A framework and computer system for knowledge-level acquisition, representation, and reasoning with process knowledge

Gómez-Pérez, José Manuel and Erdmann, M. and Greaves, M. and Corcho, Oscar and Benjamins, R. (2010). A framework and computer system for knowledge-level acquisition, representation, and reasoning with process knowledge. "International Journal of Human-Computer Studies", v. 68 (n. 10); pp. 641-668. ISSN 1071-5819. https://doi.org/10.1016/j.ijhcs.2010.05.004.

Description

Title: A framework and computer system for knowledge-level acquisition, representation, and reasoning with process knowledge
Author/s:
  • Gómez-Pérez, José Manuel
  • Erdmann, M.
  • Greaves, M.
  • Corcho, Oscar
  • Benjamins, R.
Item Type: Article
Título de Revista/Publicación: International Journal of Human-Computer Studies
Date: October 2010
ISSN: 1071-5819
Volume: 68
Subjects:
Freetext Keywords: oeg
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
UPM's Research Group: Ontology Engineering Group – OEG
Creative Commons Licenses: None

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Abstract

The development of knowledge-based systems is usually approached through the combined skills of software and knowledge engineers (SEs and KEs, respectively) and of subject matter experts (SMEs). One of the most critical steps in this task aims at transferring knowledge from SMEs’ expertise to formal, machine-readable representations, which allow systems to reason with such knowledge. However, this process is costly and error prone. Alleviating such knowledge acquisition bottleneck requires enabling SMEs with the means to produce the target knowledge representations, minimizing the intervention of KEs. This is especially difficult in the case of complex knowledge types like processes. The analysis of scientific domains like Biology, Chemistry, and Physics uncovers: (i) that process knowledge is the single most frequent type of knowledge occurring in such domains and (ii) specific solutions need to be devised in order to allow SMEs to represent it in a computational form. We present a framework and computer system for the acquisition and representation of process knowledge in scientific domains by SMEs. We propose methods and techniques to enable SMEs to acquire process knowledge from the domains, to formally represent it, and to reason about it. We have developed an abstract process metamodel and a library of problem solving methods (PSMs), which support these tasks, respectively providing the terminology for SME-tailored process diagrams and an abstract formalization of the strategies needed for reasoning about processes. We have implemented this approach as part of the DarkMatter system and formally evaluated it in the context of the intermediate evaluation of Project Halo, an initiative aiming at the creation of question answering systems by SMEs.

More information

Item ID: 5633
DC Identifier: http://oa.upm.es/5633/
OAI Identifier: oai:oa.upm.es:5633
DOI: 10.1016/j.ijhcs.2010.05.004
Deposited by: Dr Oscar Corcho
Deposited on: 20 Jan 2011 12:09
Last Modified: 20 Apr 2016 14:23
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