2013/01/07 by Daniel Ritter, Ritter, Daniel
Computer Science · #Artificial Intelligence (cs.AI) #Databases (cs.DB) #FOS: Computer and information sciences #Mobile Agent-Based Network Management #Service-Oriented Architecture and Web Services #Software System Performance and Reliability #cs.AI #cs.DB
paper · pdf · doi:10.48550/arxiv.1301.1332
15 pages, The 26th Workshop on Logic Programming (WLP), Bonn, 2012
openalex publication_date 2013/01/07 · arxiv created 2013/01/08 · arxiv updated 2013/01/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The discovery, representation and reconstruction of (technical) integration networks from Network Mining (NM) raw data is a difficult problem for enterprises. This is due to large and complex IT landscapes within and across enterprise boundaries, heterogeneous technology stacks, and fragmented data. To remain competitive, visibility into the enterprise and partner IT networks on different, interrelated abstraction levels is desirable. We present an approach to represent and reconstruct the integration networks from NM raw data using logic programming based on first-order logic. The raw data expressed as integration network model is represented as facts, on which rules are applied to 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.