Biomedical Engineering Reference
In-Depth Information
26
COLLABORATION AND THE
SEMANTIC WEB
CHRISTINE CHICHESTER AND BAREND MONS
26.1
Introduction 453
26.2
Springboard for Collaborative Semantic Web Technologies 454
26.3
Semantic Web Approach 455
26.4
Concept Web Alliance and ConceptWiki 457
26.5
Authorship of Scientifi c Assertions 458
26.6
Cultivating Communities of Practice 459
26.7
Adoption of Technologies in Open Pharmaceutical Space 462
26.8
Conclusion 465
References 465
26.1
INTRODUCTION
There is no shortage of experimental data, derived information, and knowl-
edge in the life sciences. However, it is siloed in databases, the scientifi c litera-
ture, and the minds of scientists. Any locally performed reasoning process,
either computationally by computers or conceptually by humans, on one silo
of information will miss potentially relevant data, making serendipitous fi nd-
ings less likely. Numerous projects have tried to address this problem by data
integration but have only marginally succeeded. With the advent of Semantic
Web technologies and standards, we are now able to realistically develop a
fundamentally different approach to enhanced knowledge management and
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