scispace - formally typeset
Journal ArticleDOI

Determining Type, Part, Color, and Time Relationships

Schubert, +2 more
- 01 Oct 1983 - 
- Vol. 16, Iss: 10, pp 53-60
TLDR
Methods are described that are designed to supplement a deductive question-answering algorithm that is now operational that draws on a base of logical propositions organized as a semantic net.
Abstract
The development of a simple question-answering system is considered. In particular, methods are described that are designed to supplement a deductive question-answering algorithm that is now operational. The algorithm draws on a base of logical propositions organized as a semantic net. The net permits selective access to the contents of individual mental worlds and narratives, to sets of entities of any specified type, and to propositions involving any specified entity and classified under any specified topic. The problems involved in determining type, part-of, color, and time relationships are discussed. It is shown that much combinatory reasoning in a question-answering system can be short-circuited by the use of special graphical and geometrical methods. 13 references.

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Citations
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Book

Knowledge Representation and Reasoning

TL;DR: This landmark text takes the central concepts of knowledge representation developed over the last 50 years and illustrates them in a lucid and compelling way, and offers the first true synthesis of the field in over a decade.
Journal ArticleDOI

Efficient management of transitive relationships in large data and knowledge bases

TL;DR: This work presents a transitive closure compression technique, based on labeling spanning trees with numeric intervals, and provides both analytical and empirical evidence of its efficacy, including a proof of optimality.
Book

Ontological semantics

TL;DR: This book is divided into two parts: a philosophical part I and a practical part II, in which the authors present their text-meaning representation (TMR) and demonstrate how it is used in language analysis and critique many alternative views of semantics.
Journal ArticleDOI

Understanding semantic relationships

TL;DR: This article explores some of the lesser-recognized semantic relationships and discusses both how they could be captured, either manually or by using an automated tool, and their impact on database design.
Journal ArticleDOI

EASY: Efficient semAntic Service discoverY in pervasive computing environments with QoS and context support

TL;DR: Experimental results show that the deployment of EASY on top of an existing SDP, namely Ariadne, enables rich semantic, context- and QoS-aware service discovery, which furthermore performs better than the classical, rigid, syntactic matching, and improves the scalability ofAriadne.
References
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Journal ArticleDOI

Mechanizing temporal knowledge

TL;DR: The construction of a time specialist is discussed, a program knowledgable about time in general which can be used by a higher level program to deal with the temporal aspects of its problem-solving.
Book ChapterDOI

The structure and organization of a semantic net for comprehension and inference

TL;DR: A network representation for propositional knowledge that is capable of encoding any proposition expressible in natural language, and the feasibility of building such hierarchies, inserting information into them automatically, and accessing the inserted information with a second experimental implementation is demonstrated.
Proceedings Article

Problems with parts

TL;DR: Two problems in representing and using relationships among parts of objects are analysed, and partial solutions are proposed for property inheritance and the problem of extracting information from over lapping partitioning hierarchies.
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