کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4946274 | 1439280 | 2017 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Probabilistic ontology based activity recognition in smart homes using Markov Logic Network
ترجمه فارسی عنوان
شناسایی فعالیت مبتنی بر هستی احتمالی در خانه های هوشمند با استفاده از شبکه مارکوف منطق
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کلمات کلیدی
خانه های هوشمند، به رسمیت شناختن فعالیت هستی شناسی، رویکرد احتمالاتی، شبکه منطق مارکوف،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
Designing an activity recognition system that models various activities of an occupant is the fundamental task in creating a smart home. Activity Recognition (AR) modeling, has witnessed a comprehensive range of research, that focuses independently on probabilistic approaches and on ontology based models as well. The research presented in this paper introduces an innovative approach in AR system design that integrates probabilistic inference with the represented domain ontology. Data obtained from sensors are uncertain in nature and mapping uncertainty over ontology will not yield good accuracy in the context of AR. The proposed system augments ontology based activity recognition with probabilistic reasoning through Markov Logic Network (MLN) which is a statistical relational learning approach. The proposed system utilizes the model theoretic semantic property of description logic, to convert the represented ontology activity model to its corresponding first order rules. MLN is constructed by learning weighted first order rules that enable probabilistic reasoning within a knowledge representation framework. The experiments based on datasets obtained from smart home prototypes illustrate the effectiveness of integrating probabilistic reasoning over domain ontology and the result analysis shows enhanced recognition accuracy in comparison with existing approaches.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 121, 1 April 2017, Pages 173-184
Journal: Knowledge-Based Systems - Volume 121, 1 April 2017, Pages 173-184
نویسندگان
K.S. Gayathri, K.S. Easwarakumar, Susan Elias,