Data integration in the life sciences : 13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018, Proceedings /: 13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018, Proceedings. (2019)
- Record Type:
- Book
- Title:
- Data integration in the life sciences : 13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018, Proceedings /: 13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018, Proceedings. (2019)
- Main Title:
- Data integration in the life sciences : 13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018, Proceedings
- Other Titles:
- DILS 2018
- Further Information:
- Note: Sören Auer, Maria-Esther Vidal (eds.).
- Editors:
- Auer, Sören, 1975-
Vidal, María Esther - Other Names:
- DILS (Conference), 13th
- 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-OmicsBig 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. … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2019
- Extent:
- 1 online resource (xi, 218 pages), illustrations (some color)
- Subjects:
- 005.74
Data integration (Computer science) -- Congresses
Bioinformatics -- Congresses
Medical informatics -- Congresses
Electronic books - Languages:
- English
- ISBNs:
- 9783030060169
3030060160 - Related ISBNs:
- 9783030060152
- Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed January 9, 2019).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.382033
- Ingest File:
- 02_363.xml