Principles of Knowledge Representation and Reasoning

KR 2022


Databases & Information Systems



Call for Papers
Knowledge Representation and Reasoning (KR) is a well-established and lively field of research. In KR a fundamental assumption is that an agent's knowledge is explicitly represented in a declarative form, suitable for processing by dedicated reasoning engines. This assumption, that much of what an agent deals with is knowledge-based, is common in many modern intelligent systems. Consequently, KR has contributed to the theory and practice of various areas in AI, including automated planning and natural language understanding, and to fields beyond AI, including databases, verification, software engineering, and robotics. In recent years, KR has contributed also to new and emerging fields, including the semantic web, computational biology, cyber security, and the development of software agents.
The KR conference series is the leading forum for timely in-depth presentation of progress in the theory and principles underlying the representation and computational management of knowledge.
We solicit papers presenting novel results on the principles of KR that clearly contribute to the formal foundations of relevant problems or show the applicability of results to implemented or implementable systems. We also welcome papers from other areas that show clear use of, or contributions to, the principles or practice of KR. We also encourage "reports from the field" of applications, experiments, developments, and tests.
Submission Guidelines
The Applications and Systems Track will allow contributions of both regular papers (9 pages) and short papers (4 pages), excluding references, prepared and submitted according to the authors guidelines in the submission page.
General Chair
Gerhard Lakemeyer RWTH Aachen University, Germany
Program Chairs
Gabriele Kern-Isberner TU Dortmund, Germany
Thomas Meyer University of Cape Town and CAIR, South Africa