Most French medical theses are not made available to the scientific community. In the European context, where medical training and qualification have to be standardized, our study provides a simple method of assessing that publication objectives of thesis research are met. Further research is needed to explore the educational value of medical professional theses.
Context and objective In many countries, medical training must be completed by presentation of a thesis. We report publication patterns of French medical theses. Materials We drew a random sample of theses presented in the 36 French medical universities between 1 January 1993 and 31 December 1997. The sample was stratified according to size of university, and drawn from the CD‐ROM Doc‐Thèse. Methods We recorded the research area (medicine, surgery, biology) and study type (clinical, epidemiological, laboratory). We used the name of the student and supervisor to assess whether the thesis resulted in a publication indexed in MEDLINE. Results Most of the 300 theses included were from medicine (79·3%) and were clinical studies (69·3%). A total of 51 theses (17·0%) resulted in publication. The proportion of theses which were published, the median impact factor of the journals in which they were published, the proportion of publications in English and the proportion of publications in which the name of the student was missing varied with the research domain and type of study. Conclusions Most French medical theses are not made available to the scientific community. In the European context, where medical training and qualification have to be standardized, our study provides a simple method of assessing that publication objectives of thesis research are met. Further research is needed to explore the educational value of medical professional theses.
Ontologies are useful tools for sharing and exchanging knowledge. However ontology construction is complex and often time consuming. In this paper, we present a method for building a bilingual domain ontology from textual and termino-ontological resources intended for semantic annotation and information retrieval of textual documents. This method combines two approaches: ontology learning from texts and the reuse of existing terminological resources. It consists of four steps: (i) term extraction from domain specific corpora (in French and English) using textual analysis tools, (ii) clustering of terms into concepts organized according to the UMLS Metathesaurus, (iii) ontology enrichment through the alignment of French and English terms using parallel corpora and the integration of new concepts, (iv) refinement and validation of results by domain experts. These validated results are formalized into a domain ontology dedicated to Alzheimer's disease and related syndromes which is available online (http://lesim.isped.u-bordeaux2.fr/SemBiP/ressources/ontoAD.owl). The latter currently includes 5765 concepts linked by 7499 taxonomic relationships and 10,889 non-taxonomic relationships. Among these results, 439 concepts absent from the UMLS were created and 608 new synonymous French terms were added. The proposed method is sufficiently flexible to be applied to other domains.
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