Full text
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (345kB) | Preview |
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.
Title: | Human-Readable and Machine-Readable Knowledge Bases Using Specialized Word Processors |
---|---|
Author/s: |
|
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 |
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (345kB) | Preview |
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.
Item ID: | 4277 |
---|---|
DC Identifier: | https://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 |