Modeling the Evolving World

Summary: Introduces “story evolution”: a framework that fuses heterogeneous, partial event snapshots into a coherent temporal model capturing entities, relationships, and their evolution. Focus on reconstructing continuous world dynamics from sparse, disjoint events. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 247
Venue: CIDR
Year: 2015
Pagerank: 5.093636e-05
Overall Rank: 12,091 | 17.05%
DOI: -

Incoming Non-self Citations Over Time

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Authors

1. Anja Gruenheid (ETH Zurich)

BibTeX Citation

@inproceedings{gruenheid_cidr15,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '15},
        title = {{Modeling the Evolving World}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Gruenheid, Anja},
        year = {2015}
}

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
2,829	Linking Temporal Records	2011	VLDB	8.0799603e-05

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