K-CAP 2027

Knowledge has played a fundamental role since the inception of Artificial Intelligence. While the forms in which algorithms have leveraged knowledge have evolved over time, the need for efficient representations is ever more critical. Recent advances in AI, such as the stunning performance of large language models, have relied on the large amount of data available on the Web. There is growing agreement among researchers that it's important to look beyond the sheer volume of data and instead prioritize the development of methods that are accurate, precise, and efficient for capturing knowledge.

The International Conference on Knowledge Capture (K-CAP) aims at bringing together an interdisciplinary group of researchers on a diverse set of topics with an interest in the development of knowledge capture. This involves the design and development of formalisms, methods, and tools that enable efficient and precise extraction and organization of knowledge from different sources and for various modalities of use, including, for example, automated reasoning, machine learning, and human-machine teaming.

K-CAP 2027 will take place on September 13⁠–⁠15, 2027 at Carnegie Mellon University in Pittsburgh, PA, USA, co-located with NeSy 2027, the International Conference on Neurosymbolic Learning and Reasoning.

We look forward to welcoming you to K-CAP 2027. More details about the venue, the calls and the programme will be announced soon.

Sponsors

To be announced