Achieving Evolvable Web-Database Bioscience Applications Using the EAV/CR Framework: Recent Advances | Zendy

Luis Marenco | Zendy; Nicholas Tosches | Zendy; Chiquito Crasto | Zendy; Gordon M. Shepherd | Zendy; Perry L. Miller | Zendy; Prakash M. Nadkarni | Zendy

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Achieving Evolvable Web-Database Bioscience Applications Using the EAV/CR Framework: Recent Advances

Author(s) -

Luis Marenco,

Nicholas Tosches,

Chiquito Crasto,

Gordon M. Shepherd,

Perry L. Miller,

Prakash M. Nadkarni

Publication year - 2003

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1197/jamia.m1303

Subject(s) - computer science , metadata , schema (genetic algorithms) , unified medical language system , information retrieval , xml , database , world wide web

The EAV/CR framework, designed for database support of rapidly evolving scientific domains, utilizes metadata to facilitate schema maintenance and automatic generation of Web-enabled browsing interfaces to the data. EAV/CR is used in SenseLab, a neuroscience database that is part of the national Human Brain Project. This report describes various enhancements to the framework. These include (1) the ability to create "portals" that present different subsets of the schema to users with a particular research focus, (2) a generic XML-based protocol to assist data extraction and population of the database by external agents, (3) a limited form of ad hoc data query, and (4) semantic descriptors for interclass relationships and links to controlled vocabularies such as the UMLS.

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