Graph-based Data Integration and Business Intelligence with BIIIG

Summary: Graph-centric data integration and BI with BIIIG, fusing heterogeneous metadata (UMG) and instance data (IIG) for unified analytics. Unique business transaction graphs derived from the IIG enable pattern matching and graph-based aggregation on full graphs or transaction subgraphs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 11012
Venue: VLDB
Year: 2014
Pagerank: 5.093636e-05
Overall Rank: 12,189 | 16.38%
DOI: 10.14778/2733004.2733013

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. André Petermann (University of Leipzig)
2. Martin Junghanns (University of Leipzig)
3. Robert Müller (Leipzig University of Applied Sciences)
4. Erhard Rahm (University of Leipzig)

BibTeX Citation

@article{petermann_vldb14,
        title = {{Graph-based Data Integration and Business Intelligence with BIIIG}},
        author = {Petermann, André and Junghanns, Martin and Müller, Robert and Rahm, Erhard},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {13},
        pages = {1577--1580},
        doi = {10.14778/2733004.2733013},
        url = {https://doi.org/10.14778/2733004.2733013},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
3,160	Graph Cube: On Warehousing and OLAP Multidimensional Networks	2011	SIGMOD	7.6823631e-05

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