TeCoRe: Temporal Conflict Resolution in Knowledge Graphs
Summary: TeCoRe enables inference and conflict resolution in uncertain knowledge graphs (UTKGs) with two probabilistic reasoners: scalable and expressive. Interface highlights inconsistencies, returns maximal consistent subset, and reports debugging stats. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Melisachew W. Chekol (DWS Group; University of Mannheim)
- 2. Giuseppe Pirro (Institute for High Performance Computing and Networking, National Research Council of Italy)
- 3. Joerg Schoenfisch (DWS Group; University of Mannheim)
- 4. Heiner Stuckenschmidt (DWS Group; University of Mannheim)
BibTeX Citation
@article{chekol_vldb17,
title = {{TeCoRe: Temporal Conflict Resolution in Knowledge Graphs}},
author = {Chekol, Melisachew W. and Pirro, Giuseppe and Schoenfisch, Joerg and Stuckenschmidt, Heiner},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {12},
pages = {1929--1932},
doi = {10.14778/3137765.3137818},
url = {https://doi.org/10.14778/3137765.3137818},
year = {2017}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,556 | A Temporal-Probabilistic Database Model for Information Extraction | 2013 | VLDB | 6.6335067e-05 |
| 6,968 | ArchimedesOne: Query Processing over Probabilistic Knowledge Bases | 2016 | VLDB | 5.7303405e-05 |
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