- From: William Van Woensel <William.Van.Woensel@Dal.Ca>
- Date: Tue, 23 Jun 2020 12:25:21 +0000
- To: angin scribe <anginscribe3@gmail.com>, "semantic-web@w3.org" <semantic-web@w3.org>
- Message-ID: <YTXPR0101MB10225FFE731A730042FFE1A9D4940@YTXPR0101MB1022.CANPRD01.PROD.OUTLOOK.>
Hi Angin, Chen et al. [1] utilized an ontology for activity recognition – i.e., representing context and activities using an ontology, and then applying classification for activity recognition. Several works after that, some quite recently, have also taken a knowledge-based approach to AR [2-6] (some self-promotion here as well). Regards, William [1] L. Chen, C. D. Nugent, and H. Wang, “A Knowledge-Driven Approach to Activity Recognition in Smart Homes,” IEEE Trans. Knowl. Data Eng.,vol.24,no.6,pp.961–974,2012. [2] R. Helaoui, D. Riboni, and H. Stuckenschmidt, “A Probabilistic Ontological Framework for the Recognition of Multilevel Human Activities,” in Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013, pp. 345–354 [3] G. Okeyo, L. Chen, and H. Wang, “Combining ontological and temporal formalisms for composite activity modelling and recognition in smart homes,” Futur. Gener. Comput. Syst., vol. 39, pp. 29–43, Oct. 2014. [4] Pro Actively Guiding Patients through ADL via Knowledge Based and Context Driven Activity Recognition. http://ebooks.iospress.nl/publication/52111 [5] Integrated data and knowledge driven methodology for human activity recognition. https://doi.org/10.1016/j.ins.2020.03.081 [6] Modeling, learning, and simulating human activities of daily living with behavior trees. https://link.springer.com/article/10.1007/s10115-020-01476-x From: angin scribe <anginscribe3@gmail.com> Sent: June-21-20 10:03 AM To: semantic-web@w3.org Subject: Ontology reasoning - Situation Recognition - Understanding Sensors Data CAUTION: The Sender of this email is not from within Dalhousie. Hello Everyone, Is there any ontology for reasoning about the situation? In other words, an ontology for understanding/recognizing the current situation based on the information provided by some sensors, or an ontology that can be used to infer implicit information regarding the current situation based on sensor data. Could anyone give a pointer to the work in this area? Many thanks! A
Received on Tuesday, 23 June 2020 12:25:36 UTC