Abstract
In the last few years, the large amount of personal information in RDF format is widely deployed. To access the semantic information, it needs a semantic formal query (e.g. SPARQL query). However, this kind of query requires users to know the ontology structure and master its syntax. This paper proposes the X-SKengine, the semantic keyword search engine for specific expert discovery domain. The X-SKengine transforms the user keywords to the SPARQL query using a bidirectional fix root query graph construction algorithm which is able to compute the query graphs without limitation of the directions of relationships in ontologies. The experiment was conducted to compare the capability of SPARQL query construction between X-SKengine and the previous version. The results show that X-SKengine can automatically construct SPARQL queries relevant to meaning of user keywords for various ontology structures.
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References
Zhou, Q., Wang, C., Xiong, M., Wang, H., Yu, Y.: SPARK: Adapting keyword query to semantic search. In: Aberer, K., et al. (eds.) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 694–707. Springer, Heidelberg (2007)
Wang, H., Zhang, K., Liu, Q., Tran, T., Yu, Y.: Q2Semantic: A lightweight keyword interface to semantic search. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 584–598. Springer, Heidelberg (2008)
Tran, T., Cimiano, P., Rudolph, S., Studer, R.: Ontology-based interpretation of keywords for semantic search. In: Aberer, K., et al. (eds.) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 523–536. Springer, Heidelberg (2007)
Sitthisarn, S., Lau, L.M.S., Dew, P.M.: Semantic keyword search for expert witness discovery. In: 2011 International Conference on Semantic Technology and Information Retrieval (STAIR), Kuala Lumpur, Malaysia, pp. 18–25. IEEE (2011)
Elbassuoni, S., Blanco, R.: Keyword search over RDF graphs. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management (CIKM 2011) (2011)
FOAF Vocabulary Specification 0.91. http://xmlns.com.foaf.spec/
Kargioti, E., Kontopoulos, E., Bassiliades, N.: OntoLife: An ontology for semantically managing personal information. In: Iliadis, L., Vlahavas, I., Bramer, M. (eds.) Artificial Intelligence Applications and Innovations III. IFIP, vol. 296, pp. 127–133. Springer, Boston (2009)
He, H., Wang, H., Yang, J., Yu, P.S.: BLINKS: ranked keyword searches on graphs. In: SIGMOD Conference (2007)
Bojars, U., Breslin, J.G.: ResumeRDF: Expressing skill information on the semantic web. In: The 1st International ExpertFinder Workshop, Berlin, Germany (2007)
Voorhees, E.M.: The TREC-8 Question Answering Track Report, NIST (2000)
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Sitthisarn, S. (2015). A Semantic Keyword Search Based on the Bidirectional Fix Root Query Graph Construction Algorithm. In: Supnithi, T., Yamaguchi, T., Pan, J., Wuwongse, V., Buranarach, M. (eds) Semantic Technology. JIST 2014. Lecture Notes in Computer Science(), vol 8943. Springer, Cham. https://doi.org/10.1007/978-3-319-15615-6_29
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DOI: https://doi.org/10.1007/978-3-319-15615-6_29
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