We have just published the complete conference program overview for ESWC 2024, with links to the accepted papers for all tracks:
We are looking forward to an exciting program this year at ESWC. If you haven’t yet, register now and join us in Crete on 26-30 May 2024!
We are pleased to announce that Peter Clark is going to be one of our keynotes!
Here some words about what he’s going to talk about at ESWC 2024
The Semantic Web was born from the need to reason over informal content (e.g., Web text), based on a fundamental premise: computers cannot process most of the information stored on Web pages.
It has led to major advances in knowledge representation, knowledge graphs, reasoning at scale, and more.
Today, though, language models (LMs) have ruptured the original premise: they showing surprising skill at processing text directly, offering new opportunities for knowledge management and the Semantic Web vision.
In this talk, I’ll illustrate three such opportunities we have been exploring: structured reasoning directly over natural language (NL) statements (NL inference); using LMs as tools for building formal and semi-formal world models; and using NL communication between agents to building robust multi-agent services. Finally I’ll speculate on what the future information world might look like with our new LM companions at our side.
We have just published the program for workshops & tutorials at ESWC 2024
We are pleased to announce that Elena Simperl is going to be one of our keynotes!
Here some words about what she’s going to talk about at ESWC 2024:
Knowledge engineering is about building and maintaining knowledge-based systems. As a field, it occupies a unique niche between software engineering, which involves crafting software that represents knowledge computationally, and AI, where software can reason upon knowledge representations to emulate human thought. During this talk, I shall delve into my personal journey within the realm of knowledge engineering. This journey afforded me insights into various methodologies and techniques across disciplines. Initially centred on attempts to reuse medical knowledge bases, it broadened my scope to contemplate principles, approaches, and tools for enhancing data and knowledge reuse across diverse applications.
It taught me the importance of fostering inclusivity and participation to ensure that, amidst the rise of large language models as an alternative knowledge representation, knowledge graphs persist in their pivotal role in upholding the truth infrastructure of the Internet.