Abstract
The management of voluminous heterogeneous resources and services in the web environment is a complex task. Semantic knowledge is playing an increasing important role in order to have the heterogeneous resources well managed. In this paper, we propose a knowledge-based data model and query algebra for the next-generation web. In the model, domain ontology knowledge is described within knowledge schema and domain background knowledge is captured in integrity constrain rules. A query algebra is defined to manipulate the modeled resource base. Based on the algebra operators, we define a high-level declarative query language and illustrate it with examples. Finally, a comparison with related works is made. Our work provides a generic foundation of semantic resource management for the future web.
Supported by the National High-Tech Project (Grant No.2001AA113121) of China, National Natural Science Foundation of China (90104021), Beijing Natural Science Foundation (4011003) and National 863 Project(Grant No.2003AA115220)
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
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Codd, E.F.: A relational model of data for large shared data banks, Comm. Of the ACM 13(6), 377–387 (1970)
Semantic Grid, http://www.semanticgrid.org/
Hui, W., et al.: Knowledge Base Grid: A Generic Grid Architecture for Semantic Web. J. Computer Sci.&Technol (JCST) 18(4), 462–473 (2003)
Hai Zhuge, A.: Knowledge grid model and platform for global knowledge sharing. Expert Systems with Applications 22, 313–320 (2002)
Shi, Z., Dong, M., Zhang, H., Sheng, Q.: Agent-based Grid Computing. Keynote Speech. In: International Symposium on Distributed Computing and Applications to Business, Engineering and Science, Wuxi, December 16-20 (2002)
XQuery 1.0: An XML Query Language, http://www.w3.org/TR/xquery/
Karvounarakis, G., Magkanaraki, A., et al.: Querying the Semantic Web with RQL. Computer Networks and ISDN Systems Journal 42(5), 617–640 (2003)
Frasincar, F., et al.: RALÃn Algebra for Querying RDF. In: The 3rd International Conference on Web Information Systems Engineering (WISE), pp. 173–181. IEEE Computer Society, Los Alamitos (2002)
Baader, F., et al.: The Description Logic Handbook – Theory, Implementation and Applications. ISBN: 0521781760, Cambridge University Press (January 2003)
Beneventano, D., Bergamaschi, S., Sartori, C.: Description logics for semantic query optimization in object-oriented database systems. ACM Transactions on Database Systems 28(1), 1–50 (2003)
Hull, R., Benedikt, M., Christophides, V., Su, J.: EServices:A Look Behind the Curtain. In: PODS 2003, San Diego, CA, June 912 (2003)
Cullot, N., Parent, C., Spaccapietra, S., Vangenot, C.: Ontologies: A contribution to the DL/DB debate. In: The first International Workshop on Semantic Web and Databases, Berlin, Germany, September 7-8 (2003)
Halper, M.: L.-m. Liu, J. Geller, Y. Perl, Frameworks for incorporating semantic relationships into object-oriented database systems. Concurrency Computat.: Pract. Exper. (2003) (to appear)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sheng, QJ., Shi, ZZ. (2004). A Knowledge-Based Data Model and Query Algebra for the Next-Generation Web . In: Yu, J.X., Lin, X., Lu, H., Zhang, Y. (eds) Advanced Web Technologies and Applications. APWeb 2004. Lecture Notes in Computer Science, vol 3007. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24655-8_53
Download citation
DOI: https://doi.org/10.1007/978-3-540-24655-8_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21371-0
Online ISBN: 978-3-540-24655-8
eBook Packages: Springer Book Archive