Abstract
In this article we investigate abductive conjunctive query answering w.r.t. ontologies and show how use cases can benefit from this kind of query answering service. While practical reasoning systems such as Racer have supported abductive conjunctive query answering for 10 years now, and many projects have exploited this feature, few publications deal with A-box abduction from an implementation perspective. This article gives a generalized overview on features provided by practical systems and also explains optimization techniques needed to meet practical requirements.
| Original language | English |
|---|---|
| Journal | KI - Künstliche Intelligenz |
| Volume | 30 |
| Issue number | 2 |
| Pages (from-to) | 177-182 |
| Number of pages | 6 |
| ISSN | 1610-1987 |
| DOIs | |
| Publication status | Published - 13.10.2016 |
DFG Research Classification Scheme
- 409-06 Information Systems, Process and Knowledge Management
- 4.43-05 Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
