Vol-2477
urn:nbn:de:0074-2477-5

Copyright © 2019 for the individual papers by the papers' authors. Copyright © 2019 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

SeWeBMeDa 2019
Semantic Web Solutions for Large-Scale Biomedical Data Analytics

Proceedings of the Workshop on Semantic Web Solutions for Large-Scale Biomedical Data Analytics
co-located with 18th International Semantic Web Conference (ISWC 2019)

Auckland, New Zealand, October 27th, 2019.

Edited by

Ali Hasnain *
Vit Novacek *
Michel Dumontier
Dietrich Rebholz-Schuhmann *

* National University of Ireland Galway, Data Science Institute
** Maastricht University, Institute of Data Science
*** University of Cologne, ZBMED - Information Center for Life Sciences

Table of Contents

Session 1: Keynote

Knowledge Graph Quality Management (invited talk) i-ii
Gianluca Demartini

Session 2: Ontology Matching and Alignment

Ontology Changes-Driven Semantic Refinement of Cross-Language Biomedical Ontology Alignments 1-15
Juliana Medeiros Destro, Julio Cesar dos Reis, Ricardo da Silva Torres Ivan Ricarte
Updating Ontology Alignments in Life Sciences based on New Concepts and their Context 16-30
Victor Eiti Yamamoto, Julio Cesar dos Reis

Session 3: Life Science Linked Open Data (LS-LOD)

A Cancer Genomics Data Space within the Linked Open Data (LOD) Cloud 31-39
Durre Zehra, Alokkumar Jha, Yasar Khan, Ali Hasnain, Mathieu d'Aquin, Ratnesh Sahay
Understanding Link Changes in LOD via the Evolution of Life Science Datasets 40-54
André Gomes Regino, Julio Kiyoshi Rodrigues Matsoui, Julio Cesar dos Reis, Rodrigo Bonacin, Ahsan Morshed, Timos Sellis

Session 4: Semantic-Aware Clinical Practices and Decision Support

Enabling Trust in Clinical Decision Support Recommendations through Semantics 55-67
Oshani Seneviratne, Amar K. Das, Shruthi Chari, Nkechinyere N. Agu, Sabbir M. Rashid, Ching-Hua Chen, James P. McCusker, James A. Hendler , Deborah L. McGuinness
G-PROV: Provenance Management for Clinical Practice Guidelines 68-75
Nkechinyere N. Agu, Neha Keshan, Shruthi Chari, Oshani Seneviratne, James P. McCuske, Deborah L. McGuinness

2019-10-09: submitted by Vit Novacek, metadata incl. bibliographic data published under Creative Commons CC0
2019-10-09: published on CEUR-WS.org |valid HTML5|