On a Meaningful Integration of Web Services in Data-Intensive Biomedical Environments: The DICODE Approach

被引：0

作者：

de la Calle, Guillermo ^{[1
]}

Garcia-Remesal, Miguel ^{[1
]}

Tzagarakis, Manolis ^{[2
,3
]}

Christodoulou, Spyros ^{[2
,3
]}

Tsiliki, Georgia ^{[4
]}

Karacapilidis, Nikos ^{[2
,3
]}

机构：

[1] Univ Politecn Madrid, Fac Informat, Dept Inteligencia Artificial, Biomed Informat Grp, E-28660 Madrid, Spain

[2] Univ Patras, Patras 26504, Greece

[3] Univ Patras, Comp Technol Inst & Press Diophantus, Rion 26504, Greece

[4] Acad Athens, Biomed Res Fdn, Bioinformat & Med Informat Grp, Athens 11527, Greece

来源：

2012 25TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS) | 2012年

关键词：

Data-intensiveness; Machine intelligence; Human intelligence; Service integration; Information management; GENE-EXPRESSION;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper reports on an innovative approach that aims to reduce information management costs in data-intensive and cognitively-complex biomedical environments. Recognizing the importance of prominent high-performance computing paradigms and large data processing technologies as well as collaboration support systems to remedy data-intensive issues, it adopts a hybrid approach by building on the synergy of these technologies. The proposed approach provides innovative Web-based workbenches that integrate and orchestrate a set of interoperable services that reduce the data-intensiveness and complexity overload at critical decision points to a manageable level, thus permitting stakeholders to be more productive and concentrate on creative activities.

引用

页数：4