Xu Chuanyun
College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China
Zhang Yang
College of Computer and Information Science, Chongqing Normal University, Chongqing, China
ABSTRACT
Based on the simulation to the fact that the cytological physicians interpretation of cervical smears could be seen as the analysis and reasoning process of smear images, an Automatic Interpretation Method of Cervical Smears based on Ontology and Semantic Reasoning (AICSOSR) is put forward. Firstly the principle and process of interpretation methods using semantic reasoning is analyzed; secondly smear image features ontology, smear cytological feature ontology and interpretation experience standard ontology are built with semantic mapping methods between the different semantic ontology using rule inference and basic reasoning rules are bright forward; an automatic interpretation method of cervical smears based on Ontology and semantic reasoning is given to elaborate basic methods of interpretation rules, interpretation result merging and conflict management.
PDF References Citation
How to cite this article
Xu Chuanyun and Zhang Yang, 2013. Cervical Cytology Smear Image Interpretation System Based on Semantic Reasoning. Information Technology Journal, 12: 4243-4249.
DOI: 10.3923/itj.2013.4243.4249
URL: https://scialert.net/abstract/?doi=itj.2013.4243.4249
DOI: 10.3923/itj.2013.4243.4249
URL: https://scialert.net/abstract/?doi=itj.2013.4243.4249
REFERENCES
- Anhai, D., J. Madhavan and P. Domingos, 2002. Learning to map between ontologies on the semantic web. Proceedings of the 11th International Conference on World Wide Web, May 7-11, 2002, Honolulu, Hawaii, USA., pp: 662-673.
CrossRef - Bouquet, P., L. Serafini and S. Zanobinik, 2006. Bootstrapping semantics on the web: Meaning elicitation from schemas. Proceedings of the 15th International Conference on World Wide Web, May 23-26, 2006, Edinburgh, Scotland, pp: 505-512.
CrossRef - Aumueller, D., H.H. Do, S. Massmann and E. Rahm, 2005. Schema and ontology matching with COMA++. Proceedings of the ACM SIGMOD International Conference on Management of Data, June 14-16, 2005, Baltimore, Maryland, USA., pp: 906-908.
Direct Link - Doan, A. and A. Halevy, 2005. Semantic integration research in the database community. AI Mag. Special Issue Semantic Integration, 26: 83-94.
Direct Link - Miller, G.A., 1995. WordNet: A lexical database for English. Commun. ACM, 38: 39-41.
CrossRefDirect Link - Petko, V. and J. Euzenat, 1997. Dissimilarity measure for collections of objects and values. Proceedings of the 2nd Symposium on Intelligent Data Analysis, August 4-6, 1997, London, UK., pp: 259-272.
CrossRef - Rahm, E., H.H. Do and S. Maßmann, 2004. Matching large XML schemas. ACM SIGMOD Record, 33: 26-31.
Direct Link