A theoretical multi-tier trust framework for the geospatial domain

Umuhoza, D; Agbinya, JI; Vahed, A

A theoretical multi-tier trust framework for the geospatial domain

Umuhoza, D Agbinya, JI Vahed, A

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Publication Type:: Conference Proceeding
Citation:: CISIS 2010 - The 4th International Conference on Complex, Intelligent and Software Intensive Systems, 2010, pp. 594 - 599
Issue Date:: 2010-05-31

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Field	Value	Language
dc.contributor.author	Umuhoza, D	en_US
dc.contributor.author	Agbinya, JI	en_US
dc.contributor.author	Vahed, A	en_US
dc.date.issued	2010-05-31	en_US
dc.identifier.citation	CISIS 2010 - The 4th International Conference on Complex, Intelligent and Software Intensive Systems, 2010, pp. 594 - 599	en_US
dc.identifier.isbn	9780769539676	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16173
dc.description.abstract	Sensory data also known as Geospatial data is collected in-situ or remotely by different types of sensors from different geographic locations, by different agencies and over a period of time. A vast amount of data is processed via web services. The quality of the techniques, models and algorithms applied along the processing chain in transforming sensory data critically influences the quality of the eventually derived information. In this paper we evaluate trustworthiness of the processing chain or workflow from data acquisition to knowledge discovery. We present work in progress of a theoretical multi-tier trust framework for processing chain from data acquisition to knowledge discovery in geospatial domain. Holistic trust will be computed trough a trust function that integrate take the existing trust models. © 2010 IEEE.	en_US
dc.relation.ispartof	CISIS 2010 - The 4th International Conference on Complex, Intelligent and Software Intensive Systems	en_US
dc.relation.isbasedon	10.1109/CISIS.2010.169	en_US
dc.title	A theoretical multi-tier trust framework for the geospatial domain	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	en_US
dc.location.activity	Krakow, Poland	en_US
dc.location.activity	Tenerife, Spain
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Sensory data also known as Geospatial data is collected in-situ or remotely by different types of sensors from different geographic locations, by different agencies and over a period of time. A vast amount of data is processed via web services. The quality of the techniques, models and algorithms applied along the processing chain in transforming sensory data critically influences the quality of the eventually derived information. In this paper we evaluate trustworthiness of the processing chain or workflow from data acquisition to knowledge discovery. We present work in progress of a theoretical multi-tier trust framework for processing chain from data acquisition to knowledge discovery in geospatial domain. Holistic trust will be computed trough a trust function that integrate take the existing trust models. © 2010 IEEE.

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http://hdl.handle.net/10453/16173