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Knowledge Graph Exploration Systems: are we lost?

Summary: Position paper surveying KG exploration approaches and arguing that mainstream KG data-management neglects exploration needs arising from large, heterogeneous, provenance-rich KGs. Identifies unmet requirements (interaction, summarization, provenance-aware views, explainability, scalable query/analytics) and proposes research directions toward systems that natively support exploration. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
451
Venue
CIDR
Year
2022
Pagerank
5.4119882e-05
Overall Rank
8,520 | 41.55%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{lissandrini_cidr22,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '22},
        title = {{Knowledge Graph Exploration Systems: are we lost?}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Lissandrini, Matteo and Mottin, Davide and Hose, Katja and Pedersen, Torben Bach},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,549 Love-at-First-Sight: First Answers Without the Awkward Silence in Big Knowledge Graphs 2026 VLDB 5.093636e-05
10,830 PlanRGCN: Predicting SPARQL Query Performance 2025 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

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

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