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.

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Auer, Sören (Editor), Vidal, Maria-Esther (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Lecture Notes in Bioinformatics ; 11371
Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of 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.