Results 171 to 180 of about 46,914,641 (236)

CyclicPepedia: a knowledge base of natural and synthetic cyclic peptides. [PDF]

Brief Bioinform
Liu L, Yang L, Cao S, Gao Z, Yang B, Zhang G, Zhu R, Wu D.   +7 more
europepmc   +1 more source

The influence of proximity and knowledge base on recombination innovation in R&D collaboration. [PDF]

PLoS One
Nan D.
europepmc   +1 more source

PheMIME: an interactive web app and knowledge base for phenome-wide, multi-institutional multimorbidity analysis. [PDF]

J Am Med Inform Assoc
Zhang S, Strayer N, Vessels T, Choi K, Wang GW, Li Y, Bejan CA, Hsi RS, Bick AG, Velez Edwards DR, Savona MR, Phillips EJ, Pulley JM, Self WH, Hopkins WC, Roden DM, Smoller JW, Ruderfer DM, Xu Y.   +18 more
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Knowledge structures in a knowledge base

Expert Systems, 2016
AbstractRough set theory is a useful tool for dealing with imprecise knowledge. One of the advantages of rough set theory is the fact that an unknown target concept can be approximately characterized by existing knowledge structures in a knowledge base. This paper explores knowledge structures in a knowledge base.
Qingguo Li, Zhaowen Li
exaly   +3 more sources

An automatic method for constructing machining process knowledge base from knowledge graph

Robotics and Computer-Integrated Manufacturing, 2022
Yuqian Lu
exaly   +2 more sources

∗-reductions in a knowledge base

Information Sciences, 2015
One of the advantages of rough set theory is the fact that an unknown target concept can be approximately characterized based on existing knowledge structures in a knowledge base. Knowledge reductions are one of the key problems in the study of rough set theory. In this paper, ?-reductions and their features in a knowledge base are explored.
exaly   +2 more sources

Knowledge-based robotics†

International Journal of Production Research, 1988
A major hurdle in the development of intelligent robots is that we still do not possess efficient computational and representational methodologies for emulating knowledge and expectation driven behavior so basic to human cognition and problem solving. Even if we use techniques such as geometric modeling for representing objects in the robot world, we ...
Avinash C. Kak, A. J. Vayda, Robert L. Cromwell, W. Y. Kim, Chien-Hue Chen   +4 more
openaire   +2 more sources

Design of knowledge-based systems with a knowledge-based assistant

IEEE Transactions on Software Engineering, 1988
The authors propose a model for an intelligent assistant to aid in building knowledge-based systems (KBSs) and discuss a preliminary implementation. The assistant participates in KBS construction, including acquisition of an initial model of a problem domain, acquisition of control and task-specific inference knowledge, testing and validation, and long-
Eric Schoen, Reid G. Smith, Bruce G. Buchanan   +2 more
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Knowledge acquisition for knowledge-based systems

IEEE Expert, 1991
The work reported at the first Japanese Knowledge Acquisition for Knowledge-Based Systems Workshop is discussed, providing both an overview of the field and an introduction to a series of articles on knowledge acquisition. The discussion covers tools, methods, and mediating representations; real-time problem solving; the system-model-operator metaphor;
Hiroshi Motoda, Riichiro Mizoguchi, John H. Boose, Brian R. Gaines   +3 more
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Knowledge Bases with Output

Knowledge and Information Systems, 2000
In this paper we shall propose a knowledge representation method, the deduction process in a knowledge representation and reasoning system using this method and therefore the answer function of such a system. This is an algebraic method because some concepts of universal algebra are used.
openaire   +2 more sources