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| Content Provider | ACM Digital Library |
|---|---|
| Author | Smail-Tabbone, Malika Messai, Nizar Franiatte, Philippe Devignes, Marie Dominique Napoli, Amedeo |
| Abstract | Biological databases are blooming today at an increasing rate to deal with the huge amount of data produced by genomic and post-genomic research. The need for a well-maintained searchable directory is therefore an important issue for a good exploitation of these databases. The BioRegistry repository is automatically generated from a publicly available list of biological databases (The Molecular Biology Database Collection published in Nucleic Acids Research) and aims at associating content metadata with each database in view of database retrieval and/or discovery. Such content metadata are either simple keywords or terms belonging to a medical thesaurus. Querying modalities including a search by semantic similarity are described. The use of conceptual clustering methods is proposed to build a semantic classification of biological databases enabling browsing through the BioRegistry repository and discovering previously unknown databases. |
| Starting Page | 456 |
| Ending Page | 461 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781605583495 |
| DOI | 10.1145/1497308.1497392 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2008-11-24 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Conceptual clustering Metadata Biological databases Resource discovery |
| Content Type | Text |
| Resource Type | Article |
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| Sl. | Authority | Responsibilities | Communication Details |
|---|---|---|---|
| 1 | Ministry of Education (GoI), Department of Higher Education |
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