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A knowledge-based approach to statistical query processing

  • Carla Basili
  • Roberto Basili
  • Leonardo Meo-Evoli
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 580)

Abstract

Representation of statistical data is achieved by means of complex data structures. Such a complexity transfers directly to statistical data manipulations. Furthermore, the most meaningful statistical indicator resides in complex data structures. Our work is focused on simplifying manipulations of statistical data structures by means of StEM (Statistical database Expert Manager), a knowledge-based kernel. StEM acts as a deductive query processor between a high level query language and the set of low level DBMS primitives required for query resolution. StEM contains a Prolog knowledge base that provides transparency of complex data manipulations, allowing a real conceptual interaction with a statistical database.

Key-words

Statistical Data Modelling Query Processing Statistical Data Manipulation Knowledge Bases 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • Carla Basili
    • 1
  • Roberto Basili
    • 2
  • Leonardo Meo-Evoli
    • 1
  1. 1.Istituto di Studi sulla Ricerca e Documentazione Scientifica (ISRDS)Consiglio Nazionale delle Ricerche (CNR)RomaItaly
  2. 2.Dipartimento di Ingegneria ElettronicaUniversità di Roma II Tor Vergata'RomaItaly

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