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Data integration in the life science...
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Data integration in the life sciences13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018 : proceedings /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Data integration in the life sciencesedited by Soren Auer, Maria-Esther Vidal.
Reminder of title:
13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018 : proceedings /
remainder title:
DILS 2018
other author:
Auer, Soren.
corporate name:
Published:
Cham :Springer International Publishing :2019.
Description:
xi, 218 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Data integration (Computer science)
Online resource:
https://doi.org/10.1007/978-3-030-06016-9
ISBN:
9783030060169$q(electronic bk.)
Data integration in the life sciences13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018 : proceedings /
Data integration in the life sciences
13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018 : proceedings /[electronic resource] :DILS 2018edited by Soren Auer, Maria-Esther Vidal. - Cham :Springer International Publishing :2019. - xi, 218 p. :ill., digital ;24 cm. - Lecture notes in computer science,113710302-9743 ;. - Lecture notes in computer science ;4891..
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.
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.
ISBN: 9783030060169$q(electronic bk.)
Standard No.: 10.1007/978-3-030-06016-9doiSubjects--Topical Terms:
558019
Data integration (Computer science)
LC Class. No.: QA76.9.D338
Dewey Class. No.: 005.74
Data integration in the life sciences13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018 : proceedings /
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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.
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based on 0 review(s)
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