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Towards Building Smart Maps from Heterogeneous Data Sources

Authors:
Faizan Ur Rehman
Imad Afyouni
Ahmed Lbath
Saleh Basalamah

Keywords: Smart Maps; Events of Interest; Social Networks; Crowdsourcing

Abstract:
In today's busy world, users and authorities require better services to achieve their daily activities and tasks in a smart way by using available resources in an optimized manner. Research on smart cities is playing an essential role to make these activities realistic. The variety of available data sources, starting from crowdsourced data, open governmental data, and other online sources can provide users with smart tools to better manage their daily activities. However, collecting and integrating this multitude of overlapping data sources is a challenging task. Particularly, digital maps are being extensively used to browse and share information about points of interest, plan trips, and to find optimized paths. Within this context, there is a real opportunity to enrich traditional maps with different knowledge-based layers extracted from the variety of available data sources. This paper introduces the concept of 'smart maps' by collecting, managing, and integrating heterogeneous data sources in order to infer relevant knowledge-based layers. Unlike conventional maps, smart maps extract live events (e.g., concert, competition, incident), online offers, and statistical analysis (e.g., dangerous areas) by encapsulating incoming unstructured data into structured generic packets. These packets are processed to extract statistical knowledge on accident-prone and safe areas, and detect Events of Interest (EoI), based on a multi-dimensional clustering technique. This approach lays the ground for delivering different intelligent services and applications, such as: 1) city explorer that provides latest information collected from multiple sources about places and events; and 2) route and trip planning that leverage smart map framework to recommend safe routes.

Pages: 9 to 14

Copyright: Copyright (c) IARIA, 2017

Publication date: March 19, 2017

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-539-5

Location: Nice, France

Dates: from March 19, 2017 to March 23, 2017