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Authors:Vedran Sabol: Know-Center, Graz, Austria
Weng Onn Kow: Artificial Intelligence Centre, MIMOS Berhad, Technology Park Malaysia, Kuala Lumpur, Malaysia
Manuela Rauch: Know-Center, Graz, Austria
Eva Ulbrich: Know-Center, Graz, Austria
Christin Seifert: Faculty of Computer Science and Mathematics, Passau University, Passau, Germany
Michael Granitzer: Faculty of Computer Science and Mathematics, Passau University, Passau, Germany
Dickson Lukose: Artificial Intelligence Centre, MIMOS Berhad, Technology Park Malaysia, Kuala Lumpur, Malaysia
Publication title:Visual Ontology Alignment System – An Evaluation
Conference:Proceedings of SIGRAD 2012; Interactive Visual Analysis of Data; November 29–30; 2012; Växjö; Sweden
Publication type: Abstract and Fulltext
Issue:081
Article No.:003
Abstract:Ontology alignment is the process of mapping related concepts from different ontologies. A lot of research effort has been invested in development of algorithmic methods supporting automatic discovery of mappings between ontological concepts. However; automatic alignment remains potentially prone to errors especially with large real-world ontologies; demanding intervention of domain experts. We therefore created a semi-automatic tool including algorithmic alignment methods and an interactive visual interface. Visualisation components included in the interface support experts in navigating the concept space and reviewing the automatically generated mapping suggestions. An experiment with 15 test users was performed to evaluate whether; and in which cases the use of visualisation is beneficial compared to a user interface employing standard GUI widgets. The results indicate that users typically executed tasks slightly faster with an interface using standard widgets; but an interface which includes a visualisation component providing overview; filter and narrowing-down functionality achieved higher rates of successful task completion.
Language:English
Keywords:User H.5 [Information Interfaces and Presentation]: User Interfaces—User-centered design
Year:2012
No. of pages:10
Pages:9-18
ISBN:978-91-7519-723-4
Series:Linköping Electronic Conference Proceedings
ISSN (print):1650-3686
ISSN (online):1650-3740
File:http://www.ep.liu.se/ecp/081/003/ecp12081003.pdf
Available:2012-11-20
Publisher:Linköping University Electronic Press; Linköpings universitet

REFERENCE TO THIS PAGE
Vedran Sabol, Weng Onn Kow, Manuela Rauch, Eva Ulbrich, Christin Seifert, Michael Granitzer, Dickson Lukose (2012). Visual Ontology Alignment System – An Evaluation, Proceedings of SIGRAD 2012; Interactive Visual Analysis of Data; November 29–30; 2012; Växjö; Sweden http://www.ep.liu.se/ecp_article/index.en.aspx?issue=081;article=003 (accessed 10/25/2014)