Provenance in Keyword Search

Summary: Advocates systematically recording provenance of keyword-search scoring to make ranking explainable and to address limitations of current explainers (e.g., Lucene). Proposes three components: a scoring ontology, an XML scoring schema with parametric natural-language annotations, and a provenance query language/UI to answer how-/why-/where-provenance. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 244
Venue: CIDR
Year: 2015
Pagerank: -
Overall Rank: 13,569 | 6.91%
DOI: -

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Authors

1. Wensheng Wu (University of North Carolina)

BibTeX Citation

@inproceedings{wu_cidr15,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '15},
        title = {{Provenance in Keyword Search}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Wu, Wensheng},
        year = {2015}
}

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