- AutorIn
- Francesco Kriegel
- Titel
- Terminological knowledge aquisition in probalistic description logic
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-795993
- Schriftenreihe
- LTCS-Report
- Bandnummer
- 18-03
- Erstveröffentlichung
- 2018
- DOI
- https://doi.org/10.25368/2022.239
- Abstract (EN)
- For a probabilistic extension of the description logic EL⊥, we consider the task of automatic acquisition of terminological knowledge from a given probabilistic interpretation. Basically, such a probabilistic interpretation is a family of directed graphs the vertices and edges of which are labeled, and where a discrete probabilitymeasure on this graph family is present. The goal is to derive so-called concept inclusions which are expressible in the considered probabilistic description logic and which hold true in the given probabilistic interpretation. A procedure for an appropriate axiomatization of such graph families is proposed and its soundness and completeness is justified.
- Freie Schlagwörter (DE)
- Data Mining, Wissenserwerb, Wahrscheinlichkeitstheoretische Beschreibungslogik, Wissensdatenbank, Wahrscheinlichkeitsauffassung
- Freie Schlagwörter (EN)
- data mining, knowledge acquisition, probabilistic description logic, knowledge base, probabilistic interpretation
- Klassifikation (DDC)
- 004
- Klassifikation (RVK)
- ST 136
- Publizierende Institution
- Technische Universität Dresden, Dresden
- Version / Begutachtungsstatus
- angenommene Version / Postprint / Autorenversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-795993
- Veröffentlichungsdatum Qucosa
- 20.06.2022
- Dokumenttyp
- Bericht
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0