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Knowledge representation and reasoning

About: Knowledge representation and reasoning is a research topic. Over the lifetime, 20078 publications have been published within this topic receiving 446310 citations. The topic is also known as: KR & KR².


Papers
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Proceedings ArticleDOI
23 Mar 1992
TL;DR: An understanding system, designed for both speech and text input, has been implemented based on statistical representation of task specific semantic knowledge, which extracts words and their association to the conceptual structure of the task directly from the acoustic signal.
Abstract: An understanding system, designed for both speech and text input, has been implemented based on statistical representation of task specific semantic knowledge. The core of the system is the conceptual decoder, which extracts the words and their association to the conceptual structure of the task directly from the acoustic signal. The conceptual information, which is also used to clarify the English sentences, is encoded following a statistical paradigm. A template generator and an SQL (structured query language) translator process the sentence and produce SQL code for querying a relational database. Results of the system on the official DARPA test are given. >

109 citations

Journal ArticleDOI
TL;DR: The evaluation results of an expert system prototype, called ‘Read’, are discussed via the use of the Analytic Hierarchy Process and Expert Choice.
Abstract: Evaluation of expert systems is an important step in the knowledge engineering process. In recent years, emphasis has been placed on knowledge acquisition, knowledge representation, and inferencing mechanisms. However, evaluation, and to a lesser extent, validation, have been slightly overlooked. This paper addresses some of the evaluation techniques that have been used for measuring information systems effectiveness and expert systems effectiveness. Specific attention is focused on the Analytic Hierarchy Process and Expert Choice. The evaluation results of an expert system prototype, called ‘Read’, are discussed via the use of the Analytic Hierarchy Process and Expert Choice.

109 citations

03 Nov 1999
TL;DR: The RACE system is a knowledge representation system that implements a highly optimized tableaux calculus for an expressive description logic that offers reasoning services for multiple TBoxes and for multiple ABoxes as well.
Abstract: The RACE system is a knowledge representation system that implements a highly optimized tableaux calculus for an expressive description logic. It offers reasoning services for multiple TBoxes and for multiple ABoxes as well. The system implements the description logic ALCNHR+. This is the basic logic ALC augmented with number restrictions, role hierarchies and transitive roles. RACE supports the specification of general terminological axioms. A TBox may contain general concept inclusions (GCIs), which state the subsumption relation between two concept terms. Multiple definitions or even cyclic definitions of concepts can be handled by RACE.

109 citations

Book ChapterDOI
01 Jan 2008
TL;DR: This chapter presents the idea of knowledge representation and reasoning for the purpose of high-level robotic control to be central to cognitive robotics, which connects cognitive robotics not only to (traditional and less cognitive) robotics but also to other areas of artificial intelligence (AI) such as planning and agent-oriented programming.
Abstract: Publisher Summary Cognitive robotics is the study of the knowledge representation and reasoning problems faced by an autonomous robot (or an agent) in a dynamic and incompletely known world. This chapter presents the idea of knowledge representation and reasoning for the purpose of high-level robotic control to be central to cognitive robotics. This connects cognitive robotics not only to (traditional and less cognitive) robotics but also to other areas of artificial intelligence (AI) such as planning and agent-oriented programming. To illustrate the knowledge representation and reasoning issues relevant to high-level robotic control, the chapter discusses a Reiter's variant of the situation calculus. The situation calculus also deals with actions whose effects are deterministic—that is, where there is no doubt as to which fluents change and which do not. The chapter discusses some of the knowledge representation issues that arise in the context of cognitive robotics and describes problems in automated reasoning in the same setting.

109 citations

Book ChapterDOI
TL;DR: Based on results about knowledge representation within the theoretical framework of Formal Concept Analysis, relatively small bases for association rules from which all rules can be deduced are presented.
Abstract: Association rules are used to investigate large databases. The analyst is usually confronted with large lists of such rules and has to find the most relevant ones for his purpose. Based on results about knowledge representation within the theoretical framework of Formal Concept Analysis, we present relatively small bases for association rules from which all rules can be deduced. We also provide algorithms for their calculation.

108 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202378
2022192
2021390
2020528
2019566
2018509