Abstract
To maximize the advantages of both SPARQL and keyword search, we introduce a novel paradigm that combines both of them and propose a hybrid query (called an SK query) that integrates SPARQL and keyword search in this paper. In order to answer SK queries efficiently, a structural index is devised and a novel integrated query algorithm is proposed. We evaluate our method in large real RDF graphs and experiments demonstrate both effectiveness and efficiency of our method.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Aditya, B., Bhalotia, G., Chakrabarti, S., Hulgeri, A., Nakhe, C., Parag, Sudarshan, S.: BANKS: Browsing and Keyword Searching in Relational Databases. In: VLDB (2002)
Cilibrasi, R., Vitányi, P.M.B.: The google similarity distance. IEEE Trans. Knowl. Data Eng. 19(3), 370–383 (2007)
Elbassuoni, S., Ramanath, M., Schenkel, R., Weikum, G.: Searching RDF graphs with sparql and keywords. IEEE Data Eng. Bull. 33(1), 16–24 (2010)
Garey, M.R., Johnson, D.S.: Computers and Intractability: A Guide to the Theory of NP-Completeness. W. H. Freeman and Company, San Francisco (1979)
Järvelin, K., Kekäläinen, J.: IR evaluation methods for retrieving highly relevant documents. In: SIGIR, pp. 41–48 (2000)
Neumann, T., Weikum, G.: RDF-3X: A RISC-style Engine for RDF. PVLDB 1(1), 647–659 (2008)
Pei, J., Han, J., Mortazavi-Asl, B., Pinto, H., Chen, Q., Dayal, U., Hsu, M.: Prefixspan: Mining sequential patterns by prefix-projected growth. In: ICDE, pp. 215–224 (2001)
Peng, P., Zou, L., Zhao, D.: On the marriage of SPARQL and keywords. CoRR, abs/1411.6335 (2014)
Pérez, J., Arenas, M., Gutierrez, C.: Semantics and complexity of SPARQL. ACM Trans. Database Syst. 34(3) (2009)
Pound, J., Ilyas, I.F., Weddell, G.E.: Expressive and flexible access to web-extracted data: a keyword-based structured query language. In: SIGMOD, pp. 423–434 (2010)
Suchanek, F.M., Kasneci, G., Weikum, G.: Yago: a core of semantic knowledge. In: WWW, pp. 697–706 (2007)
Tran, T., Wang, H., Rudolph, S., Cimiano, P.: Top-k Exploration of Query Candidates for Efficient Keyword Search on Graph-Shaped (RDF) Data. In: ICDE, pp. 405–416 (2009)
Turpin, A., Scholer, F.: User performance versus precision measures for simple search tasks. In: SIGIR, pp. 11–18 (2006)
Wang, H., Tran, T., Liu, C., Fu, L.: Lightweight integration of IR and DB for scalable hybrid search with integrated ranking support. J. Web Sem. 9(4), 490–503 (2011)
Zou, L., Chen, L., Özsu, M.T.: Distancejoin: Pattern match query in a large graph database. PVLDB 2(1), 886–897 (2009)
Zou, L., Huang, R., Wang, H., Yu, J.X., He, W., Zhao, D.: Natural language question answering over RDF: a graph data driven approach. In: SIGMOD, pp. 313–324 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Peng, P., Zou, L., Zhao, D. (2015). On the Marriage of SPARQL and Keywords. In: Cheng, R., Cui, B., Zhang, Z., Cai, R., Xu, J. (eds) Web Technologies and Applications. APWeb 2015. Lecture Notes in Computer Science(), vol 9313. Springer, Cham. https://doi.org/10.1007/978-3-319-25255-1_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-25255-1_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25254-4
Online ISBN: 978-3-319-25255-1
eBook Packages: Computer ScienceComputer Science (R0)