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ORCID12th DILS 2018: Hannover, Germany
- Sören Auer, Maria-Esther Vidal:
Data Integration in the Life Sciences - 13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018, Proceedings. Lecture Notes in Computer Science 11371, Springer 2019, ISBN 978-3-030-06015-2
Big Biomedical Data Integration and Management
- Janus Wawrzinek
, José María González Pinto, Philipp Markiewka, Wolf-Tilo Balke:
Do Scaling Algorithms Preserve Word2Vec Semantics? A Case Study for Medical Entities. 3-16 - Silvio Domingos Cardoso, Marcos Da Silveira, Ying-Chi Lin, Victor Christen, Erhard Rahm, Chantal Reynaud-Delaître, Cédric Pruski:
Combining Semantic and Lexical Measures to Evaluate Medical Terms Similarity. 17-32 - Lena Wiese, Chimi Wangmo, Lukas Steuernagel, Armin Otto Schmitt, Mehmet Gültas:
Construction and Visualization of Dynamic Biological Networks: Benchmarking the Neo4J Graph Database. 33-43 - Maria-Esther Vidal, Kemele M. Endris, Samaneh Jozashoori, Guillermo Palma:
A Knowledge-Driven Pipeline for Transforming Big Data into Actionable Knowledge. 44-49 - Johanna Fiebeck, Hans Laser, Hinrich B. Winther, Svetlana Gerbel:
Leaving No Stone Unturned: Using Machine Learning Based Approaches for Information Extraction from Full Texts of a Research Data Warehouse. 50-58
Data Exploration in the Life Sciences
- Markus Stocker, Manuel Prinz, Fatemeh Rostami, Tibor Kempf:
Towards Research Infrastructures that Curate Scientific Information: A Use Case in Life Sciences. 61-74 - Andreas Friedrich, Luis de la Garza, Oliver Kohlbacher, Sven Nahnsen:
Interactive Visualization for Large-Scale Multi-factorial Research Designs. 75-84 - Kemele M. Endris, Maria-Esther Vidal, Sören Auer:
FedSDM: Semantic Data Manager for Federations of RDF Datasets. 85-90 - Samaneh Jozashoori, Tatiana Novikova, Maria-Esther Vidal:
Poster Paper Data Integration for Supporting Biomedical Knowledge Graph Creation at Large-Scale. 91-96 - Rüdiger Busche, Henning Dannheim, Dietmar Schomburg:
DISBi: A Flexible Framework for Integrating Systems Biology Data. 97-102
Biomedical Data Analytics
- Ghanshyam Verma, Alokkumar Jha, Dietrich Rebholz-Schuhmann, Michael G. Madden:
Using Machine Learning to Distinguish Infected from Non-infected Subjects at an Early Stage Based on Viral Inoculation. 105-121 - Luiz Virginio, Júlio Cesar dos Reis:
Automated Coding of Medical Diagnostics from Free-Text: The Role of Parameters Optimization and Imbalanced Classes. 122-134 - Victor Christen, Ying-Chi Lin, Anika Groß, Silvio Domingos Cardoso, Cédric Pruski, Marcos Da Silveira, Erhard Rahm:
A Learning-Based Approach to Combine Medical Annotation Results - (Short Paper). 135-143 - Brandon M. Malone, Alberto García-Durán, Mathias Niepert:
Knowledge Graph Completion to Predict Polypharmacy Side Effects. 144-149
Big Biomedical Applications
- Marjan Najafabadipour, Juan Manuel Tuñas, Alejandro Rodríguez González, Ernestina Menasalvas:
Lung Cancer Concept Annotation from Spanish Clinical Narratives. 153-163 - Alokkumar Jha, Yasar Khan, Qaiser Mehmood, Dietrich Rebholz-Schuhmann, Ratnesh Sahay:
Linked Data Based Multi-omics Integration and Visualization for Cancer Decision Networks. 164-181 - Svetlana Gerbel, Hans Laser, Norman Schönfeld, Tobias Rassmann:
The Hannover Medical School Enterprise Clinical Research Data Warehouse: 5 Years of Experience. 182-194 - Marc Halfmann, Holger Stenzhorn, Peter Gerjets, Oliver Kohlbacher, Uwe Oestermeier:
User-Driven Development of a Novel Molecular Tumor Board Support Tool. 195-199 - Lars Vogt, Roman Baum, Christian Köhler, Sandra A. Meid, Björn Quast, Peter Grobe:
Using Semantic Programming for Developing a Web Content Management System for Semantic Phenotype Data. 200-206 - Vincent Henry, Ivan Moszer, Olivier Dameron, Marie-Claude Potier, Martin Hofmann-Apitius, Olivier Colliot:
Converting Alzheimer's Disease Map into a Heavyweight Ontology: A Formal Network to Integrate Data. 207-215
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