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Type Classification of Semi-Structured Documents

Summary: Experimental vector-space classifier for automatic type inference of semi-structured documents; provides explicit typing to support object-oriented techniques. Targets high recall/precision, fast speed, and extensibility, with empirical evaluation of accuracy and performance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8274
Venue
VLDB
Year
1995
Pagerank
4.1945683e-05
Overall Rank
12,814 | 10.86%
DOI
-

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
393 From Structured Documents to Novel Query Facilities 1994 SIGMOD 0.00024524092
2,292 The Rufus System: Information Organization for Semi-Structured Data 1993 VLDB 9.0904272e-05
2,569 Optimizing Queries on Files 1994 SIGMOD 8.5218077e-05
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