Data Integration in the Life Sciences(生命科学的数据整合/2005年国际会议录)

Data Integration in the Life Sciences(生命科学的数据整合/2005年国际会议录) - 图书城

增改描述、封面图片

作者:
Bertram Ludäscher  著
ISBN:
9783540279679 , 3540279679
出版社:
出版日期:
2004-8-1
定价:
587.60
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内容提要:
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.
目录:
Keynotes
Challenges in Biological Data Integration in the Post-genome Sequence Era
 Curated Databases
User Applications
 A User-Centric Framework for Accessing Biological Sources and Tools
 BioLog: A Browser Based Collaboration and Resource Navigation Assistant for  BioMedical Researchers 
 Learning Layouts of Biological Datasets Semi-automatically
Ontologies
 Factors Affecting Ontology Development in Ecology
 Querying Ontologies in Relational Database Systems
 Scientific Names Are Ambiguous as Identifiers for Biological Taxa: Their Context and Definition Are Required for Accurate Data
Integration
 The Multiple Roles of Ontologies in the BioMediator Data Integration System
Data Integration I-IV
 Integrating Heterogeneous Microarray Data Sources Using Correlation Signatures
 Knowledge-Based Integrative Framework for Hypothesis Formation in Biochemical Networks
 Semantic Correspondence in Federated Life Science Data Integration Systems
 Assigning Unique Keys to Chemical Compounds for Data Integration: Some Interesting Counter Examples
 Integrating and Warehousing Liver Gene Expression Data and Related Biomedical Resources in GEDAW
 Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources
 Cluster Based Integration of Heterogeneous Biological Databases Using the AutoMed Toolkit
 Hybrid Integration of Molecular-Biological Annotation Data
 Setup and Annotation of Metabolomic Experiments by Integrating Biological and Mass Spectrometric Metadata
 Performance-Oriented Privacy-Preserving Data Integrati6n
Potpourri
Posters and Demonstrations
Invited Briefings
Author Index
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