Article

Hide the stack: toward usable linked data

Authors:

Aba-Sah Dadzie,

Daniela PetrelliAuthors Info & Claims

ESWC'11: Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I

Pages 93 - 107

Published: 29 May 2011 Publication History

Abstract

The explosion in growth of the Web of Linked Data has provided, for the first time, a plethora of information in disparate locations, yet bound together by machine-readable, semantically typed relations. Utilisation of the Web of Data has been, until now, restricted to the members of the community, eating their own dogfood, so to speak. To the regular web user browsing Facebook and watching YouTube, this utility is yet to be realised. The primary factor inhibiting uptake is the usability of the Web of Data, where users are required to have prior knowledge of elements from the Semantic Web technology stack. Our solution to this problem is to hide the stack, allowing end users to browse the Web of Data, explore the information it contains, discover knowledge, and use Linked Data. We propose a template-based visualisation approach where information attributed to a given resource is rendered according to the rdf:type of the instance.

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Cited By

Marie NGandon F(2014)Survey of linked data based exploration systemsProceedings of the 3rd International Conference on Intelligent Exploration of Semantic Data - Volume 127910.5555/2877799.2877806(66-77)Online publication date: 20-Oct-2014
https://dl.acm.org/doi/10.5555/2877799.2877806
Costabello L(2011)DC proposalProceedings of the 10th international conference on The semantic web - Volume Part II10.5555/2063076.2063096(269-276)Online publication date: 23-Oct-2011
https://dl.acm.org/doi/10.5555/2063076.2063096
Bikakis NSkourla MPapastefanatos G(undefined)rdf:SynopsViz – A Framework for Hierarchical Linked Data Visual Exploration and AnalysisThe Semantic Web: ESWC 2014 Satellite Events10.1007/978-3-319-11955-7_37(292-297)
https://dl.acm.org/doi/10.1007/978-3-319-11955-7_37

Index Terms

Hide the stack: toward usable linked data
1. Human-centered computing
  1. Human computer interaction (HCI)

Index terms have been assigned to the content through auto-classification.

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Information & Contributors

Information

Published In

cover image Guide Proceedings

ESWC'11: Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I

May 2011

423 pages

ISBN:9783642210334

Editors:
Grigoris Antoniou
FORTH-ICS and University of Crete, Heraklion, Crete, Greece
,
Marko Grobelnik
Jožef Stefan Institute, Ljubljana, Slovenia
,
Elena Simperl
Karlsruhe Institute of Technology, Karlsruhe, Germany
,
Bijan Parsia
University of Manchester, Manchester, UK
,
Dimitris Plexousakis
FORTH-ICS and University of Crete, Heraklion, Crete, Greece

Sponsors

Elsevier
Ontotext
EETN: Hellenic Artificial Intelligence Society
Talis: Talis
IOS Press: IOS Press

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 29 May 2011

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Cited By

Marie NGandon F(2014)Survey of linked data based exploration systemsProceedings of the 3rd International Conference on Intelligent Exploration of Semantic Data - Volume 127910.5555/2877799.2877806(66-77)Online publication date: 20-Oct-2014
https://dl.acm.org/doi/10.5555/2877799.2877806
Costabello L(2011)DC proposalProceedings of the 10th international conference on The semantic web - Volume Part II10.5555/2063076.2063096(269-276)Online publication date: 23-Oct-2011
https://dl.acm.org/doi/10.5555/2063076.2063096
Bikakis NSkourla MPapastefanatos G(undefined)rdf:SynopsViz – A Framework for Hierarchical Linked Data Visual Exploration and AnalysisThe Semantic Web: ESWC 2014 Satellite Events10.1007/978-3-319-11955-7_37(292-297)
https://dl.acm.org/doi/10.1007/978-3-319-11955-7_37

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