Document - The serializable and incremental semantic reasoner fuzzyDL

2020

Conference article Open Access

The serializable and incremental semantic reasoner fuzzyDL

Huitzil I., Straccia U., Bobed C., Mena E., Bobillo F.

Reasoner Description Logics Fuzzy Logic

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.

Source: FUZZ-IEEE 2020 - IEEE International Conference on Fuzzy Systems, Glasgow, UK, 19-24 July 2020

Publisher: IEEE, New York, USA

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@inproceedings{oai:it.cnr:prodotti:427064,
	title = {The serializable and incremental semantic reasoner fuzzyDL},
	author = {Huitzil I. and Straccia U. and Bobed C. and Mena E. and Bobillo F.},
	publisher = {IEEE, New York, USA},
	doi = {10.1109/fuzz48607.2020.9177835},
	booktitle = {FUZZ-IEEE 2020 - IEEE International Conference on Fuzzy Systems, Glasgow, UK, 19-24 July 2020},
	year = {2020}
}