<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>In spite of their industrial success, the development of intelligent systems is still a complex and risky task. When building intelligent systems, we see that domain knowledge is often present at different levels of formalization—ranging from text documents to explicit rules. In this paper, we describe the knowledge formalization continuum as a metaphor to help domain specialists during the knowledge acquisition phase. To make use of the knowledge formalization continuum, the agile use of knowledge representations within a knowledge engineering project is proposed, as well as transitions between the different representations, when required. We show that a semantic wiki is a flexible tool for engineering knowledge on the knowledge formalization continuum. Case studies are taken from one industrial and one academic project, and they illustrate the applicability and benefits of semantic wikis in combination with the knowledge formalization continuum.</p></abstract>

In spite of their industrial success, the development of intelligent systems is still a complex and risky task. When building intelligent systems, we see that domain knowledge is often present at different levels of formalization—ranging from text documents to explicit rules. In this paper, we describe the knowledge formalization continuum as a metaphor to help domain specialists during the knowledge acquisition phase. To make use of the knowledge formalization continuum, the agile use of knowledge representations within a knowledge engineering project is proposed, as well as transitions between the different representations, when required. We show that a semantic wiki is a flexible tool for engineering knowledge on the knowledge formalization continuum. Case studies are taken from one industrial and one academic project, and they illustrate the applicability and benefits of semantic wikis in combination with the knowledge formalization continuum.

Engineering intelligent systems on the knowledge formalization continuum

Institute of Computer Science, University of Würzburg, Am Hubland, 97074 Würzburg, Germany

International Journal of Applied Mathematics and Computer Science

{"article-title":"Engineering intelligent systems on the knowledge formalization continuum"}

In spite of their industrial success, the development of intelligent systems is still a complex and risky task. When building intelligent systems, we see that...

Engineering intelligent systems on the knowledge formalization continuum

Online veröffentlicht: 28. März 2011

Seitenbereich: 27 - 39

DOI: https://doi.org/10.2478/v10006-011-0002-5

Schlüsselwörter
knowledge engineering, knowledge acquisition, semantic wiki

This content is open access.

Engineering intelligent systems on the knowledge formalization continuum

Online veröffentlicht: 28. März 2011

Seitenbereich: 27 - 39

DOI: https://doi.org/10.2478/v10006-011-0002-5

Schlüsselwörterknowledge engineering, knowledge acquisition, semantic wiki

This content is open access.

Schlüsselwörter
knowledge engineering, knowledge acquisition, semantic wiki