Title :
BioFacets: Faceted Classification for Biological Information
Author :
Mahoui, M. ; Miled, Z.B. ; Godse, A. ; Kulkarni, H. ; Li, N.
Abstract :
Biologists are increasingly relying on online biological databases to conduct their research. Despite the availability of hundreds of such databases, only a handful of them are effectively deployed by the community. The main reason for this is the lack of metadata provided by the databases, such as, the types of data stored, its coverage, and its relationship with other databases. Nevertheless, each database has a potential for supporting existing research investigations. The opportunity to leverage the wealth of data available presents several challenges related to data integration and representation. In this paper, we present BioFacets, a new integration system for Web based biological databases. The main feature of this system is the proposal of a new faceted classification system that allows for dynamic categorization of biological result sets. Other features of the system include query optimization, cache management and support for a meta-search engine that allows the system to efficiently search across multiple online biological databases
Keywords :
Internet; biology computing; cache storage; classification; meta data; query processing; scientific information systems; search engines; BioFacets; Web based biological databases; biological information; cache management; data integration; data representation; dynamic categorization; faceted classification system; meta-search engine; metadata; online biological databases; query optimization; Acceleration; Engines; HTML; Markup languages; Metasearch; Proposals; Protein sequence; Query processing; Spatial databases; Web sites;
Conference_Titel :
Scientific and Statistical Database Management, 2006. 18th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2590-3
DOI :
10.1109/SSDBM.2006.14