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| Titolo: |
Data Integration in the Life Sciences [[electronic resource] ] : 13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018, Proceedings / / edited by Sören Auer, Maria-Esther Vidal
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| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Edizione: | 1st ed. 2019. |
| Descrizione fisica: | 1 online resource (XI, 218 p. 81 illus., 62 illus. in color.) |
| Disciplina: | 005.74 |
| Soggetto topico: | Database management |
| Application software | |
| Artificial intelligence | |
| Mathematical logic | |
| Bioinformatics | |
| Database Management | |
| Information Systems Applications (incl. Internet) | |
| Artificial Intelligence | |
| Mathematical Logic and Formal Languages | |
| Computational Biology/Bioinformatics | |
| Persona (resp. second.): | AuerSören |
| VidalMaria-Esther | |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Data Integration in the Life Sciences ![]() |
| ISBN: | 3-030-06016-0 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 996466571303316 |
| Lo trovi qui: | Univ. di Salerno |
| Opac: | Controlla la disponibilità qui |