Title :
Problem-Solving Methods for Understanding Process Executions
Author :
Gomez-Perez, Jose Manuel ; Corcho, Oscar
Abstract :
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.
Keywords :
knowledge based systems; problem solving; knowledge-intensive applications; knowledge-oriented provenance environment; problem solving; process execution understanding; Astronomy; Biology computing; Computer science; Documentation; Information filtering; OWL; Ontologies; Physics computing; Problem-solving; Production; knowledge provenance; problem-solving methods; process analysis; subject matter experts;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2008.78
