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Knowledge representation through object in the development of expert system chemical synthesis and reaction

  • Acquiring Knowledge
  • Conference paper
  • First Online:
IPMU '92—Advanced Methods in Artificial Intelligence (IPMU 1992)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 682))

Abstract

Aknowledge acquisition system is proposed to develop of inorganic chemical expert systems. The acquisition system is compose by a series of subsystems devoted specific tasks. A subsystem named Formulator carried out the acquisition of semantic knowledge through nomenclature of inorganic substance and to build a abstract data structure, named DIMS (Dynamic Internal representation of Molecular Structure), which represent all kind of knowledge corresponding inorganic substance. Others subsystem (Painter, Calculator, Nomenclator, Reactor, etc.) operates with this structure to obtain a new knowledge (physical-chemical properties, topological properties, reactions characteristic, etc.) to permits the develop of expert system in chemical inorganic area.

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Authors and Affiliations

  1. E.U.P., Avda. Menéndez Pidal s/n. Córdoba University, 14071, Córdoba, Spain

    I. Luque Ruiz & M. A. Gómez -Nieto

  2. Science Faculty, Avda. S. Alberto Magno s/n. Córdoba University, 14071, Córdoba, Spain

    J. L. Cruz Soto

Authors
  1. I. Luque Ruiz
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  2. J. L. Cruz Soto
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  3. M. A. Gómez -Nieto
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Editor information

Bernadette Bouchon-Meunier Llorenç Valverde Ronald R. Yager

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© 1993 Springer-Verlag

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Luque Ruiz, I., Cruz Soto, J.L., Gómez -Nieto, M.A. (1993). Knowledge representation through object in the development of expert system chemical synthesis and reaction. In: Bouchon-Meunier, B., Valverde, L., Yager, R.R. (eds) IPMU '92—Advanced Methods in Artificial Intelligence. IPMU 1992. Lecture Notes in Computer Science, vol 682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56735-6_60

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  • DOI: https://doi.org/10.1007/3-540-56735-6_60

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56735-6

  • Online ISBN: 978-3-540-47643-6

  • eBook Packages: Springer Book Archive

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