It is our great pleasure to welcome you to the 12th ACM International Conference on Knowledge Capture: K-CAP 2023, held in person on December 5th - 7th in Pensacola, Florida, US.
Driven by the increasing demands for knowledge-based applications and the unprecedented availability of information from heterogeneous data sources, the study of knowledge capture is of crucial importance. Knowledge capture involves the extraction of useful knowledge from vast and diverse data sources as well as its acquisition directly from human experts.
Nowadays knowledge is derived from an increasingly diverse set of data resources that differ with regard to their domain, format, quality, coverage, specificity, viewpoint, bias, and most importantly, consumers and producers of data. The heterogeneity, amount and complexity of data allow us to answer complex questions that could not be answered in isolation, requiring the interaction of different scientific fields and technologies. A goal of K-CAP is to develop such synergies using systematic and rigorous methodologies.
The call for papers attracted 105 submissions from all over the world, covering a diverse range of topics spanning knowledge mining, large language models for information extraction, neuro-symbolic approaches for knowledge capture, knowledge engineering, question-answering, knowledge graphs, natural language processing, reasoning, entity linking, querying and knowledge-based applications. From a competitive set of high-quality submissions, we accepted 27 long research papers, 5 short papers, and 1 vision paper. The high-quality program is divided into 7 research sessions, in addition to 3 tutorials reflecting novel topics of interest in Knowledge Capture.
We encourage everyone to attend the keynote talks that we have planned for K-CAP 2023. The highly anticipated talks by Dr. Robert R. Hoffman (Florida Institute for Human and Machine Cognition) and Dr. Jane Pinelis (Johns Hopkins University Applied Physics Laboratory) will guide us to a better understanding of the future of knowledge capture and explainable, resilient AI ecosystems, as they become commonplace in real world applications.
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- Proceedings of the 12th Knowledge Capture Conference 2023