An adaptive peer-to-peer network for distributed caching of OLAP results
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Aggregate-Query Processing in Data Warehousing Environments
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
The Piazza Peer Data Management System
IEEE Transactions on Knowledge and Data Engineering
Schema mediation for large-scale semantic data sharing
The VLDB Journal — The International Journal on Very Large Data Bases
Rewriting queries with arbitrary aggregation functions using views
ACM Transactions on Database Systems (TODS)
Two approaches to the integration of heterogeneous data warehouses
Distributed and Parallel Databases
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
Structural characterizations of schema-mapping languages
Communications of the ACM - Amir Pnueli: Ahead of His Time
Managing an XML warehouse in a P2P context
CAiSE'03 Proceedings of the 15th international conference on Advanced information systems engineering
myOLAP: An Approach to Express and Evaluate OLAP Preferences
IEEE Transactions on Knowledge and Data Engineering
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
OLAP query reformulation in peer-to-peer data warehousing
Information Systems
Partial multi-dimensional schema merging in heterogeneous data warehouses
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
Hi-index | 0.00 |
Inter-business collaborative contexts prefigure a distributed scenario where companies organize and coordinate themselves to develop common and shared opportunities. Traditional business intelligence systems do not provide support to this end. Peer Data Management Systems (PDMSs) have been proposed as architectures to support sharing of operational data across networks of peers while guaranteeing peers' autonomy, based on semantic mappings that mediate between the heterogeneous schemata exposed by peers. In line with the PDMS infrastructure, in this paper we envision a peer-to-peer data warehousing architecture based on a network of heterogeneous peers, each exposing query answering functionalities aimed at sharing business information. To enhance the decision making process, an OLAP query expressed on a peer needs be properly reformulated on the other peers. In this direction, we present a language for the definition of mappings between the multidimensional schemata of peers, and we introduce a query reformulation framework that relies on the translation of these mappings towards relational schemata. Finally, we sketch the query reformulation algorithm by outlining the reformulation steps of typical OLAP queries.