Qualitative indexing process : applied to build a search strategy plan about stand out topics on Alzheimer's disease therapy ; Méthode d'indexation qualitative : application à un plan de veille relatif aux thérapies émergentes contre la maladie d'Alzheimer
Sie können Bookmarks mittels Listen verwalten, loggen Sie sich dafür bitte in Ihr SLUB Benutzerkonto ein.
Medientyp:
E-Book
Titel:
Qualitative indexing process : applied to build a search strategy plan about stand out topics on Alzheimer's disease therapy ; Méthode d'indexation qualitative : application à un plan de veille relatif aux thérapies émergentes contre la maladie d'Alzheimer
Erschienen:
[Erscheinungsort nicht ermittelbar]: HAL CCSD, 2009
Sprache:
Französisch
Entstehung:
Hochschulschrift:
Dissertation, HAL CCSD, 2009
Anmerkungen:
Beschreibung:
In the context of research and development for a new therapeutic treatment, the researcher seeks to monitor relevant research topics in order to update field-specific knowledge. Direct computer access to relevant information is required. The complexity of biological systems increases the great difficulty of translating some hypothetical reflections in a linguistic manner or by semiotics. In this study, we propose a detached process of the system of language. To do this, we will present a methodology based on a qualitative indexing using personalized filtering. The index is no longer of a linguistic nature but a sort of connection of knowledge". This method of qualitative indexing applied to information retrieval is in contrast with documentation indexing systems and the use of thesauruses such as MeSH when it pertains to formulating a complex request. The choice of the experimentation subject using Medline database via PubMed proves the complexity of research problem formulation. The main theme is a possible treatment of Alzheimer's disease. This experiment makes it possible to highlight the documents contained in Medline which provide few or no answers by indexing keywords. The results obtained suggest that an indexing knowledge significantly improves search results for information via Medline in comparison to "Google" searches habitually carried out by the researcher. Comparable to scientific awareness, this methodology opens new collaboration possibilities between information professionals and research