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)

Paper ID: 9755
Venue: VLDB
Year: 2007
Pagerank: 5.1703259e-05
Overall Rank: 10,045 | 31.09%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Jing Lu (IBM; Shanghai Jiao Tong University)
2. Li Ma (IBM)
3. Lei Zhang (IBM)
4. Jean-Sébastien Brunner (IBM)
5. Chen Wang (IBM)
6. Yue Pan (IBM)
7. Yong Yu (Shanghai Jiao Tong University)

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
9,811	Schema-Based Query Optimisation for Graph Databases	2025	SIGMOD	5.214913e-05
12,516	SMDM: Enhancing Enterprise-Wide Master Data Management Using Semantic Web Technologies	2009	VLDB	5.093636e-05
12,562	Effective and Efficient Semantic Web Data Management over DB2	2008	SIGMOD	5.093636e-05

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
3,796	Efficient Query Processing for Multi-Dimensionally Clustered Tables in DB2	2003	VLDB	7.1198446e-05

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