Scalable Semantic Querying of Text
Summary: KOKO extends declarative information extraction with joint surface-text and dependency-tree predicates, variation-tolerant concepts, and document-level evidence aggregation. A multi-index design and extraction heuristics deliver compact, fast, effective querying at Wikipedia scale (5M articles). (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Xiaolan Wang (University of Massachusetts Amherst)
- 2. Aaron Feng (Megagon Labs)
- 3. Behzad Golshan (Megagon Labs)
- 4. Alon Halevy (Megagon Labs)
- 5. George Mihaila (Megagon Labs)
- 6. Hidekazu Oiwa (Megagon Labs)
- 7. Wang-Chiew Tan (Megagon Labs)
BibTeX Citation
@article{wang_vldb18,
title = {{Scalable Semantic Querying of Text}},
author = {Wang, Xiaolan and Feng, Aaron and Golshan, Behzad and Halevy, Alon and Mihaila, George and Oiwa, Hidekazu and Tan, Wang-Chiew},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {9},
pages = {961--974},
doi = {10.14778/3213880.3213887},
url = {https://doi.org/10.14778/3213880.3213887},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,722 | Adaptive Rule Discovery for Labeling Text Data | 2021 | SIGMOD | 6.1089867e-05 |
| 13,525 | Koko: A System for Scalable Semantic Querying of Text | 2018 | VLDB | - |
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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 |
|---|---|---|---|---|
| 48 | DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases | 1997 | VLDB | 0.00044033592 |
| 319 | Declarative Information Extraction Using Datalog with Embedded Extraction Predicates | 2007 | VLDB | 0.00021377065 |
| 7,524 | Efficient Indexing and Querying over Syntactically Annotated Trees | 2012 | VLDB | 5.6029996e-05 |
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