1. 10th Conference on Artificial Intelligence in Medicine (AIME 05) 23 - 27 July 2005 Aberdeen, Scotland Building Medical Ontologies based on Terminology Extraction from Texts: Methodological Propositions Audrey Baneyx 1, Marie-Christine Jaulent 1 and Jean Charlet 1, 2 1 INSERM U729, Paris, F-75006 France; 2 STIM/DSI/AP-HP, Paris, F-75004 France;

2. 10th Conference on Artificial Intelligence in Medicine (AIME 05) 23 - 27 July 2005 Aberdeen, Scotland Context Pathologies and acts are classified in thesauri Pathologies and acts are classified in thesauri Automation of the coding task requires an ontology Automation of the coding task requires an ontology PertoMed project PertoMed project Medical knowledge which interests us is contained in patient discharge summaries and specialty thesauri Medical knowledge which interests us is contained in patient discharge summaries and specialty thesauri

3. 10th Conference on Artificial Intelligence in Medicine (AIME 05) 23 - 27 July 2005 Aberdeen, Scotland Goal Development of a methodology for a knowledge engineer to build various types of medical ontologies Development of a methodology for a knowledge engineer to build various types of medical ontologies Hypotheses Hypotheses Use of terminology extraction from texts according to Differential Semantics theory Use of terminology extraction from texts according to Differential Semantics theory Joint use of two methods Joint use of two methods Distributional analysis for the building of terminological resources Distributional analysis for the building of terminological resources Semantic relationships recognition by lexico-syntactic patterns Semantic relationships recognition by lexico-syntactic patterns

4. 10th Conference on Artificial Intelligence in Medicine (AIME 05) 23 - 27 July 2005 Aberdeen, Scotland Our interface to help coding and to represent medical knowledge result Our interface to help coding and to represent medical knowledge Phase of test: use of the interface by the experts Pneumology specialty thesauri Database Screenshot of our interface (still in development)

5. 10th Conference on Artificial Intelligence in Medicine (AIME 05) 23 - 27 July 2005 Aberdeen, Scotland Methodological propositions to build medical ontologies Corpus constitution: textual resources are analysed by natural language processing tools Corpus constitution: textual resources are analysed by natural language processing tools Use of syntactic and distributional analyses Use of syntactic and distributional analyses Selection of candidate terms as concepts Selection of candidate terms as concepts Search for major conceptual axes Search for major conceptual axes Grouping of candidate terms which occur in the same contexts Grouping of candidate terms which occur in the same contexts Application of differential principles Application of differential principles The Differential Semantics theory is a guide The Differential Semantics theory is a guide The meaning of a node is given by the gathering of all similarities and differences defined for each concept between the node target and the root The meaning of a node is given by the gathering of all similarities and differences defined for each concept between the node target and the root Checking and modifying the ontological hierarchy with the medical expert (iterative phase) Checking and modifying the ontological hierarchy with the medical expert (iterative phase)

6. 10th Conference on Artificial Intelligence in Medicine (AIME 05) 23 - 27 July 2005 Aberdeen, Scotland We need to represent the pneumology specialty thesauri We need to represent the pneumology specialty thesauri A bronchial benign tumor A bronchial benign tumor Tumor LevelOfGravity Benign AnatomicalLocation Bronchi

7. 10th Conference on Artificial Intelligence in Medicine (AIME 05) 23 - 27 July 2005 Aberdeen, Scotland I would like to thank the experts of the French Pneumology Society for their help during the validation stage I would like to thank the experts of the French Pneumology Society for their help during the validation stage I thank you for your attention and I would be happy to give you more explanations in front of my poster I thank you for your attention and I would be happy to give you more explanations in front of my poster