Ontology development and optimization for data integration and knowledge management

Liyu Zheng, Xiaomeng Chang, Janis Terpenny

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations


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 languageEnglish (US)
Number of pages9
StatePublished - 2013
EventIIE Annual Conference and Expo 2013 - San Juan, Puerto Rico
Duration: May 18 2013May 22 2013


OtherIIE Annual Conference and Expo 2013
Country/TerritoryPuerto Rico
CitySan Juan

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering


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