The nexus of content and process in context ontology modelling for human sensor web

H.B. Tsega, R.L.G. Lemmens, Juma Hemed Lungo, M.J. Kraak, A. Wesselink

Research output: Contribution to conferenceAbstractAcademic

Abstract

The widespread use of personal ICT devices paved the way
for the devolution of geo-information to expert and non-expert users.
Human sensor Web (HSW) is a notion that considers humans carry-
ing aordable electronic and communication devices as moving sensory
servers (hence `human sensors') to generate location-oriented data. A lot
of such information ends up as useful volunteered information on the web
on a real-time basis.
Our initial assumption is that the eciency of the use of citizen generated
data can be improved if its context is carefully studied, modelled and
incorporated as part of the information processing. The intention is to
boost the smartness of the HSW system to make act upon its immediate
socio-physical and system-related context. Given their wider and cross-
platform applicability, ontology-based modelling techniques are our most
preferred approach to represent and analyze contextual knowledge of
HSW. In this paper, we attempted to deliberate and test our newly
adopted approach by marrying two aspects of context modelling; (i)
populating the content of the model, and (ii) guiding the modelling
process.
In most cases, context ontologies are developed based on the perspec-
tives of the developers; also known as knowledge engineers, in a top-down
manner. Their main focus is the content of the ontology model, i.e., what
constitues the context. A pariticipative method that admits the perspec-
tives and feedbacks of knowledgeable domain experts is missing in the
context modelling research arena. However, such methodology can be
systematically borrowed from the rich experiences of the ontology en-
gineering and software development research communities and properly
married with the context modelling practices. Our work presents a com-
bination of such approaches that complement eachother. Our approach
has been tested on a mobile-based reporting system for functionality of
rural water points in Tanzania in the context of SEMA (Sensor, Empow-
erment and Accountability) project.
Original languageEnglish
Number of pages1
Publication statusPublished - 23 Sep 2014
Event1st International Workshop on Context-Awareness in Geographic Information Services, CAGIS 2014: in conjunction with GIScience 2014 - Vienna, Austria
Duration: 23 Sep 201423 Sep 2014
Conference number: 1

Workshop

Workshop1st International Workshop on Context-Awareness in Geographic Information Services, CAGIS 2014
Abbreviated titleCAGIS 2014
CountryAustria
CityVienna
Period23/09/1423/09/14
OtherIn conjunction with the 8th International Conference on Geographic Information Science GIScience2014

Fingerprint Dive into the research topics of 'The nexus of content and process in context ontology modelling for human sensor web'. Together they form a unique fingerprint.

Cite this