Massive Ontology Interface
Article No.: 8, Pages 1 - 8
Abstract
This paper describes the Massive Ontology Interface (MOI), a web portal which facilitates interaction with a large ontology (over 200,000 concepts and 1.6M assertions) that is built automatically using the OpenCyc ontology as a backbone. The aim of the interface is to simplify interaction with the massive amounts of information and guide the user towards understanding the ontology's data. Using either a text or graph-based representation, users can discuss and edit the ontology. Social elements utilizing gamification techniques are included to encourage users to create and collaborate on stored knowledge as part of a web community.
An evaluation by 30 users comparing MOI with OpenCyc's original interface showed significant improvements in user understanding of the ontology, although full testing of the interface's social elements lies in the future.
References
[1]
Auer, S., Bizer, C., Kobilarov, G., Lehmann, J, Cyganiak, R., Ives, Z. 2007. DBPedia: A Nucleus for a Web of Open Data. In Aberer, K. et al (eds.) ISWC/ASWC 2007, LNCS 4825. Springer, Berlin Heidelberg, 722--735.
[2]
Berners-Lee, T. 2002. Foreword. Spinning the Semantic Web: Bringing the World Wide Web to its Full Potential, D. Fensel (ed.). Cambridge: MIT Press.
[3]
Berners-Lee, T., Hendler, J, and Lassila, O. 2001. The Semantic Web. Scientific American 284(5): 34--43.
[4]
Bizer, C., Lehmann, J., Kobilarov, G., Auer, S., Becker, C., Hellmann, S. 2009. DBpedia? A Crystallization Point for the Web of Data. Web Semantics: Science, Services and Agents on the World Wide Web, 7(3), 154--165.
[5]
Deterding, S. Sicart, M., Nacke, L., O'Hara, K., Dixon, D., 2011. Gamification: Using Game Design Elements in Non-Gaming Contexts. ACM CHI Conference on Human Factors in Computing Systems, CHI 2011, May 7--12, 2011, Vancouver, BC, Canada.
[6]
Domingue, J. 1998. Tadzebao and WebOnto: Discussing, Browsing, and Editing Ontologies on the Web. In Proceedings of the 11th Knowledge Acquisition, Modelling and Management Workshop, KAW'98, Banff, Canada.
[7]
Fensel, D. 2001. Ontologies: A Silver Bullet for Knowledge Management and Electronic Management. Berlin, Springer.
[8]
Hoffart, J., Suchanek, F.M., Berberich, K., Weikum, G. 2013. YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia, Artificial Intelligence 194, 28--61.
[9]
Katifori, A., Halatisis, C., Lepouras, G., Vassliakis, C., Giannopolou, E. 2007. Ontology Visualization Methods -- A Survey. ACM Computing Surveys 39(4), article no. 10.
[10]
Legg, C., Sarjant, S. 2012. Bill Gates is not a Parking Meter: Philosophical Quality Control in Automated Ontologybuilding, Symposium on Computational Philosophy, AISB/IACAP World Congress 2012, Birmingham, England.
[11]
Legg, C., Sarjant, S., 2013. Ontological Quality Control in Large-Scale, Applied Ontology Matching. Proceedings of the Workshop on Ontology Matching, OM-2013. ISWC-2013, Sydney, Australia.
[12]
Lenat, D.B. 1995. Cyc: A Large-Scale Investment in Knowledge Infrastructure. Communications of the ACM 38 (11).
[13]
Medelyan, O., and Legg, C. 2008. Integrating Cyc and Wikipedia: Folksonomy meets Rigorously Defined Commonsense. Proc., Workshop on Wikipedia and AI. AAAI08. Chicago, USA.
[14]
Medelyan, O., Legg, C., Milne, D., and Witten, I.H. 2009. Mining Meaning from Wikipedia. International Journal of Human-Computer Studies, 67(9), 716--754.
[15]
Sarjant, S., Legg, C., Robinson, M., Medelyan, O. 2009. 'All you can eat' Ontology-building: Feeding Wikipedia to Cyc. Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology-Volume 01. Milan, Italy.
[16]
Sowa, J. 2004. The Challenge of Knowledge Soup. In Research Trends in Science, Technology and Mathematics Education, J. Ramadas and S. Chunawala (2005), 55--90. Mumbai: Homi Bhabha Centre.
[17]
Suchanek, F. M., Kasneci, G., and Weikum, G. 2008. Yago: A Large Ontology from Wikipedia and WordNet. Elsevier Journal of Web Semantics 6(3), 203--217.
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Published In
March 2015
85 pages
ISBN:9781450326407
DOI:10.1145/2542242
- Conference Chair:
- Mark Billinghurst,
- Program Chair:
- Stuart Marshall
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Published: 15 November 2013
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CHINZ '13
CHINZ '13: 14th Annual ACM SIGCHI_NZ conference on Computer-Human Interaction
November 15 - 16, 2013
Christchurch, New Zealand
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