A Novel Approach for Integrating Semantic Web Techniques into Smart Education Environment

Abstract

Pervasive computing and Internet of Things (IoT) have recently received considerable interest from both industry and academia to give technology, infrastructure and applications for the future internet. Availability of numerous IoT devices in smart environment shows vast diversity of heterogeneous data representation and preservation. This heterogeneity of physical devices makes interoperability a problem which needs to be solved with a persistent scalable platform. Semantic web technologies have shown promising effects for describing data objects, wrapping and aggregating shared data as information and inferring new knowledge within specified domain. This paper highlights the use of semantic web techniques for an IoT based smart environment. The paper proposes a framework that provides a way to utilize heterogeneous data captured from smart IoT devices and sensors based on their semantics. The framework supports smart environment for decision making and occurrence of rule based events using new inferred knowledge. The paper addresses the use of existing ontologies and cloud solutions for smart sensors data, adding it with ontologies for smart devices and profile of users of smart environment. A preliminary usecase scenario of smart education environment is provided for underlining the feasibility of proposed framework.