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ORCIDSWAT4LS 2017: Rome, Italy
- Adrian Paschke, Albert Burger, Andrea Splendiani, M. Scott Marshall, Paolo Romano, Valentina Presutti:
Proceedings of the 10th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4LS 2017), Rome, Italy, December 4-7, 2017. CEUR Workshop Proceedings 2042, CEUR-WS.org 2018
Long Papers
- Md. Rezaul Karim, Matthias Heinrichs, Lars Christoph Gleim, Michael Cochez, Emily Porter, Alessandra La Gioia, Saqib Salahuddin, Stefan Decker, Martin O'Halloran, Oya Beyan:
Towards a FAIR Sharing of Scientific Experiments: Improving Discoverability and Reusability of Dielectric Measurements of Biological Tissues. - Attila L. Egyedi, Martin J. O'Connor, Marcos Martínez Romero, Debra Willrett, Josef Hardi, John Graybeal, Mark A. Musen:
Embracing Semantic Technology for Better Metadata Authoring in Biomedicine. - William Van Woensel, Patrice C. Roy, Syed Sibte Raza Abidi:
Achieving Pro-Active Guidance of Patients through ADL using Knowledge-Driven Activity Recognition and Complex Semantic Workflows. - Maria Biryukov, Valentin Grouès, Venkata P. Satagopam:
BioKB - Text mining and semantic technologies for the biomedical content discovery. - Harold Solbrig, Eric Prud'hommeaux, Guoqian Jiang:
Blending FHIR RDF and OWL. - Syed Abdullah Ali, Riza Theresa Batista-Navarro:
Clustering Cancer Drugs According to their Mechanisms of Action. - Tareq B. Malas, Roman Kudrin, Sergei Starikov, Dorien Peters, Marco Roos, Peter A. C. 't Hoen, Kristina M. Hettne:
Semantic Knowledge Graph Network Features for Drug Repurposing. - Tyler Wheeler, Samina Abidi:
Approach to an Ontology-based Mobile Intervention for Patients with Hypertension. - Tarcisio M. Farias, Hirokazu Chiba, Jesualdo Tomás Fernández-Breis:
Leveraging Logical Rules for Efficacious Representation of Large Orthology Datasets. - Mercedes Argüello Casteleiro, Catalina Martínez-Costa, Jose Julio Des Diz, Maria Jesus Fernandez Prieto, Chris Wroe, Diego Maseda-Fernandez, George Demetriou, Goran Nenadic, John A. Keane, Stefan Schulz, Robert Stevens:
Experiments to Create Ontology-based Disease Models for Diabetic Retinopathy from Different Biomedical Resources. - Remzi Çelebi, Özgün Erten, Michel Dumontier:
Machine Learning Based Drug Indication Prediction Using Linked Open Data.
Short Papers
- Shahad Kudama, Rafael Berlanga Llavori, Ernesto Jiménez-Ruiz:
Enriching the Human Phenotype Ontology with Inferred Axioms from Textual Descriptions. - Gossa Lô, Victor de Boer, Stefan Schlobach:
Linking African Traditional Medicine Knowledge. - William Van Woensel, Wasif Baig, Syed Sibte Raza Abidi, Samina Abidi:
A Semantic Web Framework for Behavioral User Modeling and Action Planning for Personalized Behavior Modification. - Guoqian Jiang, Eric Prud'hommeaux, Harold Solbrig:
Developing a Semantic Web-based Framework for Executing the Clinical Quality Language Using FHIR.
Posters and Demos
- Alberto Calderone, Luana Licata, Elisa Micarelli, Livia Perfetto, Gianni Cesareni:
Revealing Disease Similarities by Text Mining. - José Antonio Bernabé-Díaz, María Del Carmen Legaz-García, José Manuel García Carrasco, Jesualdo Tomás Fernández-Breis:
Optimizing Semantic Data Transformation Using High Performance Computing Techniques. - Ernesto Jiménez-Ruiz, Dag Hovland, Laura Slaughter, Tony Håndstad, Arild Waaler:
On Improving the Phenotype Acquisition Process Using Semantic Web Technology. - Luana Loubet Borges, André Santanchè:
BioGraph: Linking Biological Bases Across Organisms. - Filip Pattyn, Bérénice Wulbrecht, Kenny Knecht, Hans Constandt:
Assessment of FAIRness of Open Data Sources in Life Sciences. - Ray Dueñas Jimínez, André Santanchè, Roger Vieira Horvat, Marcelo Schweller, Tiago de Araujo Guerra Grangeia, Marco Antonio de Carvalho-Filho:
Fuzzy Knowledge Base for Medical Training. - Claudio Carta, Marco Roos, Annika Jacobsen, Rajaram Kaliyaperumal, Mark Thompson, Mark D. Wilkinson, Ronald Cornet, Andra Waagmeester, David van Enckevort, Mascha Jansen, Luana Licata, Allegra Via, Domenica Taruscio:
The FAIRification of Data and the Potential of FAIR Resources Demonstrated, in Practice, at the Rome Bring Your Own Data Workshop. - Atsuko Yamaguchi, Kouji Kozaki, Yasunori Yamamoto, Hiroshi Masuya, Norio Kobayashi:
LOD Surfer API: Web API for LOD Surfing Using Class-Class Relationships in Life Sciences. - Norio Kobayashi, Satoshi Kume, Hiroshi Masuya:
Metadata-driven Interdisciplinary Research Projects Using RIKEN MetaDatabase. - Leyla J. García, Olga L. Giraldo, Alexander García Castro, Michel Dumontier, Bioschemas Community:
Bioschemas: schema.org for the Life Sciences. - Aisha Blfgeh, Phillip Lord:
Document-centric Workflow: a Framework for Ontology Development. - Ryan A. Miller, Denise N. Slenter, Martina Kutmon, Jonathan Mélius, Georg Summer, Chris T. A. Evelo, Egon L. Willighagen:
Visualizing Metabolomics Data in Directed Biological Networks. - Alexander García Castro, Erick Antezana, Jael García, Olga L. Giraldo, Pjotr Prins, Rutger A. Vos:
Shō-coin: A Knowledge-Based Economy for Life Sciences. - Pantelis Natsiavas, Vassilis Koutkias:
Towards an Ontology for Sharing Information on Pharmacovigilance Signals. - Mayumi Kamada, Toshiaki Katayama, Shuichi Kawashima, Ryosuke Kojima, Masahiko Nakatsui, Yasushi Okuno:
Construction of Knowledge-Base for Clinical Interpretation of Genomic Variants. - Bérénice Wulbrecht, Filip Pattyn, Kenny Knecht, Hans Constandt:
DISQOVER: Through the Large Data Landscape of Life Sciences. - Shuichi Kawashima, Toshiaki Katayama:
SPARQL-Proxy: A Generic Proxy Server for SPARQL Endpoint. - Toshiaki Katayama, Shuichi Kawashima:
SPARQList: Markdown-Based Highly Configurable REST API Hosting Server for SPARQL. - Adam Craig, Seung Ho Bae, Carl Taswell:
Message Exchange between Independent Implementations of Servers in the Nexus-PORTAL-DOORS System. - Mark Thompson, Luiz Olavo Bonino da Silva Santos, Kees Burger, Rajaram Kaliyaperumal, Erik A. Schultes, Annika Jacobsen, Claudio Carta, Richard Finkers, David van Enckevort, Mascha Jansen, Barend Mons, Marco Roos:
Overview of a Suite of Tools and Training Material for Implementing FAIR Data Principles.
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