The ESWC 2020 Ph.D. Symposium is a forum for Ph.D. students working in all areas of Semantic Web research to present their work, meet with peers and experienced researchers, receive feedback, and learn from each other’s experiences. It aims at helping Ph.D. students in developing the skills and confidence required to conduct and promote their research, as well as providing them with an opportunity to attend one of the most important research conferences on the Semantic Web.
The ESWC Ph.D. Symposium will give students the opportunity to:
- Learn by constructive criticism: Established researchers and Ph.D. student advisors will provide constructive feedback to the submitted papers by means of an open and non-adversarial review process.
- Learn from a mentor: Each student of an accepted paper will be assigned to a mentor- a selected member of the programme committee. Students will interact with their mentors on both the revision of their papers and the preparation of their presentations.
- Learn about research: Doing good research goes beyond writing a good paper; it includes perspectives on research as an endeavour and a career. Besides the presentations, coffee breaks and the Ph.D. mentoring lunch will be used to exchange ideas and ask questions about all aspects of pursuing a Ph.D. and a research career in general.
- Learn by presenting: Accepted contributions will be presented at the Ph.D. Symposium. All accepted contributions will also be included at the general poster session of ESWC. Students’ posters will be presented alongside posters and demonstrations of the main conference.
Additional information can be found in the Call for Ph.D. Symposium.
Ph.D. Symposium – June 2, 2020
|10:00 – 11:00||PhD Symposium Opening|
|10:00 – 10:15||
Opening and Introductions
|10:15 – 11:00||
Keynote Stefan Schlobach & Discussion
|11:00 – 11:30||Break|
|11:30 – 13:15||Session 1: Knowledge Graph Management|
|11:30 – 12:05||
Towards Transforming Tabular Datasets into Knowledge Graphs
|12:05 – 12:40||
Domain-Specific Knowledge Graph Construction for Semantic Analysis
|12:40 – 13:15||
Enabling Web-scale Knowledge Graphs Querying
|13:15 – 14:00||Lunch|
|14:00 – 15:45||Session 2: Machine Learning and the Semantic Web|
|14:00 – 14:35||
Explicable Question Answering
|14:35 – 15:10||
Evolving meaning for supervised learning in complex biomedical domains using knowledge graphs
|15:10 – 15:45||
Semantic Parsing of Textual Requirements
Ole Magnus Holter
|15:45 – 16:15||Break|
|16:15 – 16:50||Session 3: Ontologies|
|16:15 – 16:50||
Towards Automatic Matching of Domain-Specific Schemas Utilizing General Purpose External Background Knowledge
Jan Philipp Portisch
|16:50 – 17:00||Closing|