In:
South African Computer Journal, South African Institute of Computer Scientists and Information Technologists, Vol. 32, No. 2 ( 2020-12-08)
Abstract:
Datalog is a powerful language that can be used to represent explicit knowledge and compute inferences in knowledge bases. Datalog cannot, however, represent or reason about contradictory rules. This is a limitation as contradictions are often present in domains that contain exceptions. In this paper, we extend Datalog to represent contradictory and defeasible information. We define an approach to efficiently reason about contradictory information in Datalog and show that it satisfies the KLM requirements for a rational consequence relation. We introduce DDLV, a defeasible Datalog reasoning system that implements this approach. Finally, we evaluate the performance of DDLV.
Type of Medium:
Online Resource
ISSN:
2313-7835
,
1015-7999
DOI:
10.18489/sacj.v32i2.850
Language:
Unknown
Publisher:
South African Institute of Computer Scientists and Information Technologists
Publication Date:
2020
detail.hit.zdb_id:
2121137-1
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