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Resource Discovery - 5th International Workshop, RED 2012, Co-located with the 9th Extended Semantic Web Conference, ESWC 2012, Heraklion, Greece, May 27, 2012, Revised Selected Papers (Paperback, 2013 ed.)
Zoe Lacroix, Edna Ruckhaus, Maria Esther Vidal
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R1,968
Discovery Miles 19 680
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Ships in 10 - 15 working days
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This book constitutes the thoroughly refereed conference
proceedings of the 5th International Workshop on Resource
Discovery, RED 2010, co-located with the 9th Extended Semantic Web
Conference, held in Heraklion, Greece, in May 2012.
The 7 revised full papers presented were carefully reviewed and
selected from 9 submissions. They deal with various issues related
to resource discovery.
This book constitutes the thoroughly refereed post-conference
proceedings of the Third International Workshop on Resource
Discovery, RED 2010, held in Paris, France, in November 2010. The
13 revised full papers - from 24 initial submissions - were
carefully selected during a second round of reviewing and
improvement from the lectures given at the workshop and are
presented in extended version in the book. They deal with the
following topics: resource discovery for composition;
bioinformatics resource discovery; textual resource discovery; and
Web service discovery.
This book constitutes the thoroughly refereed joint post-proceedings of the VLDB 2002 Workshop on Efficiency and Effectiveness of XML Tools and Techniques, EEXTT and the CAiSE 2002 Workshop on Data Integration over the Web, DIWeb. The 10 revised full papers presented were carefully selected during two rounds of reviewing and revision. The papers are organized in topical sections on XML languages, XML modeling and integration, XML storage, benchmarking XML, and data integration over the Web.
Life science data integration and interoperability is one of the
most challenging problems facing bioinformatics today. In the
current age of the life sciences, investigators have to interpret
many types of information from a variety of sources: lab
instruments, public databases, gene expression profiles, raw
sequence traces, single nucleotide polymorphisms, chemical
screening data, proteomic data, putative metabolic pathway models,
and many others. Unfortunately, scientists are not currently able
to easily identify and access this information because of the
variety of semantics, interfaces, and data formats used by the
underlying data sources.
Bioinformatics: Managing Scientific Data tackles this challenge
head-on by discussing the current approaches and variety of systems
available to help bioinformaticians with this increasingly complex
issue. The heart of the book lies in the collaboration efforts of
eight distinct bioinformatics teams that describe their own unique
approaches to data integration and interoperability. Each system
receives its own chapter where the lead contributors provide
precious insight into the specific problems being addressed by the
system, why the particular architecture was chosen, and details on
the system's strengths and weaknesses. In closing, the editors
provide important criteria for evaluating these systems that
bioinformatics professionals will find valuable.
* Provides a clear overview of the state-of-the-art in data
integration and interoperability in genomics, highlighting a
variety of systems and giving insight into the strengths and
weaknesses of their different approaches.
* Discusses shared vocabulary, design issues, complexity of use
cases, and the difficulties of transferring existing data
management approaches to bioinformatics systems, which serves to
connect computer and life scientists.
* Written by the primary contributors of eight reputable
bioinformatics systems in academia and industry including: BioKris,
TAMBIS, K2, GeneExpress, P/FDM, MBM, SDSC, SRS, and DiscoveryLink.
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