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

Gómez-Pérez, José Manuel; Erdmann, M.; Greaves, M.; Corcho, Oscar y 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.

Descripción

Título: A framework and computer system for knowledge-level acquisition, representation, and reasoning with process knowledge
Autor/es:
  • Gómez-Pérez, José Manuel
  • Erdmann, M.
  • Greaves, M.
  • Corcho, Oscar
  • Benjamins, R.
Tipo de Documento: Artículo
Título de Revista/Publicación: International Journal of Human-Computer Studies
Fecha: Octubre 2010
Volumen: 68
Materias:
Palabras Clave Informales: oeg
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Grupo Investigación UPM: Ontology Engineering Group – OEG
Licencias Creative Commons: Ninguna

Texto completo

[img]
Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (1MB) | Vista Previa

Resumen

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.

Más información

ID de Registro: 5633
Identificador DC: http://oa.upm.es/5633/
Identificador OAI: oai:oa.upm.es:5633
Identificador DOI: 10.1016/j.ijhcs.2010.05.004
Depositado por: Dr Oscar Corcho
Depositado el: 20 Ene 2011 12:09
Ultima Modificación: 20 Abr 2016 14:23
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • e-ciencia
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM