Traversal recursion: a practical approach to supporting recursive applications
SIGMOD '86 Proceedings of the 1986 ACM SIGMOD international conference on Management of data
A file structure supporting traversal recursion
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
Implementing data cubes efficiently
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
A case for dynamic view management
ACM Transactions on Database Systems (TODS)
View selection for designing the global data warehouse
Data & Knowledge Engineering - Data warehousing
Extending SQL with General Transitive Closure and Extreme Value Selections
IEEE Transactions on Knowledge and Data Engineering
Materialized View Selection for Multidimensional Datasets
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
The Magic of Duplicates and Aggregates
VLDB '90 Proceedings of the 16th International Conference on Very Large Data Bases
A Data Warehousing Architecture for Enabling Service Provisioning Process
Proceedings of the 27th International Conference on Very Large Data Bases
Adaptive cleaning for RFID data streams
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Extending the data warehouse for service provisioning data
Data & Knowledge Engineering - Special issue: ER 2003
Efficient aggregation for graph summarization
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Graph OLAP: Towards Online Analytical Processing on Graphs
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
Graph cube: on warehousing and OLAP multidimensional networks
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Optimizing query shortcuts in RDF databases
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
Information extraction, real-time processing and DW2.0 in operational business intelligence
DNIS'10 Proceedings of the 6th international conference on Databases in Networked Information Systems
RDF analytics: lenses over semantic graphs
Proceedings of the 23rd international conference on World wide web
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Advances in the Internet of Things will provide massive amounts of context-aware information that would need to be ingested and understood by supporting IT infrastructures, influencing running processes that trigger actions. As a result, future Business Intelligence (BI) platforms would need to be able to process and analyze complex data. In this paper, we adapt a generic graph model that may be used to represent data in many applications of interest. We then show how analytical queries over these data can be naturally expressed via an OLAP-like aggregation framework we introduce. We describe how ad-hoc aggregations can be easily decomposed into smaller independent computations via a proper query rewriting mechanism. Our techniques provide the basis for selecting materialized views in order to expedite computation of frequent analytical queries in large datasets, enabling data warehousing of collections consisting of millions of graphs. Our experiments demonstrate the benefits of our methods.