A fuzzy ontology for semantic modelling and recognition of human behaviour

作者：

Highlights：

• Human activity modelling ontologies for imprecise knowledge reasoning are inexistent.

• We develop a fuzzy ontology to deal with uncertain or vague knowledge representation.

• We show examples of use of the ontology in different scenarios within office domain.

• We create a dataset with rules and queries and compare fuzzy and crisp reasoning.

• We demonstrate that fuzzy ontological reasoning improves accuracy and it is scalable.

摘要

•Human activity modelling ontologies for imprecise knowledge reasoning are inexistent.•We develop a fuzzy ontology to deal with uncertain or vague knowledge representation.•We show examples of use of the ontology in different scenarios within office domain.•We create a dataset with rules and queries and compare fuzzy and crisp reasoning.•We demonstrate that fuzzy ontological reasoning improves accuracy and it is scalable.

论文关键词：Human behaviour,Human activity recognition,Fuzzy ontology,Context-awareness,Ambient intelligence,Semantic Web

论文评审过程：Received 10 July 2013, Revised 7 April 2014, Accepted 10 April 2014, Available online 2 May 2014.

论文官网地址：https://doi.org/10.1016/j.knosys.2014.04.016