
Data Integration in the Life Sciences
Beschreibung
Weitere Details
Weitere Ausgaben
Inhalt
- Title
- Preface
- Organization
- Table of Contents
- Foundations of Data Integration
- Entrez: The NCBI Search and Discovery Engine
- Introduction
- Basic Design
- Retrieval and Discovery
- Conclusion
- InterOnto - Ranking Inter-Ontology Links
- Introduction
- Related Work
- Basic Concepts
- Data Model and Ontology Structure
- Measure of Semantic Similarity
- InterOnto - Linking Ontologies Using Evidence
- Finding Representative Concepts
- Scoring Representative Concept Pairs
- Eliminating Redundant Representative Concept Pairs
- Evaluation
- Input Data
- Evaluation Method
- Ranking Representative Concept Pairs
- Conclusion
- References
- Finding Cross Genome Patterns in Annotation Graphs
- Introduction
- Overview of PAnG
- Dense Subgraphs
- Graph Summarization
- Example Graph Summary
- Preliminary Cross-Genome Validation
- Data Collection Protocol and Statistics
- Cross-Genome Validation Using GS and DSG+GS Summaries
- Using Distance Metrics for Validation
- Distance Metrics
- Properties of the Distance Metrics
- Summary and Conclusions
- References
- Pay-as-You-Go Ranking of Schema Mappings Using Query Logs
- Introduction
- Proposed Ranking Approach
- Term Frequency Inverse Document Frequency
- Scoring Mappings
- Evaluation
- Experimental Setup
- Evaluation: Effects of Varying Query Log Size
- Evaluation: Effects of Varying Query Log Skew
- Related Work
- Implicit Feedback
- Relevance Ranking
- Conclusions
- References
- New Paradigms for Data Integration
- Combining Structured and Unstructured Knowledge Sources for Question Answering in Watson
- Open-Domain Question Answering
- Watson at Play
- Watson Goes to School
- References
- Cancer Data Integration and Querying with GeneTegra
- Introduction
- GeneTegra Information Integration
- Ontology Representation of Data Sources
- Converting Attribute-Value Pairs to Concept-Instance Relationships
- Linking Data Sources
- Query Distribution
- Query Planning and Execution
- Results and Discussion
- Conclusions
- References
- Integrating Large, Disparate Biomedical Ontologies to Boost Organ Development Network Connectivity
- Introduction and Background
- Data and Method
- Evaluation
- Discussion
- Conclusion
- References
- Validating Candidate Gene-Mutation Relations in MEDLINE Abstracts via Crowdsourcing
- Introduction
- Data
- Methods
- Overall Experimental Design
- Extraction of Candidate Genes, Mutations and Their Mentions
- Amazon Mechanical Turk for Gene-Mutation Association Identification
- Results
- Discussion
- Conclusions
- References
- Integrating Clinical Data
- The Biomedical Translational Research Information System: Clinical Data Integration at the National Institutes of Health
- ONCO-i2b2: Improve Patients Selection through Case-Based Information Retrieval Techniques
- Introduction
- Background
- System Architecture
- Integration Process
- Accessing the Data
- Enriching the i2b2 Patient Set
- Results
- Conclusions and Future Developments
- References
- Syntactic-Semantic Frames for Clinical Cohort Identification Queries
- Introduction
- Methods
- Frame Extraction System
- Evaluation
- Results
- Discussion
- Conclusion
- References
- Author Index
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