Abstract
A Collaborative Data Sharing System (CDSS) allows groups of scientists to work together and share their data in the presence of disparate database schemas and instances. Each group can extend, curate, and revise its own database instance in a disconnected mode. At some later point, the group may publish the updates it made for the benefit of others and to get updates from other groups (if any). Any conflicting updates are handled by the reconciliation operation which usually rejects such updates temporally and marks them as “deferred”. The deferred set is then resolved manually according to pre-defined data reconciliation policies, priorities, etc. for the whole group. In this paper, we present an approach to resolve conflicts in an automatic manner. The focus is to resolve conflicts in the deferred set by collecting feedbacks about the quality of conflicting updates from local users, and then weighing, and aggregating the different feedbacks to assess the most “trusted” update.
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.
References
Gatterbauer, W., Balazinska, M., Khoussainova, N., Suciu, D.: Believe it or not: adding belief annotations to databases. Proc. VLDB Endow. 2, 1–12 (2009)
Gatterbauer, W., Suciu, D.: Data conflict resolution using trust mappings. In: Proc. of SIGMOD 2010, pp. 219–230. ACM (2010)
Motro, A., Anokhin, P.: Fusionplex: resolution of data inconsistencies in the integration of heterogeneous information sources. Information Fusion 7(2), 176–196 (2006)
Bleiholder, J., Draba, K., Naumann, F.: Fusem: exploring different semantics of data fusion. In: Proc. 33rd VLDB 2007, pp. 1350–1353. VLDB Endowment (2007)
Bernstein, P.A., Giunchiglia, F., Kementsietsidis, A., Mylopoulos, J., Serafini, L., Zaihrayeu, I.: Data management for peer-to-peer computing: A vision. In: Proc. of the 5th WebDB 2002, pp. 89–94 (2002)
Ives, Z.G., Green, T.J., Karvounarakis, G., Taylor, N.E., Tannen, V., Talukdar, P.P., Jacob, M., Pereira, F.: The orchestra collaborative data sharing system. SIGMOD Rec. 37, 26–32 (2008)
Snodgrass, R.T.: Developing time-oriented database applications in SQL. Morgan Kaufmann Publishers Inc., San Francisco (2000)
Cudre-Mauroux, P., Kimura, H., Lim, K.-T., Rogers, J., Simakov, R., Soroush, E., Velikhov, P., Wang, D.L., Balazinska, M., Becla, J., DeWitt, D., Heath, B., Maier, D., Madden, S., Patel, J., Stonebraker, M., Zdonik, S.: A demonstration of scidb: a science-oriented dbms. Proc. VLDB Endow. 2, 1534–1537 (2009)
Pichler, R., Savenkov, V., Skritek, S., Hong-Linh, T.: Uncertain databases in collaborative data management. In: Proc. 36st VLDB 2010. VLDB Endow. (2010)
Buchegger, S., Le Boudec, J.-Y.: A robust reputation system for p2p and mobile ad-hoc networks. In: Proc. of 2nd Workshop on Economics of P2P Sys. (2004)
Whitby, A., Josang, A., Indulska, J.: Filtering out unfair ratings in bayesian reputation systems. Science 4(2), 106–117 (2004)
Taylor, N.E., Ives, Z.G.: Reconciling while tolerating disagreement in collaborative data sharing. In: Proc. of the SIGMOD 2006, pp. 13–24. ACM (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Khazalah, F., Malik, Z., Medjahed, B. (2012). Automatic Conflict Resolution in a CDSS. In: Ailamaki, A., Bowers, S. (eds) Scientific and Statistical Database Management. SSDBM 2012. Lecture Notes in Computer Science, vol 7338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31235-9_27
Download citation
DOI: https://doi.org/10.1007/978-3-642-31235-9_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31234-2
Online ISBN: 978-3-642-31235-9
eBook Packages: Computer ScienceComputer Science (R0)