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A Unified Knowledge Representation and Context-aware Recommender System in Internet of Things

Authors :
Li, Yinhao
Alqahtani, Awa
Solaiman, Ellis
Perera, Charith
Jayaraman, Prem Prakash
Benatallah, Boualem
Ranjan, Rajiv
Publication Year :
2018

Abstract

Within the rapidly developing Internet of Things (IoT), numerous and diverse physical devices, Edge devices, Cloud infrastructure, and their quality of service requirements (QoS), need to be represented within a unified specification in order to enable rapid IoT application development, monitoring, and dynamic reconfiguration. But heterogeneities among different configuration knowledge representation models pose limitations for acquisition, discovery and curation of configuration knowledge for coordinated IoT applications. This paper proposes a unified data model to represent IoT resource configuration knowledge artifacts. It also proposes IoT-CANE (Context-Aware recommendatioN systEm) to facilitate incremental knowledge acquisition and declarative context driven knowledge recommendation.<br />Comment: This paper is an incomplete draft. Therefore, I would like to withdraw it

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1805.04007
Document Type :
Working Paper