TY - JOUR
T1 - Report on the Third International Workshop on Semantic Web Meets Health Data Management (SWH 2020)
AU - Kondylakis, Haridimos
AU - Stefanidis, Kostas
AU - Rao, Praveen
N1 - Funding Information:
So, first, and for most, it is super important to find a connecting theme in your research, and thats ’where ist’ good to get helpful inputs from your adviso. So,rI had a really spectacular advisor, Andy Pablo. When we started this project in 2013, it was a long shot because NVM was not commercially available. But we decided that it was the right time to explore this project. And it was through this connecting theme that we explored the different components of this thesis. Another suggestion that I have for students would be to actively reach out to mentors who can help shape their thesis. So, I had this great opportunity to do an internship at Microsoft Research, and my mentors at MSR encouraged me to focus on a new component of persistent memory database systems. And I got helpful pointers from Donald Kossmann and Phil Bernstein during my time there. My research was also supported by the Intel Science & Technology Center for Big Data thats ’based in MI.AT nd I was also part of the Parallel Data Lab at CMU. So, through these centers, I got several helpful pointers from Sam Madden, Greg Ganger, Garth Gibson, and Mike Stonebraker.
Publisher Copyright:
© Authors 2021.
PY - 2021/9
Y1 - 2021/9
N2 - Creating a holistic view of patient data comes with many challenges but also brings many benefits for disease prediction, prevention, diagnosis, and treatment. Especially in the COVID-19 era, this is more important than ever before. The third International Workshop on Semantic Web Meets Health Data Management (SWH) was aimed at bringing together an interdisciplinary audience who was interested in the fields of Semantic Web, data management, and health informatics. The workshop goal was to discuss the challenges in healthcare data management and to propose new solutions for the next generation of data-driven healthcare systems. In this article, we summarize the outcomes of the workshop, and we present a number of key observations and research directions that emerged from presentations.
AB - Creating a holistic view of patient data comes with many challenges but also brings many benefits for disease prediction, prevention, diagnosis, and treatment. Especially in the COVID-19 era, this is more important than ever before. The third International Workshop on Semantic Web Meets Health Data Management (SWH) was aimed at bringing together an interdisciplinary audience who was interested in the fields of Semantic Web, data management, and health informatics. The workshop goal was to discuss the challenges in healthcare data management and to propose new solutions for the next generation of data-driven healthcare systems. In this article, we summarize the outcomes of the workshop, and we present a number of key observations and research directions that emerged from presentations.
U2 - 10.1145/3503780.3503792
DO - 10.1145/3503780.3503792
M3 - Article
AN - SCOPUS:85120746053
SN - 0163-5808
VL - 50
SP - 32
EP - 35
JO - SIGMOD RECORD
JF - SIGMOD RECORD
IS - 3
ER -