Title :
Miology: A Web Application for Organizing Personal Domain Ontologies
Author :
Speretta, Mirco ; Gauch, Susan
Author_Institution :
CSCE Dept., Univ. of Arkansas Fayetteville, Fayetteville, AR
Abstract :
One common way for users to organize personal interests is to categorize information by topics. Each area of interest could be represented either by a simple concept label or by more complex information structures that include concepts linked to each other by user defined relationships. We believe that this type of information structure could be easily represented by domain ontologies. The increasing interest in the Semantic Web has been producing a growing number of publicly available ontologies. This is a rich source of information that could be very helpful during the process of engineering other domain ontologies. Still, we need automatic tools that help non-expert users build and maintain their own ontologies. To make this process more accessible, we introduce Miology, a Web-based application that helps users automatically select and adapt existing ontologies to represent their personal interests.
Keywords :
information retrieval; ontologies (artificial intelligence); semantic Web; information categorisation; information structure; miology; personal domain ontology; semantic Web; web application; Information resources; Knowledge management; Libraries; Maintenance engineering; Ontologies; Organizing; Peer to peer computing; Semantic Web; Standardization; Vocabulary; automatic ontology generation; personal domain ontologies;
Conference_Titel :
Information, Process, and Knowledge Management, 2009. eKNOW '09. International Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-3362-9
Electronic_ISBN :
978-0-7695-3531-9
DOI :
10.1109/eKNOW.2009.22