- AutorIn
- Dipl.-Math. Daniel Borchmann
- Titel
- Axiomatizing Confident GCIs of Finite Interpretations
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa-95245
- Schriftenreihe
- MATH-AL
- Bandnummer
- 2012, 08
- Erstveröffentlichung
- 2012
- Abstract (EN)
- Constructing description logic ontologies is a difficult task that is normally conducted by experts. Recent results show that parts of ontologies can be constructed from description logic interpretations. However, these results assume the interpretations to be free of errors, which may not be the case for real-world data. To provide some mechanism to handle these errors, the notion of confidence from data mining is introduced into description logics, yielding confident general concept inclusions (confident GCIs) of finite interpretations. The main focus of this work is to prove the existence of finite bases of confident GCIs and to describe some of theses bases explicitly.
- Freie Schlagwörter (DE)
- Formale Begriffsanalyse, Beschreibungslogiken
- Freie Schlagwörter (EN)
- Formal Concept Analysis, Description Logics
- Klassifikation (DDC)
- 510
- Klassifikation (RVK)
- SK 130
- Publizierende Institution
- Technische Universität Dresden, Dresden
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa-95245
- Veröffentlichungsdatum Qucosa
- 10.09.2012
- Dokumenttyp
- Preprint
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis