東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Tools for industrial knowledge model...

The University of Regina (Canada).

FindBook

Google Book

Amazon

博客來

Tools for industrial knowledge modeling and management.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Tools for industrial knowledge modeling and management./
作者:	Harrison, Robert.
面頁冊數:	160 p.
附註:	Source: Masters Abstracts International, Volume: 47-02, page: 1048.
Contained By:	Masters Abstracts International47-02.
標題:	Artificial Intelligence. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR42396
ISBN:	9780494423967

Tools for industrial knowledge modeling and management.
Harrison, Robert.

Tools for industrial knowledge modeling and management. - 160 p.

Source: Masters Abstracts International, Volume: 47-02, page: 1048.

Thesis (M.A.Sc.)--The University of Regina (Canada), 2008.

This thesis presents the development and application of a suite of software tools for constructing knowledge to be used in knowledge based systems or the Semantic Web. The Inferential Modeling Technique, which is a technique for modeling the static and dynamic knowledge elements of a problem domain, provided the basis for the tools. A survey of existing knowledge modeling tools revealed weaknesses in the following four areas: (1) support for an ontological engineering methodology or technique, (2) support for dynamic knowledge modeling, (3) support for dynamic knowledge testing, and (4) support for ontology management. Two new tools were developed to address these four areas of weakness. Both tools were based on the Inferential Modeling Technique. The Class Editor was created to address the area of ontology management. The Class Editor enables users to model static knowledge using a UML class diagram like visualization and provides ontology management support through the back-end ontology management system Distributed Framework for Knowledge Evolution (DFKE). To address the areas of ontological engineering methodology, dynamic ontology modeling, and ontology testing, a Protege plug-in called Dyna was created. Dyna helps users define task behaviour, a component of dynamic knowledge, in a formalized language, and create test cases, which enable verification of the knowledge model. Dyna also supports knowledge sharing and reuse because it can convert the dynamic knowledge models into the XML and OWL file formats, enabling the models to be shared and re-used. Both the Class Editor and Dyna are applied for constructing an ontological model in the domain of selecting a remediation technology for petroleum contaminated sites.

ISBN: 9780494423967Subjects--Topical Terms:

769149
Artificial Intelligence.

Tools for industrial knowledge modeling and management.
LDR:02535nmm 2200265 a 45 001 891505
005 20101111
008 101111s2008 ||||||||||||||||| ||eng d
020 $a 9780494423967
035 $a (UMI)AAIMR42396
035 $a AAIMR42396
040 $a UMI $c UMI
100 1 $a Harrison, Robert. $3 1065504
245 1 0 $a Tools for industrial knowledge modeling and management.
300 $a 160 p.
500 $a Source: Masters Abstracts International, Volume: 47-02, page: 1048.
502 $a Thesis (M.A.Sc.)--The University of Regina (Canada), 2008.
520 $a This thesis presents the development and application of a suite of software tools for constructing knowledge to be used in knowledge based systems or the Semantic Web. The Inferential Modeling Technique, which is a technique for modeling the static and dynamic knowledge elements of a problem domain, provided the basis for the tools. A survey of existing knowledge modeling tools revealed weaknesses in the following four areas: (1) support for an ontological engineering methodology or technique, (2) support for dynamic knowledge modeling, (3) support for dynamic knowledge testing, and (4) support for ontology management. Two new tools were developed to address these four areas of weakness. Both tools were based on the Inferential Modeling Technique. The Class Editor was created to address the area of ontology management. The Class Editor enables users to model static knowledge using a UML class diagram like visualization and provides ontology management support through the back-end ontology management system Distributed Framework for Knowledge Evolution (DFKE). To address the areas of ontological engineering methodology, dynamic ontology modeling, and ontology testing, a Protege plug-in called Dyna was created. Dyna helps users define task behaviour, a component of dynamic knowledge, in a formalized language, and create test cases, which enable verification of the knowledge model. Dyna also supports knowledge sharing and reuse because it can convert the dynamic knowledge models into the XML and OWL file formats, enabling the models to be shared and re-used. Both the Class Editor and Dyna are applied for constructing an ontological model in the domain of selecting a remediation technology for petroleum contaminated sites.
590 $a School code: 0148.
650 4 $a Artificial Intelligence. $3 769149
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, Environmental. $3 783782
690 $a 0775
690 $a 0800
690 $a 0984
710 2 $a The University of Regina (Canada). $3 1017617
773 0 $t Masters Abstracts International $g 47-02.
790 $a 0148
791 $a M.A.Sc.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR42396