Principles of database and knowledge-base systems, Vol. I
Principles of database and knowledge-base systems, Vol. I
DATALOG with Constraints: A Foundation for Trust Management Languages
PADL '03 Proceedings of the 5th International Symposium on Practical Aspects of Declarative Languages
Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions
Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions
The Emerging Web of Linked Data
IEEE Intelligent Systems
Boom analytics: exploring data-centric, declarative programming for the cloud
Proceedings of the 5th European conference on Computer systems
Datalog and emerging applications: an interactive tutorial
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
A path algebra for multi-relational graphs
ICDEW '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering Workshops
From network mining to large scale business networks
Proceedings of the 21st international conference companion on World Wide Web
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The discovery, representation and reconstruction of Business Networks (BN) from Network Mining (NM) raw data is a difficult problem for enterprises. This is due to e.g. complex business processes within and across enterprise boundaries, heterogeneous technology stacks, and fragmented data. To remain competitive, visibility into the enterprise and partner networks on different, interrelated abstraction levels is desirable. We present an approach to represent and reconstruct one part of the BN - the (technical) integration networks - from NM raw data using Datalog. The raw data expressed as integration network model is represented as Datalog facts, on which Datalog rules are applied to infer and thus reconstruct the network. We have built a system that is used to apply this approach to real-world enterprise landscapes and we report on our experience with this system.