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Data Integration in the Life Sciences : 13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018, Proceedings / edited by Sören Auer, Maria-Esther Vidal.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in bioinformatics 2366-6331 ; 11371
- Lecture Notes in Bioinformatics, 2366-6331 ; 11371
- Language:
- English
- Subjects (All):
- Database management.
- Application software.
- Artificial intelligence.
- Machine theory.
- Bioinformatics.
- Database Management.
- Computer and Information Systems Applications.
- Artificial Intelligence.
- Formal Languages and Automata Theory.
- Computational and Systems Biology.
- Local Subjects:
- Database Management.
- Computer and Information Systems Applications.
- Artificial Intelligence.
- Formal Languages and Automata Theory.
- Computational and Systems Biology.
- Physical Description:
- 1 online resource (XI, 218 pages) : 81 illustrations, 62 illustrations in color.
- Edition:
- 1st ed. 2019.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2019.
- System Details:
- text file PDF
- Summary:
- This book constitutes revised selected papers from the 13th International Conference on Data Integration in the Life Sciences, DILS 2018, held in Hannover, Germany, in November 2018. The 5 full, 8 short, 3 poster and 4 demo papers presented in this volume were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections named: big biomedical data integration and management; data exploration in the life sciences; biomedical data analytics; and big biomedical applications.
- Contents:
- Big Biomedical Data Integration and Management
- Do Scaling Algorithms Preserve Word2Vec Semantics? A Case Study for Medical Entities
- Combining semantic and lexical measures to evaluate medical terms similarity
- Construction and Visualization of Dynamic Biological Networks: Benchmarking the Neo4J Graph Database
- A Knowledge-driven Pipeline from Transforming Big Data into Actionable Knowledge
- Leaving no stone unturned: Using machine learning based approaches for information extraction from full texts of a research data warehouse
- Data Exploration in the Life Sciences
- Towards research infrastructures that curate scientific information: A use case in life sciences
- Interactive Visualization for large-scale multi-factorial Research Designs
- FedSDM: Semantic Data Manager for Federations of RDF Datasets
- Data Integration for Supporting Biomedical Knowledge Graph Creation at Large-Scale
- DISBi: A flexible framework for integrating systems biology data
- Biomedical Data Analytics
- Using Machine Learning to Distinguish Infected from Non-Infected Subjects at an Early Stage Based on Viral Inoculation
- Automated Coding of Medical Diagnostics from Free-Text: the Role of Parameters Optimization and Imbalanced Classes
- A learning-based approach to combine medical annotation results
- Knowledge Graph Completion to Predict Polypharmacy Side Effects
- Big Biomedical Applications
- Lung Cancer Concept Annotation from Spanish Clinical Narratives
- Linked Data based Multi-Omics Integration and Visualization for Cancer Decision Networks
- The Hannover Medical School Enterprise Clinical Research Data Warehouse: 5 years of experience
- User-Driven Development of a Novel Molecular Tumor Board Support Tool
- Using Semantic Programming for developing a Web Content Management System for semantic Phenotype Data
- Converting Alzheimer's disease map into a heavyweight ontology: a formal network to integrate data.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-06016-9
- 9783030060169
- Access Restriction:
- Restricted for use by site license.
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