Acquisition and Understanding of Process Knowledge using Problem Solving Methods
( Studies on the Semantic Web )
Publication series ：Studies on the Semantic Web
Author： Gómez-Pérez J.M.;
Publisher： Ios Press
Publication year： 2010
E-ISBN: 9781614993414
P-ISBN(Hardback): 9781607506003
Subject： TP182 expert system, knowledge engineering
Keyword： null 自动化技术、计算机技术Automation Technology , Computer Technology
Language： ENG
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Description
The development of knowledge-based systems is usually approached through the combined skills of knowledge engineers (KEs) and subject matter experts (SMEs). One of the most critical steps in this activity aims at transferring knowledge from SMEs to formal, machine-readable representations, which allow systems to reason with such knowledge. However, this is a costly and error prone task. Alleviating the knowledge acquisition bottleneck requires enabling SMEs with the means to produce the desired knowledge representations without the help of KEs. This is especially difficult in the case of complex knowledge types, like processes. The analysis of different application domains uncovers that process knowledge is one of the most frequent knowledge types, whose complexity requires specific means to enable SMEs to represent processes in a computational form. Additionally, such complexity and the increasingly large amount of data that process executions generate in knowledge-intensive domains, like Biology or Astronomy, requires analytical means with high abstraction capabilities to support SMEs in the analysis of such processes. This book presents methods and tools that enable SMEs to acquire process knowledge from the domains, formally represent such knowledge, reason about it, and understand process executions by analyzing their provenance. We describe the utilization of Problem Solving Methods as the main knowledge artifacts for process acquisition and analysis in two innovative
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