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)
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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}
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,907 | Linking Temporal Records | 2011 | VLDB | 7.8701518e-05 |
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