Biomedical Semantic Modeling
http://essence.cecs.missouri.edu/semantics/

Essence is a semantic query system for diagnostic image database retrieval that uses physician-defined linguistic variables related to lung pathologies. Users are able to improve the quality of image retrieval by creating new, customized semantic terms, and by modeling the setting to reflect their preferences. The system brings an increased versatility for image retrieval, and a virtually unlimited number of possibilities for customizing the linguistic terms dictionary using customized fuzzy classifications for semantic terms.

• Status: Active
• Funding:
• Members: Adrian Barb

• Publications:
  Adrian Barb, and Chi-Ren Shyu. A semantic query approach for diagnostic image database management - content-based access and knowledge exchange using XML, in Proc. of the Sixth World Multiconference on Systemics, Cybernetics, and Informatics, Vol. XVIII, Orlando, FL, July 2002; 162-167
  
  Adrian Barb, Chi-Ren Shyu, and Yash Sethi. Knowledge Representation and Sharing Using Visual Semantic Modeling for Diagnostic Medical Image Databases, in IEEE Transactions on Information Technology in BioMedicine, Vol. 9, No. 4 , December 2005; 538-553
  
  Adrian Barb, Chi-Ren Shyu, and Yash Sethi. Semantic integration and knowledge exchange for diagnostic medical image databases, in Proc. of IEEE Fourth Symposium on Bioinformatics and Bioengineering (BIBE2004), Taichung, Taiwan, May 2004; 175-182
  
  Adrian Barb, and Chi-Ren Shyu. Semantics modeling in diagnostic medical image databases using customized fuzzy membership functions, in IEEE International Conference on Fuzzy Systems, St. Louis, MO, May 2003; 1159-1164
  
  

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