Abstract
Document databases are becoming popular, but how to present complex document query to obtain useful information from the document remains an important topic to study. In this paper, we describe the design issues of a pattern-based document database query language named JPQ, which uses various expressive patterns to extract and construct document fragments following a JSON-like document data model. It adopts tree-like extraction patterns with a coherent pattern composition mechanism to extract data elements from hierarchically structured documents and maintain the logical relationships among the elements. Based on these relationships, JPQ deploys a deductive mechanism to declaratively specify the data transformation requests and considers also data filtering on hierarchical data structure.
This research is supported by the NSF of China under contract No.61272110, No.61272275 and No.71420107026, the Open Fund. of Shanghai Key Lab. of Intelligent Info. Processing under contract No.IIPL-2011-002, the State Key Lab. of Software Engineering (SKLSE) under contract No.SKLSE20120907, and the China Postdoctoral Science Foundation under contract No. 2014M562070.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Crockford, D.: The application/json Media Type for JavaScript Object Notation (JSON), RFC 4627 (2006). http://www.ietf.org/rfc
Chodorow, K., Michael, D.: MongoDB: The Definitive Guide. O’Reilly Media, Sebastopol (2010)
Anderson, J.C., Jan, L., Slater, N.: CouchDB: The Definitive Guide: Time to Relax. O’Reilly Media, Sebastopol (2010)
Orientdb. http://www.orientdb.org/
RavenDB. http://ravendb.net/
Beyer, K., Ercegovac, V., Gemulla, R., Balmin, A., et al.: Jaql: a scripting language for large scale semistructured data analysis. Proc. VLDB Endow. 4(12), 1272–1283 (2011)
Jonathan, R., Brantner, M., Florescu, D., et al.: XQuery for JSON, JSON for XQuery. XML Prague 63 2012 (2012)
Prestegarden, D.O.: UnQL: a query language for NoSQL databases. Ph.D. Dissertation., Norwegian University of Science and Technology (2012)
Li, X., Liu, M., Zhang, Y.: Towards a “more declarative” XML query language. In: Bringas, P.G., Hameurlain, A., Quirchmayr, G. (eds.) DEXA 2010, Part II. LNCS, vol. 6262, pp. 375–390. Springer, Heidelberg (2010)
Li, X., Liu, M., Zhu, S., Ghafoor, A.: XTQ: A Declarative Functional XML Query Language. CoRR abs/1406.1224 (2014)
Li, X., Liu, M., et al.: Design Issues of JPQ: a Pattern-based Query Language for Document Databases. Technical Report (2014). http://www.sklse.org:8080/jpq
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
Li, X., Liu, Z., Liu, M., Wu, X., Zhu, S. (2015). Towards a Pattern-Based Query Language for Document Databases. In: Liu, A., Ishikawa, Y., Qian, T., Nutanong, S., Cheema, M. (eds) Database Systems for Advanced Applications. DASFAA 2015. Lecture Notes in Computer Science(), vol 9052. Springer, Cham. https://doi.org/10.1007/978-3-319-22324-7_34
Download citation
DOI: https://doi.org/10.1007/978-3-319-22324-7_34
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-22323-0
Online ISBN: 978-3-319-22324-7
eBook Packages: Computer ScienceComputer Science (R0)