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The serializable and incremental semantic reasoner fuzzyDL

Conference Paper
Publication Date:
2020
abstract:
Serializable and incremental semantic reasoners make it easier to reason on a mobile device with limited resources, as they allow the reuse of previous inferences computed by another device without starting from scratch. This paper describes an extension of the fuzzy ontology reasoner fuzzyDL to make it the first serializable and incremental semantic reasoner. We empirically show that the size of the serialized files is smaller than in another serializable semantic reasoner (JFact), and that there is a significant decrease in the reasoning time.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Fuzzy Logic; Description Logics; Reasoner
List of contributors:
Straccia, Umberto
Authors of the University:
STRACCIA UMBERTO
Handle:
https://iris.cnr.it/handle/20.500.14243/408473
  • Overview

Overview

URL

https://ieeexplore.ieee.org/document/9177835
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