best known collaboratively edited knowledge sources. While humans are able to inform themselves by reading the according articles in Wikipedia, machines lack the ability to understand natural language. Thus, a central task of bridging this deficit is the text technological reconstruction of the information held in Wikipedia to make this knowledge available to artificial agents. Our paper presents an approach for a connection between the embodied conversational agent Max and an ontology-based representation of encyclopedic knowledge held in Wikipedia. Thereby we strive for an automatic distinction between static and dynamic knowledge to enable a more human-like knowledge handling by the agent. The approach to infer stable knowledge proposed in this paper grounds on the so-called history pages provided by Wikipedia.
   

Social Media Links

Search

Login