SOR: A Practical System for Ontology Storage, Reasoning and Search
Summary: SOR uses a relational DBMS for scalable ontology storage, reasoning, and SPARQL querying. Faceted, relationship-aware ontology search interface; demonstrates practical semantic MDM by unifying storage, inference, and search in one system. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
BibTeX Citation
@article{lu_vldb07,
title = {{SOR: A Practical System for Ontology Storage, Reasoning and Search}},
author = {Lu, Jing and Ma, Li and Zhang, Lei and Brunner, Jean-Sébastien and Wang, Chen and Pan, Yue and Yu, Yong},
journal = {PVLDB},
series = {{VLDB} '07},
pages = {1402--1405},
year = {2007}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,980 | Schema-Based Query Optimisation for Graph Databases | 2025 | SIGMOD | 5.1013913e-05 |
| 12,806 | SMDM: Enhancing Enterprise-Wide Master Data Management Using Semantic Web Technologies | 2009 | VLDB | 4.9793485e-05 |
| 12,852 | Effective and Efficient Semantic Web Data Management over DB2 | 2008 | SIGMOD | 4.9793485e-05 |
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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 |
|---|---|---|---|---|
| 3,856 | Efficient Query Processing for Multi-Dimensionally Clustered Tables in DB2 | 2003 | VLDB | 6.96934e-05 |
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