DBScholar

Back to papers

S-ToPSS: Semantic Toronto Publish/Subscribe System

Summary: S-ToPSS augments content-based publish/subscribe with domain-specific semantic matching, correlating publications and subscriptions by meaning rather than syntactic equality. A job-finder demonstration matches candidate profiles to recruiter requirements for selective dissemination. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9256
Venue
VLDB
Year
2003
Pagerank
5.3145098e-05
Overall Rank
9,146 | 37.26%
DOI
10.1016/B978-012722442-8/50115-4

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{petrovic_vldb03,
        title = {{S-ToPSS: Semantic Toronto Publish/Subscribe System}},
        author = {Petrovic, Milenko and Burcea, Ioana and Jacobsen, Hans-Arno},
        journal = {PVLDB},
        series = {{VLDB} '03},
        doi = {10.1016/B978-012722442-8/50115-4},
        url = {https://doi.org/10.1016/B978-012722442-8/50115-4},
        year = {2003}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
6,901 Near-Optimal Algorithms for Shared Filter Evaluation in Data Stream Systems 2008 SIGMOD 5.742719e-05
Previous Page 1 / 1 Next

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
441 Filtering Algorithms and Implementation for Very Fast Publish/Subscribe Systems 2001 SIGMOD 0.00018407547
Previous Page 1 / 1 Next

Semantically Similar Papers