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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

Search results

Showing 1 to 3 of 3 (0.129 seconds)

Spelling suggestions: "subject:"attributexploration"" "subject:"detailedexploration""

1

A General Form of Attribute Exploration

Borchmann, Daniel 20 June 2022 (has links)
We present a general form of attribute exploration, a knowledge completion algorithm from formal concept analysis. The aim of this generalization is to extend the applicability of attribute exploration by a general description. Additionally, this may also allow for viewing different existing variants of attribute exploration as instances of a general form, as for example exploration on partial contexts.
info:eu-repo/classification/ddc/004
ddc:004
2

Formal Concept Analysis Methods for Description Logics / Formale Begriffsanalyse Methoden für Beschreibungslogiken

Sertkaya, Baris 09 July 2008 (has links) (PDF)
This work presents mainly two contributions to Description Logics (DLs) research by means of Formal Concept Analysis (FCA) methods: supporting bottom-up construction of DL knowledge bases, and completing DL knowledge bases. Its contribution to FCA research is on the computational complexity of computing generators of closed sets.
Description Logics
Formal Concept Analysis
knowledge base
bottom-up construction
ontology
completion
attribute exploration
closed set
minimal generators
Beschreibungslogik
Formale Begriffsanalyse
Wissensbasis
Ontologie
Attributexploration
abgeschlossene Menge
minimale Erzeuger
ddc:004
rvk:ST 125
3

Formal Concept Analysis Methods for Description Logics

Sertkaya, Baris 15 November 2007 (has links)
This work presents mainly two contributions to Description Logics (DLs) research by means of Formal Concept Analysis (FCA) methods: supporting bottom-up construction of DL knowledge bases, and completing DL knowledge bases. Its contribution to FCA research is on the computational complexity of computing generators of closed sets.
info:eu-repo/classification/ddc/004
ddc:004

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