SPaRKLE: Symbolic caPtuRing of knowledge for Knowledge graph enrichment with LEarning
Knowledge graphs (KGs) naturally capture the convergence of data and knowledge, making
them expressive frameworks for describing and integrating heterogeneous data in a …
them expressive frameworks for describing and integrating heterogeneous data in a …
[HTML][HTML] Pattern-based engineering of Neurosymbolic AI Systems
FJ Ekaputra - Journal of Web Semantics, 2024 - Elsevier
The symbiotic combination of sub-symbolic and symbolic AI techniques is a significant trend
in AI, leading to the fast-paced development of various techniques that integrate these …
in AI, leading to the fast-paced development of various techniques that integrate these …
Standardizing Knowledge Engineering Practices with a Reference Architecture
BP Allen, F Ilievski - arXiv preprint arXiv:2404.03624, 2024 - arxiv.org
Knowledge engineering is the process of creating and maintaining knowledge-producing
systems. Throughout the history of computer science and AI, knowledge engineering …
systems. Throughout the history of computer science and AI, knowledge engineering …
[PDF][PDF] Knowledge engineering in the age of neurosymbolic systems
The field of knowledge engineering is experiencing a substantial impact from the rapid
growth and widespread adoption of Neurosymbolic Systems (NeSys). In this paper, we …
growth and widespread adoption of Neurosymbolic Systems (NeSys). In this paper, we …