Abstract
In recent years, ontologies and ontology-based information systems have become widely used in knowledge management and data integration. While the benefits and capabilities are clear, the rapid growth and adoption of such systems have brought challenges to the efficient development, management and optimization of ontologies. For example, ontology development requires a significant amount of repeated steps. And, once developed, ontologies need to be completely, consistently and correctly described in a hierarchy. Further, ontologies also need to be maintained regularly to keep them consistent with changes in domain knowledge and data sources. Facing these challenges, this paper puts forward a method to automatically develop and maintain ontologies, and a method to optimize these ontologies through identifying potential relationships among distributed ontologies. By using these methods, ontology-based systems can be efficiently developed and maintained; ultimately, leading to more efficient data integration, knowledge management, and decision making.
Original language | English (US) |
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Pages | 142-150 |
Number of pages | 9 |
State | Published - 2013 |
Event | IIE Annual Conference and Expo 2013 - San Juan, Puerto Rico Duration: May 18 2013 → May 22 2013 |
Other
Other | IIE Annual Conference and Expo 2013 |
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Country/Territory | Puerto Rico |
City | San Juan |
Period | 5/18/13 → 5/22/13 |
All Science Journal Classification (ASJC) codes
- Industrial and Manufacturing Engineering