A knowledge representation system provides an important ser-vice to the rest of a knowledge-based system: it computes au-tomatically a set of inferences over the beliefs encoded within it. Given that the knowledge-based system relies on these infer-ences in the midst of its operation (i.e., its diagnosis, planning, or whatever), their computational tractability is an important concern. Here we present evidence as to how the cost of comput-ing one kind of inference is directly related to the expressiveness of the representation language. As it turns out, this cost is per-ilously sensitive to small changes in the representation language. Even a seemingly simple frame-based description language can pose intractable computational obstacles. 1
The paper studies description logics as a method of field of artificial intelligence, describes hist...
In the past 20 years, AI researchers in knowledge representation (KR) have implemented over 50 frame...
In the last several years the hybrid approach to Knowledge Representation has received much attentio...
Levesque and Brachman argue that in order to provide timely and correct responses in the most critic...
Effective optimisation techniques can make a dramatic difference in the performance of knowledge rep...
This report describes research done at the Artificial Intelligence Laboratory of the Massachusetts I...
This article discusses one type of data frame structure. Using the transit function of these models ...
We develop a methodology for comparing knowledge representation formalisms in terms of their "r...
AbstractA basic feature of Terminological Knowledge Representation Systems is to represent knowledge...
Briefly describes frame systems as a formalism for representing knowledge and then concentrates on t...
This thesis deals with one important aspect of Artificial Intelligence, knowledge representation and...
The basic feature of Terminological Knowledge Representation Systems is to represent knowledge by me...
We present lower bounds on the computational complexity of satisfiability and subsumption in several...
Against advocates of particular formalisms for representing all kinds of knowledge, this paper argue...
Current knowledge representation research has sought to provide schemes for encoding knowledge about...
The paper studies description logics as a method of field of artificial intelligence, describes hist...
In the past 20 years, AI researchers in knowledge representation (KR) have implemented over 50 frame...
In the last several years the hybrid approach to Knowledge Representation has received much attentio...
Levesque and Brachman argue that in order to provide timely and correct responses in the most critic...
Effective optimisation techniques can make a dramatic difference in the performance of knowledge rep...
This report describes research done at the Artificial Intelligence Laboratory of the Massachusetts I...
This article discusses one type of data frame structure. Using the transit function of these models ...
We develop a methodology for comparing knowledge representation formalisms in terms of their "r...
AbstractA basic feature of Terminological Knowledge Representation Systems is to represent knowledge...
Briefly describes frame systems as a formalism for representing knowledge and then concentrates on t...
This thesis deals with one important aspect of Artificial Intelligence, knowledge representation and...
The basic feature of Terminological Knowledge Representation Systems is to represent knowledge by me...
We present lower bounds on the computational complexity of satisfiability and subsumption in several...
Against advocates of particular formalisms for representing all kinds of knowledge, this paper argue...
Current knowledge representation research has sought to provide schemes for encoding knowledge about...
The paper studies description logics as a method of field of artificial intelligence, describes hist...
In the past 20 years, AI researchers in knowledge representation (KR) have implemented over 50 frame...
In the last several years the hybrid approach to Knowledge Representation has received much attentio...