header

Real-Time Data Analytics and Event Detection for IoT-Enabled Communication Systems

28 Pages Posted: 9 Jul 2018 First Look: Accepted

See all articles by Muhammad Intizar Ali

Muhammad Intizar Ali

National University of Ireland, Galway (NUIG) - Insight Centre for Data Analytics

Naomi Ono

National University of Ireland, Galway (NUIG) - Insight Centre for Data Analytics

Mahedi Kaysar

National University of Ireland, Galway (NUIG) - Insight Centre for Data Analytics

Zia Shamszaman

National University of Ireland, Galway (NUIG) - Insight Centre for Data Analytics

Thu-Le Pham

National University of Ireland, Galway (NUIG) - Insight Centre for Data Analytics

Feng Gao

National University of Ireland, Galway (NUIG) - Insight Centre for Data Analytics

Keith Griffin

Cisco Systems Galway

Alessandra Mileo

National University of Ireland, Galway (NUIG) - Insight Centre for Data Analytics

Abstract

Enterprise Communication Systems are designed in such a way to maximise the efficiency of communication and collaboration within the enterprise. With users becoming mobile, the Internet of Things (IoT) can play a crucial role in this process, but is far from being seamlessly integrated into modern online communications. In this paper, we present a semantic infrastructure for gathering, integrating and reasoning upon heterogeneous, distributed and continuously changing data streams by means of semantic technologies and rule-based inference. Our solution exploits semantics to go beyond today's ad-hoc integration and processing of heterogeneous data sources for static and streaming data. It provides flexible and efficient processing techniques that can transform low-level data into high-level abstractions and actionable knowledge, bridging the gap between IoT and online Enterprise Communication Systems. We document the technologies used for acquisition and semantic enrichment of sensor data, continuous semantic query processing for integration and filtering, as well as stream reasoning for decision support. Our main contributions are the following, i) we dene and deploy a semantic processing pipeline for IoT-enabled Communication Systems, which builds upon existing systems for semantic data acquisition, continuous query processing and stream reasoning, detailing the implementation of each component of our framework; ii) we present a rich semantic information model for representing and linking IoT data, social data and personal data in the Enterprise Communication scenario, by reusing and extending existing standard semantic models; iii) we define and develop an expressive stream reasoning component as part of our framework, based on continuous query processing and non-monotonic reasoning for semantic streams, iv) we conduct experiments to comparatively evaluate the performance of our data acquisition and semantic annotation layer based on OpenIoT, and the performance of our expressive reasoning layer in the scenario of Enterprise Communication.

Keywords: RDF Stream Processing, Stream Federation, Communication Systems, OpenIoT, Linked Data, Stream Reasoning, IoT

Suggested Citation

Ali, Muhammad Intizar and Ono, Naomi and Kaysar, Mahedi and Shamszaman, Zia and Pham, Thu-Le and Gao, Feng and Griffin, Keith and Mileo, Alessandra, Real-Time Data Analytics and Event Detection for IoT-Enabled Communication Systems (2017). Journal of Web Semantics First Look. Available at SSRN: https://ssrn.com/abstract=3199128 or http://dx.doi.org/10.2139/ssrn.3199128

Muhammad Intizar Ali (Contact Author)

National University of Ireland, Galway (NUIG) - Insight Centre for Data Analytics ( email )

The DERI Building IDA Business Park
Galway
Ireland

Naomi Ono

National University of Ireland, Galway (NUIG) - Insight Centre for Data Analytics ( email )

The DERI Building IDA Business Park
Galway
Ireland

Mahedi Kaysar

National University of Ireland, Galway (NUIG) - Insight Centre for Data Analytics ( email )

The DERI Building IDA Business Park
Galway
Ireland

Zia Shamszaman

National University of Ireland, Galway (NUIG) - Insight Centre for Data Analytics ( email )

The DERI Building IDA Business Park
Galway
Ireland

Thu-Le Pham

National University of Ireland, Galway (NUIG) - Insight Centre for Data Analytics ( email )

The DERI Building IDA Business Park
Galway
Ireland

Feng Gao

National University of Ireland, Galway (NUIG) - Insight Centre for Data Analytics ( email )

The DERI Building IDA Business Park
Galway
Ireland

Keith Griffin

Cisco Systems Galway ( email )

Galway
Ireland

Alessandra Mileo

National University of Ireland, Galway (NUIG) - Insight Centre for Data Analytics ( email )

The DERI Building IDA Business Park
Galway
Ireland

Register to save articles to
your library

Register

Paper statistics

Abstract Views
186
Downloads
24