Human-Readable and Machine-Readable Knowledge Bases Using Specialized Word Processors

Molina, Martin and Blasco Moratilla, Gemma (2008). Human-Readable and Machine-Readable Knowledge Bases Using Specialized Word Processors. In: "20th International Conference on Tools with Artificial Intelligence (ICTAI 2008)", 03/11/2008-05/11/2008, Ohio, EEUU. ISBN 978-0-7695-3440-4.

Description

Title: Human-Readable and Machine-Readable Knowledge Bases Using Specialized Word Processors
Author/s:
  • Molina, Martin
  • Blasco Moratilla, Gemma
Item Type: Presentation at Congress or Conference (Article)
Event Title: 20th International Conference on Tools with Artificial Intelligence (ICTAI 2008)
Event Dates: 03/11/2008-05/11/2008
Event Location: Ohio, EEUU
Title of Book: Proceedings of 20th International Conference on Tools with Artificial Intelligence (ICTAI 2008)
Date: 3 November 2008
ISBN: 978-0-7695-3440-4
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The maintenance of knowledge bases is one of the crucial activities in the life cycle of knowledge systems. This paper describes an innovative approach to write complex and large knowledge bases using specialized word processors. According to this, a knowledge model is represented as a conventional document that is written following the standard operations of word processors. Following this approach, domain experts that are not familiar with computer languages could easier read and write complex knowledge models. In addition to that, the processor is able of interpreting the content of the document to automatically perform tasks of the knowledge model. The paper describes the basic characteristics of the document and its specialized word processor and presents our experience following this approach for a knowledge system in the domain of hydrology.

More information

Item ID: 4277
DC Identifier: http://oa.upm.es/4277/
OAI Identifier: oai:oa.upm.es:4277
Official URL: http://www.informatik.uni-trier.de
Deposited by: Memoria Investigacion
Deposited on: 24 Sep 2010 09:30
Last Modified: 20 Apr 2016 13:34
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