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Koko: A System for Scalable Semantic Querying of Text

Summary: Koko is a declarative semantic-query system combining surface syntax, dependency-tree structure, evidence aggregation, and linguistic-variation tolerance for scalable text extraction. An interactive interface visualizes parses, token/query correspondences, and extraction scores. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11887
Venue
VLDB
Year
2018
Pagerank
-
Overall Rank
13,525 | 7.21%
DOI
10.14778/3229863.3236249

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Authors

BibTeX Citation

@article{wang_vldb18,
        title = {{Koko: A System for Scalable Semantic Querying of Text}},
        author = {Wang, Xiaolan and Komiya, Jiyu and Suhara, Yoshihiko and Feng, Aaron and Golshan, Behzad and Halevy, Alon and Tan, Wang-Chiew},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {12},
        pages = {2018--2021},
        doi = {10.14778/3229863.3236249},
        url = {https://doi.org/10.14778/3229863.3236249},
        year = {2018}
}

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Rank Cited Paper Year Venue Pagerank
11,961 Scalable Semantic Querying of Text 2018 VLDB 5.093636e-05
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