research-article

Report on the Second International Workshop on Semantic Web Meets Health Data Management (SWH 2019)

Authors:

Haridimos Kondylakis,

Kostas Stefanidis,

Dave ParryAuthors Info & Claims

ACM SIGMOD Record, Volume 49, Issue 2

Pages 59 - 62

https://doi.org/10.1145/3442322.3442333

Published: 10 December 2020 Publication History

Abstract

The advancements in health-care have brought to the foreground the need for flexible access to health-related information and created an ever-growing demand for efficient data management infrastructures. To this direction, many challenges must be first overcome, enabling seamless, effective and efficient access to several health data sets and novel methods for exploiting the existing information. The second international workshop on semantic Web technologies for health data management aimed at putting together an interdisciplinary audience that is interested in the fields of semantic web, data management and health informatics to discuss the challenges in health-care data management and to propose new solutions for the next generation data-driven health-care systems. In this article, we summarize the outcomes of the workshop, and we present a number of key observations and research directions that emerge.

References

[1]

What information does an electronic health record (EHR) contain?, 2019. https://www.healthit.gov/faq/whatinformation- does-electronic-health-record-ehrcontain.

[2]

What is precision medicine?, 2019. https://ghr.nlm.nih.gov/primer/ precisionmedicine/definition.

[3]

A. Adadi and M. Berrada. Peeking inside the black-box: A survey on explainable artificial intelligence (XAI). IEEE Access, 6:52138--52160, 2018.

[4]

V. Christophides, V. Efthymiou, and K. Stefanidis. Entity Resolution in the Web of Data. Synthesis Lectures on the Semantic Web: Theory and Technology. Morgan & Claypool Publishers, 2015.

Digital Library

[5]

M. Dragoni, T. Bailoni, R. Maimone, and C. Eccher. Helis: An ontology for supporting healthy lifestyles. In ISWC, 2018. 2https://sites.google.com/view/swh2020

[6]

M. Dragoni, T. Bailoni, R. Maimone, M. Marchesoni, and C. Eccher. HORUS.AI - A knowledge-based solution supporting health persuasive self-monitoring. In ISWC, 2018.

[7]

M. Dragoni, C. Eccher, S. Forti, S. Puccini, B. Purin, and A. Valentini. Trec diabetes: A semantic platform for supporting the self-management of patients. In SWH, 2019.

[8]

M. Dragoni and V. Tamma. Extending helis: From chronic diseases to behavior change. In SWH, 2019.

[9]

P. S. Giannaris, C. Tang, O. Kholod, S. Hanson, C. Shyu, R. Hammer, D. Xu, and D. Shin. Modeling of contextual information in knowledge graphs of diagnostic reports. In SWH, 2019.

[10]

HL7. Fast healthcare interoperability resources, 2019. http://hl7.org/fhir.

[11]

H. Kondylakis and K. Stefanidis. Towards education and emotion based semantic group recommendations for health. In SWH, 2019.

[12]

G. Konstantinidis and J. L. Ambite. Scalable query rewriting: a graph-based approach. In SIGMOD, 2011.

Digital Library

[13]

K. Lee, Y. S. Lee, and Y. Nam. A model of fsm-based planner and dialogue supporting system for emergency call services. The Journal of Supercomputing, 74(9):4603--4612, 2018.

Digital Library

[14]

H. P´erez-Urbina, E. Rodr´?guez-D´az, M. Grove, G. Konstantinidis, and E. Sirin. Evaluation of query rewriting approaches for OWL 2. In SSWS+HPCSW, 2012.

[15]

K. Stefanidis, H. Kondylakis, and P. Rao, editors. Proceedings of the First International Workshop on Semantic Web Technologies for Health Data Management, SWH 2018, volume 2164 of CEUR Workshop Proceedings. CEUR-WS.org, 2018.

[16]

M. Stratigi, H. Kondylakis, and K. Stefanidis. Fairness in group recommendations in the health domain. In ICDE, pages 1481--1488, 2017.

[17]

M. Stratigi, H. Kondylakis, and K. Stefanidis. The fairgrecs dataset: A dataset for producing health-related recommendations. In SWH, 2018.

[18]

M. Stratigi, H. Kondylakis, and K. Stefanidis. Fairgrecs: Fair group recommendations by exploiting personal health information. In DEXA, 2018.

Digital Library

[19]

M. S. Teixeira, M. Dragoni, and C. Eccher. A planning strategy for dialogue management in healthcare. In SWH, 2019.

Cited By

Akatkin YYasinovskaya EBich MShilin A(2022)Collaboration At The Stage Of Semantic Assets Development2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)10.1109/ICECET55527.2022.9872572(1-6)Online publication date: 20-Jul-2022
https://doi.org/10.1109/ICECET55527.2022.9872572

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Information

Published In

cover image ACM SIGMOD Record

ACM SIGMOD Record Volume 49, Issue 2

June 2020

57 pages

ISSN:0163-5808

DOI:10.1145/3442322

Editors:
Rada Chirkova
North Carolina State University
,
Vanessa Braganholo
Universidade Federal Fluminense
,
Wim Martens
University of Bayreuth
,
Divesh Srivastava
ATT research
,
Pinar Tözü
IBM Almaden Research Center
,
Marianne Winslett
University of Illinois
,
Jun Yang
Duke University
,
Azza Abouzied
NYU
,
Lyublena Antova
Datometry
,
Aaron J. Elmore
University of Chicago
,
Kyriakos Mouratidis
Singapore Management University
,
Dan Olteanu
University of Oxford
,
Immanuel Trummer
Cornell University
,
Yannis Velegrakis
Utrecht University

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Copyright © 2020 Copyright is held by the owner/author(s).

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 December 2020

Published in SIGMOD Volume 49, Issue 2

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Cited By

Akatkin YYasinovskaya EBich MShilin A(2022)Collaboration At The Stage Of Semantic Assets Development2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)10.1109/ICECET55527.2022.9872572(1-6)Online publication date: 20-Jul-2022
https://doi.org/10.1109/ICECET55527.2022.9872572

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