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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
9564
Venue
VLDB
Year
2007
Pagerank
4.2617199e-05
Overall Rank
9,891 | 31.20%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
9,676 Schema-Based Query Optimisation for Graph Databases 2025 SIGMOD 4.3047774e-05
12,322 SMDM: Enhancing Enterprise-Wide Master Data Management Using Semantic Web Technologies 2009 VLDB 4.1945683e-05
12,369 Effective and Efficient Semantic Web Data Management over DB2 2008 SIGMOD 4.1945683e-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
3,028 Efficient Query Processing for Multi-Dimensionally Clustered Tables in DB2 2003 VLDB 7.6816205e-05
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