DBScholar

Back to papers

IMPROVE-QA: An Interactive Mechanism for RDF Question/Answering Systems

Summary: IMPROVE-QA: interactive RDF QA framework refines the SPARQL query (Q) into a more precise graph (Q') via feedback, improving D(Q) to D(Q'). Demo shows per-query lessons that boost precision on future NL questions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5578
Venue
SIGMOD
Year
2018
Pagerank
-
Overall Rank
13,520 | 7.25%
DOI
10.1145/3183713.3193555

Incoming Non-self Citations Over Time

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

Authors

BibTeX Citation

@inproceedings{zhang_sigmod18,
        title = {{IMPROVE-QA: An Interactive Mechanism for RDF Question/Answering Systems}},
        author = {Zhang, Xinbo and Zou, Lei},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3193555},
        url = {https://dl.acm.org/doi/10.1145/3183713.3193555},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
3,981 Natural Language Question Answering over RDF — A Graph Data Driven Approach 2014 SIGMOD 6.9746167e-05
Previous Page 1 / 1 Next

Semantically Similar Papers