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Semantic search engine with an intuitive user interface

Published: 07 April 2014 Publication History

Abstract

It is crucial to enable regular users to explore RDF-compliant data bases in an effective way, regardless their knowledge about the SPARQL or the underlying ontology. Natural language querying have been proposed to address this issue. However it has unavoidably lower accuracy, as compared to systems with graph-based querying interfaces, which, in turn, are usually still too difficult for regular users. This paper presents a search system of user interface that is more user-friendly than widely known graph-based solutions.

References

[1]
D. Damljanovic, M. Agatonovic, and H. Cunningham, "Natural language interfaces to ontologies: Combining syntactic analysis and ontology-based lookup through the user interaction." in ESWC (1), ser. Lecture Notes in Computer Science, L. Aroyo, G. Antoniou, E. Hyvunen, A. ten Teije, H. Stuckenschmidt, L. Cabral, and T. Tudorache, Eds., vol. 6088. Springer, 2010, pp. 106--120.
[2]
L. Han, T. Finin, and A. Joshi, "GoRelations: An intuitive query system for DBpedia." in JIST, ser. Lecture Notes in Computer Science, J. Z. Pan, H. Chen, H.-G. Kim, J. Li, Z. Wu, I. Horrocks, R. Mizoguchi, and Z. Wu, Eds., vol. 7185. Springer, 2011, pp. 334--341.
[3]
G. Kasneci, F. M. Suchanek, G. Ifrim, M. Ramanath, and G. Weikum, "NAGA: Searching and ranking knowledge," in 24th International Conference on Data Engineering (ICDE 2008). Mexico: IEEE Press, 2008.
[4]
V. Lopez, M. Fernandez, E. Motta, and N. Stieler, "Poweraqua: Supporting users in querying and exploring the semantic web." Semantic Web, vol. 3, no. 3, pp. 249--265, 2012.
[5]
"Facebook Graph Search," https://www.facebook.com/about/graphsearch, 2013.
[6]
"Question Answering over Linked Data," http://greententacle.techfak.uni-bielefeld.de/cunger/qald/, 2013.

Cited By

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  • (2019)The Case for a Linked Data Research Engine for Legal ScholarsEuropean Journal of Risk Regulation10.1017/err.2019.51(1-24)Online publication date: 4-Nov-2019

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Published In

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WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web
April 2014
1396 pages
ISBN:9781450327459
DOI:10.1145/2567948
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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  • IW3C2: International World Wide Web Conference Committee

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 April 2014

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Author Tags

  1. RDF
  2. SPARQL
  3. dbpedia
  4. search
  5. semantic web

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WWW '14
Sponsor:
  • IW3C2

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

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  • (2019)The Case for a Linked Data Research Engine for Legal ScholarsEuropean Journal of Risk Regulation10.1017/err.2019.51(1-24)Online publication date: 4-Nov-2019

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