کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
402327 676906 2014 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A fuzzy ontology for semantic modelling and recognition of human behaviour
ترجمه فارسی عنوان
هستی شناسی فازی برای مدل سازی معنایی و شناخت رفتار انسان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی


• 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.

We propose a fuzzy ontology for human activity representation, which allows us to model and reason about vague, incomplete, and uncertain knowledge. Some relevant subdomains found to be missing in previous proposed ontologies for this domain were modelled as well. The resulting fuzzy OWL 2 ontology is able to model uncertain knowledge and represent temporal relationships between activities using an underlying fuzzy state machine representation. We provide a proof of concept of the approach in work scenarios such as the office domain, and also make experiments to emphasize the benefits of our approach with respect to crisp ontologies. As a result, we demonstrate that the inclusion of fuzzy concepts and relations in the ontology provide benefits during the recognition process with respect to crisp approaches.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 66, August 2014, Pages 46–60
نویسندگان
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