Knowledge Representation and Reasoning (KR&R) is a well-established and vibrant field of research. KR&R techniques are key drivers of innovation in computer science, and they have led to significant advances in practical applications in a wide range of areas from Artificial Intelligence to Software Engineering. The underlying approach of explicitly representing knowledge in a tangible form, suitable for processing by dedicated reasoning engines, is a fundamental component of many modern intelligent systems. Foundational and applied research in KR&R contributes to the principles of artificial intelligence. It also contributes to the foundations of longstanding fields including automated planning, databases, and software engineering. In recen...
Knowledge Representation and Reasoning (KRR) has developed a wide range of methods for repre-senting...
This special issue presents a selection of papers in Knowledge Representation (KR
German Journal of Artificial Intelligence (KI). Volume 19, Issue 1, Pages 5-11, 2005.ABSTRACT: This ...
Knowledge representation and reasoning (KR&R) lies at the heart of artificial intelligence research ...
International audienceThe Knowledge Representation (KR) conferences have established themselves as t...
The KR conference series is the leading forum for timely in-depth presentation of progress in the th...
Knowledge representation and reasoning (KR) stems from a deep tradition in logic. In particular, it ...
The development of effective techniques for knowledge representation and reasoning (KRR) is a crucia...
Preface Knowledge Representation is one of the major topics in AI. Its concerns are (logi-cal) forma...
Special Issue on Knowledge RepresentationInternational audienceThis special issue presents a selecti...
Knowledge Representation and Reasoning is a central, longstanding, and active area of Artificial Int...
International audienceVersatile and effective techniques for knowledge representation and reasoning ...
Chapter 20, Knowledge Representation and Question Answering, co-authored by Yuliya Lierler, UNO facu...
Final report edited by Natasha Noy and Deborah McGuinness. Report Section 4.1.1 Hybrid KR, co-author...
Knowledge representation and reasoning (KR) stems from a deep tradition in logic. In particular, it ...
Knowledge Representation and Reasoning (KRR) has developed a wide range of methods for repre-senting...
This special issue presents a selection of papers in Knowledge Representation (KR
German Journal of Artificial Intelligence (KI). Volume 19, Issue 1, Pages 5-11, 2005.ABSTRACT: This ...
Knowledge representation and reasoning (KR&R) lies at the heart of artificial intelligence research ...
International audienceThe Knowledge Representation (KR) conferences have established themselves as t...
The KR conference series is the leading forum for timely in-depth presentation of progress in the th...
Knowledge representation and reasoning (KR) stems from a deep tradition in logic. In particular, it ...
The development of effective techniques for knowledge representation and reasoning (KRR) is a crucia...
Preface Knowledge Representation is one of the major topics in AI. Its concerns are (logi-cal) forma...
Special Issue on Knowledge RepresentationInternational audienceThis special issue presents a selecti...
Knowledge Representation and Reasoning is a central, longstanding, and active area of Artificial Int...
International audienceVersatile and effective techniques for knowledge representation and reasoning ...
Chapter 20, Knowledge Representation and Question Answering, co-authored by Yuliya Lierler, UNO facu...
Final report edited by Natasha Noy and Deborah McGuinness. Report Section 4.1.1 Hybrid KR, co-author...
Knowledge representation and reasoning (KR) stems from a deep tradition in logic. In particular, it ...
Knowledge Representation and Reasoning (KRR) has developed a wide range of methods for repre-senting...
This special issue presents a selection of papers in Knowledge Representation (KR
German Journal of Artificial Intelligence (KI). Volume 19, Issue 1, Pages 5-11, 2005.ABSTRACT: This ...