The uncertain web: Concepts, challenges, and current solutions

Benslimane, D; Sheng, QZ; Barhamgi, M; Prade, H

The uncertain web: Concepts, challenges, and current solutions

Benslimane, D Sheng, QZ Barhamgi, M Prade, H

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Publication Type:: Journal Article
Citation:: ACM Transactions on Internet Technology, 2015, 16 (1)
Issue Date:: 2015-12-01

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Field	Value	Language
dc.contributor.author	Benslimane, D	en_US
dc.contributor.author	Sheng, QZ	en_US
dc.contributor.author	Barhamgi, M	en_US
dc.contributor.author	Prade, H https://orcid.org/0000-0003-4586-8527	en_US
dc.date.issued	2015-12-01	en_US
dc.identifier.citation	ACM Transactions on Internet Technology, 2015, 16 (1)	en_US
dc.identifier.issn	1533-5399	en_US
dc.identifier.uri	http://hdl.handle.net/10453/102895
dc.description.abstract	Uncertainty, incompleteness, and imprecision are common characteristics of the data and knowledge that users deal with in a wide range of domains and applications. Exploiting these uncertain data sources and services to their full potential raises important research challenges that relate to the different phases of their lifecycle. Modeling and representing the semantics of Web data sources and services is the first step toward the automation of their different related activities such as data and service querying, selection, integration, ranking, and composition. As the uncertainly of data and services could impact these activities, it should be considered as an integral part of data and service descriptions. The existing Web modeling languages and standards should be extended and used to represent the uncertainty of data and services.	en_US
dc.relation.ispartof	ACM Transactions on Internet Technology	en_US
dc.relation.isbasedon	10.1145/2847252	en_US
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	The uncertain web: Concepts, challenges, and current solutions	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	16	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	0806 Information Systems	en_US
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 Software
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	16	en_US

Abstract:

Uncertainty, incompleteness, and imprecision are common characteristics of the data and knowledge that users deal with in a wide range of domains and applications. Exploiting these uncertain data sources and services to their full potential raises important research challenges that relate to the different phases of their lifecycle. Modeling and representing the semantics of Web data sources and services is the first step toward the automation of their different related activities such as data and service querying, selection, integration, ranking, and composition. As the uncertainly of data and services could impact these activities, it should be considered as an integral part of data and service descriptions. The existing Web modeling languages and standards should be extended and used to represent the uncertainty of data and services.

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http://hdl.handle.net/10453/102895