STARTS: Stanford Proposal for Internet Meta-Searching
Summary: STARTS proposes an Internet meta-search protocol to query and merge results across heterogeneous sources. Distinctive as a group effort led by Stanford's Digital Library with partners, emphasizing governance and metadata exposure over formal standardization. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,131 | Automatic Discovery of Language Models for Text Databases | 1999 | SIGMOD | 0.00013777757 |
| 1,492 | Distributed Search over the Hidden Web: Hierarchical Database Sampling and Selection | 2002 | VLDB | 0.00011694396 |
| 1,899 | Merging Ranks from Heterogeneous Internet Sources | 1997 | VLDB | 0.00010170921 |
| 12,575 | When one Sample is not Enough: Improving Text Database Selection Using Shrinkage | 2004 | SIGMOD | 4.1945683e-05 |
| 12,730 | A Multi-Similarity Algebra | 1998 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,256 | Generalizing GLOSS to Vector-Space Databases and Broker Hierarchies | 1995 | VLDB | 0.00013022726 |
| 3,112 | The Effectiveness of GLOSS for the Text Database Discovery Problem | 1994 | SIGMOD | 7.5472744e-05 |
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