Problem-solving methods for understanding process executions

被引:0
作者
Gomez-Perez, Jose Manuel [1 ]
Corcho, Oscar [2 ,3 ]
机构
[1] iSOCO, Madrid, Spain
[2] Univ Politecn Madrid, Ontol Engn Grp, E-28040 Madrid, Spain
[3] Univ Manchester, Manchester M13 9PL, Lancs, England
关键词
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Problem-solving methods are high-level, domain-independent, reusable knowledge templates that support the development of knowledge-intensive applications. The authors show how to use them to bolster subject-matter experts' understanding of process execution by implementing such methods into the Knowledge-Oriented Provenance Environment.
引用
收藏
页码:47 / 52
页数:6
相关论文
共 13 条
[1]  
BENJAMINS R, 1995, INT J EXPERT SYST, V8, P93
[2]  
Bruno N., 2002, P 2002 ACM SIGMOD IN, P310
[3]  
Chen L, 2005, PROC INT CONF DATA, P384
[4]  
Fensel D, 1999, IJCAI-99: PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS 1 & 2, P16
[5]  
GOBLE C, 2005, P 3 INT C SERV OR CO, P341
[6]  
Gómez-Pérez JM, 2007, K-CAP'07: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON KNOWLEDGE CAPTURE, P15
[7]  
MCDERMOTT J, 1993, AUTOMATING KNOWLEDGE, P225
[8]  
MUNROE S, 2006, DATA MODEL PROCESS D
[9]   THE KNOWLEDGE LEVEL [J].
NEWELL, A .
ARTIFICIAL INTELLIGENCE, 1982, 18 (01) :87-127
[10]  
Schreiber August Th, 2000, Knowledge engineering and management: the CommonKADS methodology