PENDS: an approach to modeling and retrieving “pending” information

  • Authors:
  • R. Subramanian

  • Affiliations:
  • Rutgers University, Newark, N.J.

  • Venue:
  • COCS '90 Proceedings of the ACM SIGOIS and IEEE CS TC-OA conference on Office information systems
  • Year:
  • 1990

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Abstract

Recently there has been tremendous interest in temporal data modeling. The scope of most proposed temporal models has been restricted to historical, or past data. We believe that a complete temporal database must deal with historical data as well as data relating to the future (pending data). In this paper we expand the previous work on temporal modeling by introducing the 'pending' dimension. We also specify a (pending) query and update language, which is an extension of the GORDAS ER query language. We use an inventory management environment and show that our model and query language can handle complex pending situations.