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Overview of Xml based Knowledge Representation using Scripts

TLDR
A symbol vocabulary and a system of logic are combined to enable inferences about elements in the knowledge representation to create new knowledge representation sentences by using various techniques.
Abstract
A knowledge representation (KR) is an idea to enable an individual to determine consequences by thinking rather than acting, i.e., by reasoning about the world rather than taking action in it. The knowledge acquired from experts or induced from a set of data must be represented in a format that is both understandable by humans and executable on computers. Knowledge representation research involves analysis of how to reason accurately and effectively and how best to use a set of symbols to represent a set of fact within a knowledge domain. A symbol vocabulary and a system of logic are combined to enable inferences about elements in the knowledge representation to create new knowledge representation sentences by using various techniques.

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Journal Article

Developing Web-based Semantic and Fuzzy Expert Systems using Proposed Tool

TL;DR: A tool is proposed for development of webbased expert systems and utilizes fuzzy logic and semantic web technology which permits the knowledge engineer and domain expert to define the knowledge without having to know anything about programming languages and AI.
Proceedings ArticleDOI

Knowledge Representation Structure for Cloud Platforms: SUMMUS Semantic Encoding Forest

TL;DR: Experiments show that knowledge inference time of SUMMUS Semantic Encoding Forest do not obviously increased with the consumption of entities' or events' number of conflicts linearly increase, and time performance is better than other existing knowledge representation structures.
References
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Journal ArticleDOI

What Is a Knowledge Representation

TL;DR: It is argued that keeping in mind all five of these roles that a representation plays provides a usefully broad perspective that sheds light on some longstanding disputes and can invigorate both research and practice in the field.
Book

Knowledge Representation

Book

Knowledge Representation

John F. Sowa
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