- From: Clement Jonquet <jonquet@lirmm.fr>
- Date: Thu, 5 Jul 2012 16:25:01 +0200
- To: "Clement Jonquet" <jonquet@lirmm.fr>
- Message-ID: <05a201cd5aba$03496150$09dc23f0$@lirmm.fr>
The LIRMM (Informatics lab) is a 350-person cross-faculty research entity of University of Montpellier, France and the National Center for Scientific Research (CNRS). It is home of internationally recognized researchers in semantic technologies, text/data mining, ontologies, bioinformatics and artificial intelligence. We are currently offering 1 fully-funded PhD studentships commencing fall 2012 for 3 years. Applications are invited from France, EU and international students on the following PhD project. All applicants must have a Master degree in Informatics or equivalent and must demonstrate an excellent CV. Skills with semantic web and natural language processing technologies are essential as well as good web development capabilities. Some French speaking is preferred considering the subject (but not mandatory). ---------------------------------------------------------------------------- -------------------------------------- Title: Using biomedical ontologies for semantic indexing of French biomedical data resources Institution: <http://www.univ-montp2.fr> University of Montpellier, <http://www.edi2s.univ-montp2.fr> I2S doctoral school Where: <http://www.lirmm.fr/> Laboratory of Informatics, Robotics, and Microelectronics of Montpellier (LIRMM) Key-words: semantic web, annotation, (biomedical) ontologies, semantic indexing, text/data mining, linked data, biomedical data Context: The volume of data in biomedicine is constantly increasing. Despite a large adoption of English in science, a significant quantity of these data uses the French language. Usually, the content of the resources is indexed to enable querying with keywords. However, there are obvious limits to keyword-based indexing: use of synonyms, polysemy, lack of domain knowledge. The community has turned toward ontologies to design semantic indexes of data that leverage the medical knowledge for better information mining and retrieval. However, besides the existence of various English tools, there are considerably less ontologies available in French and there is a strong lack of related tools and services to exploit them. This lack does not match the huge amount of biomedical data produced in French, especially in the clinical world (e.g., electronic health records). We will investigate the scientific and technical challenges in building ontology-based services to leverage biomedical ontologies and terminologies in indexing, mining and retrieval of French biomedical data. We will build an ontology-based indexing workflow similar to what exists for English resources (e.g., NCBO Annotator) but dedicated and specialized for French and make it available as a service for the community. We will investigate issues related to multilingual knowledge representation (complex alignments between multilingual ontologies) and maintenance/evolution of created annotations and mappings over time. Especially, the use of the French-English mappings will enable us to index French resources using English ontologies and to search English resources, already indexed with English ontologies. We will also investigate the use of the indexing workflow in the process of lifting data in the web of linked data. The project will partially reuse the work done by the NCBO project, led by Stanford BMIR. We will also capitalize upon existing tools developed by CISMeF. Methods will be generalizable to other languages and domain of application. Subject: The ontology-based workflow will use the semantics that the ontologies encode (properties, hierarchies, mappings, semantic distance, multilingualism and disambiguation) in order to improve the annotation process. The PhD project will consist in participating to that workflow working on French concept recognition (using NLP approaches), disambiguation, multilingual alignments and ontology enrichment. Validation will be achieved by processing use case derived biomedical data such as electronic medical records, patient data publicly available on the Web, or other. Description: http://www.lirmm.fr/~jonquet/research/projects/SIFR/2012_SIFR_PhD_position.h tml Supervisors: Dr. Clement Jonquet et Dr. Mathieu Roche Collaborations: Catalogue et Index des Sites Médicaux de langue Française (CISMeF) <http://www.cismef.org> , CHU de Rouen (Pr. Stefan Darmoni), <http://bmir.stanford.edu/> Stanford Center for Biomedical Informatics Research (BMIR), Stanford University (Pr. Mark Musen). Several visits are planned with those groups. When: Fall 2012 for 3 years Application: For more information about this position, please contact Dr. Clement Jonquet ( <mailto:jonquet@lirmm.fr> jonquet@lirmm.fr) and Dr. Mathieu Roche ( <mailto:mroche@lirmm.fr> mroche@lirmm.fr). To apply, please e-mail them the following: - an explanation of your interest in the proposed research field; - a curriculum vitae; - copies of diplomas and other relevant certificates; - a complete list of courses attended and corresponding grades; - names and contact details of referees. ---------------------------------------------------------------------------- -------------------------------------- ---------------------------------------------------------------------------- ----------------------- Dr. Clement JONQUET - PhD in Informatics - Assistant Professor <mailto:jonquet@lirmm.fr> jonquet@lirmm.fr <http://www.lirmm.fr/~jonquet> http://www.lirmm.fr/~jonquet University of Montpellier LIRMM 161 rue Ada 34095 Montpellier Cdx 5 France Tel: +33/4 67 14 97 43 Fax: +33/4 67 41 85 00 Skype: clementpro Twitter: <http://twitter.com/jonquet_lirmm> @jonquet_lirmm Slideshare: <http://www.slideshare.net/jonquet> jonquet ---------------------------------------------------------------------------- -----------------------
Received on Thursday, 5 July 2012 14:35:15 UTC