Facing the growing amount of information in today's society, the task of specifying human knowledge in a way that can be unambiguously processed by computers becomes more and more important. Two acknowledged fields in this evolving scientific area of Knowledge Representation are Description Logics (DL) and Formal Concept Analysis (FCA). While DL concentrates on characterizing domains via logical statements and inferring knowledge from these characterizations, FCA builds conceptual hierarchies on the basis of present data. This work introduces Relational Exploration, a method for acquiring complete relational knowledge about a domain of interest by successively consulting a domain expert without ever asking redundant questions. This is achieved by combining DL and FCA: DL formalisms are used for defining FCA attributes while FCA exploration techniques are deployed to obtain or refine DL knowledge specifications.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa.de:swb:14-1172682174599-12286 |
| Date | 28 February 2007 |
| Creators | Rudolph, Sebastian |
| Contributors | Technische Universität Dresden, Mathematik, Prof. Dr. Bernhard Ganter, Prof. Dr. Bernhard Ganter, Prof. Dr. Gerd Stumme, Prof. Dr.-Ing. Franz Baader |
| Publisher | Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | doc-type:doctoralThesis |
| Format | application/pdf |
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