Type Classification of Semi-Structured Documents

Summary: Introduces a vector-space classifier that infers types of semi-structured documents from their implicit structure, enabling type-specific object-oriented methods. Evaluates the design for precision/recall, speed, and extensibility. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 8465
Venue: VLDB
Year: 1995
Pagerank: 5.093636e-05
Overall Rank: 13,008 | 10.76%
DOI: -

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Markus Tresch (IBM)
2. Neal Palmer (IBM)
3. Allen Luniewski (IBM)

BibTeX Citation

@article{tresch_vldb95,
        title = {{Type Classification of Semi-Structured Documents}},
        author = {Tresch, Markus and Palmer, Neal and Luniewski, Allen},
        journal = {PVLDB},
        series = {{VLDB} '95},
        pages = {263--274},
        year = {1995}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
571	From Structured Documents to Novel Query Facilities	1994	SIGMOD	0.0001632382
2,574	The Rufus System: Information Organization for Semi-Structured Data	1993	VLDB	8.3995947e-05
2,588	Optimizing Queries on Files	1994	SIGMOD	8.3742403e-05

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