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Why not simply Google?

Published: 26 October 2014 Publication History

Abstract

We demonstrate an ontology-based visual query system, namely OptiqueVQS, for end users without any technical background to formulate rather complex information needs into formal queries over databases. It is built on multiple and coordinated representation and interaction paradigms and a flexible widget-based architecture.

References

[1]
Bobed, C., Esteban, G., and Mena, E. Enabling keyword search on Linked Data repositories: An ontology-based approach. International Journal of Knowledge-Based and Intelligent Engineering Systems 17, 1 (2013), 67--77.
[2]
Brunetti, J. M., Garcia, R., and Auer, S. From overview to facets and pivoting for interactive exploration of semantic web data. International Journal on Semantic Web and Information Systems 9, 1 (2013), 1--20.
[3]
Catarci, T., Costabile, M. F., Levialdi, S., and Batini, C. Visual query systems for databases: A survey. Journal of Visual Languages and Computing 8, 2 (1997), 215--260.
[4]
Catarci, T., Dongilli, P., Di Mascio, T., Franconi, E., Santucci, G., and Tessaris, S. An ontology based visual tool for query formulation support. In Proceedings of the 16th Eureopean Conference on Artificial Intelligence (ECAI 2004), vol. 110 of Frontiers in Artificial Intelligence and Applications, IOS Press (2004), 308--312.
[5]
Damljanovic, D., Agatonovic, M., Cunningham, H., and Bontcheva, K. Improving habitability of natural language interfaces for querying ontologies with feedback and clarification dialogues. Web Semantics: Science, Services and Agents on the World Wide Web 19 (2013), 1--21.
[6]
Giese, M., Calvaneswe, D., Horrocks, I., Ioannidis, Y., Klappi, H., Koubarakis, M., Lenzerini, M., Moller, R., Ozcep, O., Rodriguez Muro, M., Rosati, R., Schlatte, R., Soylu, A., and Waaler, A. Scalable End-user Access to Big Data. In Big Data Computing, A. Rajendra, Ed. Chapman and Hall/CRC, 2013.
[7]
Lieberman, H., Paternó, F., Klann, M., and Wulf, V. End-User Development: An Emerging Paradigm. In End-User Development, H. Lieberman, F. Paternó, and V. Wulf, Eds., vol. 9 of Human-Computer Interaction Series. Springer, Netherlands, 2006, 1--8.
[8]
Ruiz, F., and Hilera, J. R. Using Ontologies in Software Engineering and Technology. In Ontologies for Software Engineering and Software Technology, C. Calero, F. Ruiz, and M. Piattini, Eds. Springer-Verlag, 2006, 49--102.
[9]
Shneiderman, B. Direct Manipulation: A Step Beyond Programming Languages. Computer 16, 8 (1983), 57--69.
[10]
Siau, K. L., Chan, H. C., and Wei, K. K. Effects of query complexity and learning on novice user query performance with conceptual and logical database interfaces. IEEE Transactions on Systems, Man and Cybernetics - Part A: Systems and Humans 34, 2 (2004), 276--281.
[11]
Smart, P. R., Russell, A., Braines, D., Kalfoglou, Y., Bao, J., and Shadbolt, N. A Visual Approach to Semantic Query Design Using a Web-Based Graphical Query Designer. In Proceedings of the 16th International Conference on Knowledge Engineering: Practice and Patterns (EKAW 2008), vol. 5268 of LNCS, Springer (2008), 275--291.
[12]
Soylu, A., Giese, M., Jimenez-Ruiz, E., Kharlamov, E., Zheleznyakov, D., and Horrocks, I. OptiqueVQS -- Towards an Ontology-based Visual Query System for Big Data. In Proceedings of the International Conference on Management of Emergent Digital EcoSystems (MEDES 2013), ACM (2013), 119--126.
[13]
Soylu, A., Moedritscher, F., Wild, F., De Causmaecker, P., and Desmet, P. Mashups by orchestration and widget-based personal environments: Key challenges, solution strategies, and an application. Program: Electronic Library and Information Systems 46, 4 (2012), 383--428.
[14]
Ter Hofstede, A. H. M., Proper, H. A., and Van Der Weide, T. P. Query formulation as an information retrieval problem. Computer Journal 39, 4 (1996), 255--274.
[15]
Tunkelang, D., and Marchionini, G. Faceted Search. Synthesis Lectures on Information Concepts, Retrieval, and Services. Morgan and Claypool Publishers, 2009.
[16]
Zviedris, M., and Barzdins, G. ViziQuer: a tool to explore and query SPARQL endpoints. In Proceedings of the 8th Extended Semantic Web Conference (ESWC 2011), vol. 6644 of LNCS, Springer (2011), 441--445.

Cited By

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  • (2018)Towards Simplification of Analytical Workflows With Semantics at Siemens (Extended Abstract)2018 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2018.8622652(1951-1954)Online publication date: Dec-2018
  • (2017)Semantic access to streaming and static data at SiemensWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2017.02.00144:C(54-74)Online publication date: 1-May-2017
  • (2015)Ontology Based Access to Exploration Data at StatoilThe Semantic Web - ISWC 201510.1007/978-3-319-25010-6_6(93-112)Online publication date: 11-Oct-2015
  • Show More Cited By

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Published In

cover image ACM Other conferences
NordiCHI '14: Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational
October 2014
361 pages
ISBN:9781450325424
DOI:10.1145/2639189
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2014

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Author Tags

  1. end-user data access
  2. ontologies
  3. visual query formulation

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  • Research-article

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NordiCHI '14

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NordiCHI '14 Paper Acceptance Rate 89 of 361 submissions, 25%;
Overall Acceptance Rate 379 of 1,572 submissions, 24%

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Cited By

View all
  • (2018)Towards Simplification of Analytical Workflows With Semantics at Siemens (Extended Abstract)2018 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2018.8622652(1951-1954)Online publication date: Dec-2018
  • (2017)Semantic access to streaming and static data at SiemensWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2017.02.00144:C(54-74)Online publication date: 1-May-2017
  • (2015)Ontology Based Access to Exploration Data at StatoilThe Semantic Web - ISWC 201510.1007/978-3-319-25010-6_6(93-112)Online publication date: 11-Oct-2015
  • (undefined)An Ontology-Mediated Analytics-Aware Approach to Support Monitoring and Diagnostics of Static and Streaming DataSSRN Electronic Journal10.2139/ssrn.3313406
  • (undefined)Semantic Access to Streaming and Static Data at SiemensSSRN Electronic Journal10.2139/ssrn.3199299

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