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Data Integration in the Life Sciences
  • Language: en
  • Pages: 221

Data Integration in the Life Sciences

This book constitutes the refereed proceedings of the 5th International Workshop on Data Integration in the Life Sciences, DILS 2008, held in Evry, France in June 2008. The 18 revised full papers presented together with 3 keynote talks and a tutorial paper were carefully reviewed and selected from 54 submissions. The papers adress all current issues in data integration and data management from the life science point of view and are organized in topical sections on Semantic Web for the life sciences, designing and evaluating architectures to integrate biological data, new architectures and experience on using systems, systems using technologies from the Semantic Web for the life sciences, mining integrated biological data, and new features of major resources for biomolecular data.

Data Integration in the Life Sciences
  • Language: en
  • Pages: 284

Data Integration in the Life Sciences

  • Type: Book
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  • Published: 2007-06-30
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  • Publisher: Springer

This book constitutes the refereed proceedings of the 4th International Workshop on Data Integration in the Life Sciences, DILS 2007, held in Philadelphia, PA, USA in July 2007. It covers new architectures and experience on using systems, managing and designing scientific workflows, mapping and matching techniques, modeling of life science data, and annotation in data integration.

Data Integration in the Life Sciences
  • Language: en
  • Pages: 209

Data Integration in the Life Sciences

  • Type: Book
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  • Published: 2008-06-17
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  • Publisher: Springer

For several years now, there has been an exponential growth of the amount of life science data (e. g. , sequenced complete genomes, 3D structures, DNA chips, mass spectroscopy data), most of which are generated by high-throughput - periments. This exponentialcorpusof data is storedand made availablethrough a large number of databases and resources over the Web, but unfortunately still with a high degreeof semantic heterogeneity and varying levels of quality. These data must be combined together and processed by bioinformatics tools deployed on powerful and e?cient platforms to permit the uncovering of patterns, s- ilarities and in general to help in the process of discovery. Analyzing comple...

Data Integration in the Life Sciences
  • Language: en
  • Pages: 308

Data Integration in the Life Sciences

This book constitutes the refereed proceedings of the Third International Workshop on Data Integration in the Life Sciences, DILS 2006, held in Hinxton, UK in July 2006. Presents 19 revised full papers and 4 revised short papers together with 2 keynote talks, addressing current issues in data integration from the life science point of view. The papers are organized in topical sections on data integration, text mining, systems, and workflow.

Secure Cloud Computing
  • Language: en
  • Pages: 351

Secure Cloud Computing

This book presents a range of cloud computing security challenges and promising solution paths. The first two chapters focus on practical considerations of cloud computing. In Chapter 1, Chandramouli, Iorga, and Chokani describe the evolution of cloud computing and the current state of practice, followed by the challenges of cryptographic key management in the cloud. In Chapter 2, Chen and Sion present a dollar cost model of cloud computing and explore the economic viability of cloud computing with and without security mechanisms involving cryptographic mechanisms. The next two chapters address security issues of the cloud infrastructure. In Chapter 3, Szefer and Lee describe a hardware-enha...

Data Integration in the Life Sciences
  • Language: en
  • Pages: 122

Data Integration in the Life Sciences

  • Type: Book
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  • Published: 2012-06-22
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  • Publisher: Springer

This book constitutes the refereed proceedings of the 8th International Conference on Data Integration in the Life Sciences, DILS 2012, held in College Park, MD, USA, on June 28-29, 2012. The 11 revised papers included in this volume were carefully reviewed and selected. The papers cover the following topics: foundations of data integration, new paradigms for data integration, and integrating clinical data.

Data Integration in the Life Sciences
  • Language: en
  • Pages: 355

Data Integration in the Life Sciences

This book constitutes the refereed proceedings of the Second International Workshop on Data Integration in the Life Sciences, DILS 2005, held in San Diego, CA, USA in July 2005. The 20 revised full papers presented together with 8 revised posters and demonstration papers, 2 keynote articles and 5 invited position statements were carefully reviewed and selected from 50 initial submissions. The papers are organized in topical sections on user applications, ontologies, data integration, and others and address all current issues in data integration from the life science point of view.

Web Information Systems Engineering – WISE 2007 Workshops
  • Language: en
  • Pages: 520

Web Information Systems Engineering – WISE 2007 Workshops

  • Type: Book
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  • Published: 2007-11-22
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  • Publisher: Springer

This book constitutes the joint refereed proceedings of six workshops held in conjunction with the 8th International Conference on Web Information Systems Engineering, WISE 2007 in Nancy, France, in December 2007. The 44 revised full papers presented were carefully reviewed and selected from numerous submissions for presentation in the six workshops. The workshops discuss a broad range of subjects.

Biocomputing 2006
  • Language: en

Biocomputing 2006

  • Type: Book
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  • Published: Unknown
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  • Publisher: Unknown

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Principles of Data Integration
  • Language: en
  • Pages: 522

Principles of Data Integration

  • Type: Book
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  • Published: 2012-06-25
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  • Publisher: Elsevier

Principles of Data Integration is the first comprehensive textbook of data integration, covering theoretical principles and implementation issues as well as current challenges raised by the semantic web and cloud computing. The book offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand. Readers will also learn how to build their own algorithms and implement their own data integration application. Written by three of the most respected experts in the field, this book provides an extensive introduction to the theory and concepts underlying today's data integration techniques, with detailed, instruction for their application using con...