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Comprehensive Gene Ontology Mapping Strategies for Improved Biological Inference

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3 Author(s)
Qing-Wei Xu ; Comput. Sci. & Technol., HUBEI Univ. of Educ., Wuhan, China ; Li Yang ; Jiang Li

Lack of sufficient semantic relationships between pairs of terms coming from the three independent gene ontology sub-ontologies, that limit the power to provide complex semantic queries and inference services based on it. By integrating non-lexical and lexical learning strategies into GLUE system, we semi-automatically generate six types of one-to-one mapping paths covered almost half of all GO terms. We believe that the comprehensive ontology mapping strategies might be an effective way to bridge the gap between non-lexical and lexical approaches, as well as improve accuracy and coverage.

Published in:

Control, Automation and Systems Engineering, 2009. CASE 2009. IITA International Conference on

Date of Conference:

11-12 July 2009