Data Integration in the Life Sciences: 13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018, Proceedings (Lecture Notes in Computer Science Book 11371)

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. Front Matter ....Pages I-XI Front Matter ....Pages 1-1 Do Scaling Algorithms Preserve Word2Vec Semantics? A Case Study for Medical Entities (Janus Wawrzinek, José María González Pinto, Philipp Markiewka, Wolf-Tilo Balke)....Pages 3-16 Combining Semantic and Lexical Measures to Evaluate Medical Terms Similarity (Silvio Domingos Cardoso, Marcos Da Silveira, Ying-Chi Lin, Victor Christen, Erhard Rahm, Chantal Reynaud-Delaître et al.)....Pages 17-32 Construction and Visualization of Dynamic Biological Networks: Benchmarking the Neo4J Graph Database (Lena Wiese, Chimi Wangmo, Lukas Steuernagel, Armin O. Schmitt, Mehmet Gültas)....Pages 33-43 A Knowledge-Driven Pipeline for Transforming Big Data into Actionable Knowledge (Maria-Esther Vidal, Kemele M. Endris, Samaneh Jozashoori, Guillermo Palma)....Pages 44-49 Leaving No Stone Unturned: Using Machine Learning Based Approaches for Information Extraction from Full Texts of a Research Data Warehouse (Johanna Fiebeck, Hans Laser, Hinrich B. Winther, Svetlana Gerbel)....Pages 50-58 Front Matter ....Pages 59-59 Towards Research Infrastructures that Curate Scientific Information: A Use Case in Life Sciences (Markus Stocker, Manuel Prinz, Fatemeh Rostami, Tibor Kempf)....Pages 61-74 Interactive Visualization for Large-Scale Multi-factorial Research Designs (Andreas Friedrich, Luis de la Garza, Oliver Kohlbacher, Sven Nahnsen)....Pages 75-84 FedSDM: Semantic Data Manager for Federations of RDF Datasets (Kemele M. Endris, Maria-Esther Vidal, Sören Auer)....Pages 85-90 Poster Paper Data Integration for Supporting Biomedical Knowledge Graph Creation at Large-Scale (Samaneh Jozashoori, Tatiana Novikova, Maria-Esther Vidal)....Pages 91-96 DISBi: A Flexible Framework for Integrating Systems Biology Data (Rüdiger Busche, Henning Dannheim, Dietmar Schomburg)....Pages 97-102 Front Matter ....Pages 103-103 Using Machine Learning to Distinguish Infected from Non-infected Subjects at an Early Stage Based on Viral Inoculation (Ghanshyam Verma, Alokkumar Jha, Dietrich Rebholz-Schuhmann, Michael G. Madden)....Pages 105-121 Automated Coding of Medical Diagnostics from Free-Text: The Role of Parameters Optimization and Imbalanced Classes (Luiz Virginio, Julio Cesar dos Reis)....Pages 122-134 A Learning-Based Approach to Combine Medical Annotation Results (Victor Christen, Ying-Chi Lin, Anika Groß, Silvio Domingos Cardoso, Cédric Pruski, Marcos Da Silveira et al.)....Pages 135-143 Knowledge Graph Completion to Predict Polypharmacy Side Effects (Brandon Malone, Alberto García-Durán, Mathias Niepert)....Pages 144-149 Front Matter ....Pages 151-151 Lung Cancer Concept Annotation from Spanish Clinical Narratives (Marjan Najafabadipour, Juan Manuel Tuñas, Alejandro Rodríguez-González, Ernestina Menasalvas)....Pages 153-163 Linked Data Based Multi-omics Integration and Visualization for Cancer Decision Networks (Alokkumar Jha, Yasar Khan, Qaiser Mehmood, Dietrich Rebholz-Schuhmann, Ratnesh Sahay)....Pages 164-181 The Hannover Medical School Enterprise Clinical Research Data Warehouse: 5 Years of Experience (Svetlana Gerbel, Hans Laser, Norman Schönfeld, Tobias Rassmann)....Pages 182-194 User-Driven Development of a Novel Molecular Tumor Board Support Tool (Marc Halfmann, Holger Stenzhorn, Peter Gerjets, Oliver Kohlbacher, Uwe Oestermeier)....Pages 195-199 Using Semantic Programming for Developing a Web Content Management System for Semantic Phenotype Data (Lars Vogt, Roman Baum, Christian Köhler, Sandra Meid, Björn Quast, Peter Grobe)....Pages 200-206 Converting Alzheimer’s Disease Map into a Heavyweight Ontology: A Formal Network to Integrate Data (Vincent Henry, Ivan Moszer, Olivier Dameron, Marie-Claude Potier, Martin Hofmann-Apitius, Olivier Colliot)....Pages 207-215 Back Matter ....Pages 217-218