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Supporting Ontology-based Semantic Matching in RDBMS

Summary: Embeds OWL ontology storage, inferencing, and semantic matching directly in SQL via ONT_RELATED/EXPAND/DISTANCE/PATH operators and system tables. ONT_INDEXTYPE accelerates matching, enabling efficient joins and other relational processing without API-mediated queries. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9315
Venue
VLDB
Year
2004
Pagerank
6.722108e-05
Overall Rank
4,404 | 69.79%
DOI
10.1016/B978-012088469-8.50092-9

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{das_vldb04,
        title = {{Supporting Ontology-based Semantic Matching in RDBMS}},
        author = {Das, Souripriya and Chong, Eugene Inseok and Eadon, George and Srinivasan, Jagannathan},
        journal = {PVLDB},
        series = {{VLDB} '04},
        doi = {10.1016/B978-012088469-8.50092-9},
        url = {https://doi.org/10.1016/B978-012088469-8.50092-9},
        year = {2004}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
2,285 NeMa: Fast Graph Search with Label Similarity 2013 VLDB 8.8052998e-05
7,621 Unifying Data and Domain Knowledge Using Virtual Views 2007 VLDB 5.5806924e-05
12,515 Linkage Query Writer 2009 VLDB 5.093636e-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
6,879 Oracle8i Index-Organized Table and its Application to New Domains 2000 VLDB 5.7475732e-05
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