Date: November 11, 2024
The ISWC 2024 Doctoral Consortium (DC) will take place as part of the 23rd International Semantic Web Conference. This forum will provide PhD students an opportunity to:
● present and discuss their research ideas in a supportive, formative and yet critical environment.
● receive feedback from mentors, typically senior members of the Semantic Web research community, and peers.
● explore career pathways available after completing a PhD degree, and finally
● network and build collaborations with other members of the community.
Students who do not have a paper in the DC – be they PhD or Masters students – are highly encouraged to attend as the feedback provided on talks can be useful for their projects too!
Schedule
Welcome and Introduction
9:00
Session 1: Data management
9:25
9:50
10:15
Sayed Hoseini. Semantic Data Management for managing heterogeneous data sources in Chemistry 4.0
Wout Slabbinck.The need for Usage Control in Decentralized and Federated ecosystems
Romuald Esdras Wandji. Improving the Cost of Updates in Virtual Knowledge Graphs
Break
10:40 – 11:00
Session 2: Machine Learning
11:00
11:25
11:50
Abhilekha Dalal. Understanding CNN Hidden Neuron Activations using Concept Induction over Background Knowledge
Adrita Barua.
Concept Induction using LLMs
Majlinda Llugiqi. Exploring Knowledge Graphs for Machine Learning Enhancement
Mentoring Lunch
12:40 – 14:00
Keynote
14:00 – 14:50
Kavitha Srinivas, IBM. Lessons I Unlearnt
Session 3: Knowledge Graph Construction
14:50
15:15
Mary Ann Tan. Knowledge Graph Construction and Refinement for Cultural Heritage Digital Libraries
Mahsa Vafaie. German National Socialist Injustice on the Semantic Web: from archival records to a knowledge graph
Break
14:40 – 16:00
Session 4: Applications & Retrieval
16:00
16:25
16:50
17:15
Miriam Z. Muchika, Pauline Folz, Fano Ramparany, Flavien Balbo, Shenle Pan. Knowledge Management Framework for Autonomous Digital Twins
Katrin Schreiberhuber. Semantics-enabled System Transparency: User-centered Explanations in Cyber-Physical Systems
Mark Nicolas Gruensteidl.Information Disorder Detection applying a hybrid NLP and Knowledge Graph-based Solution Approach
Qiaosheng Chen.
Content-based dense retrieval of open datasets
Close
17:40
Dinner
19:00 – 23:00
DC Dinner at offsite location TBA and self-funded.