Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

TOSCANA-systems based on thesauri

Authors: Bernd Groh; Selma Strahringer; Rudolf Wille;

TOSCANA-systems based on thesauri

Abstract

TOSCANA is a computer program which allows an online interaction with data bases to analyse and explore data conceptually. Such interaction uses conceptual data systems which are based on formal contexts consisting of relationships between objects and attributes. Those formal contexts often have attributes taken from a thesaurus, which may be understood as ordered set and be completed to a join-semilattice (if necessary). The join of thesaurus terms indicates the degree of resemblance of the terms and should therefore be included in the formal contexts containing those terms. Consequently, the formal contexts of a conceptual data system based on a thesaurus should have join-closed attribute sets. A problem arises for the TOSCANA-system implementing such conceptual data system because the attributes in a nested line diagram produced by TOSCANA might not be join-closed, although its components have join-closed attribute sets. In this paper we offer a solution to this problem by developing a method for extending line diagrams to those whose attributes are join-closed. This method allows to implement TOSCANA-systems based on thesauri which respect the join-structure of the thesauri.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    9
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!