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Supporting Ontology-based Semantic Matching in RDBMS

Summary: Introduces SQL-based ontology semantic matching in RDBMS using operators ONT_RELATED, ONT_EXPAND, ONT_DISTANCE, ONT_PATH and a dedicated ONT_INDEXTYPE to accelerate queries. Stores OWL ontologies in system tables and runs inference inside Oracle, enabling direct SQL access and seamless joins over ontology data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9124
Venue
VLDB
Year
2004
Pagerank
7.2302145e-05
Overall Rank
3,315 | 76.94%
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
2,551 NeMa: Fast Graph Search with Label Similarity 2013 VLDB 8.5572574e-05
7,638 Unifying Data and Domain Knowledge Using Virtual Views 2007 VLDB 4.6905993e-05
12,321 Linkage Query Writer 2009 VLDB 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
6,597 Oracle8i Index-Organized Table and its Application to New Domains 2000 VLDB 4.9982502e-05
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