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Exploratory Querying of Extended Knowledge Graphs

Summary: TriniT enables exploratory querying over knowledge graphs, addressing vocabulary mismatch by relaxation and incompleteness by adding OpenIE token triples. It extends the query language and ranking, and supports interactive relaxations and explanations. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h48f0b74c2e23a992
Venue
VLDB
Year
2016
Pagerank
5.8787728e-05
Overall Rank
6,125 | 58.82%
DOI
10.14778/3007263.3007299

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{yahya_vldb16,
        title = {{Exploratory Querying of Extended Knowledge Graphs}},
        author = {Yahya, Mohamed and Berberich, Klaus and Ramanath, Maya and Weikum, Gerhard},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {13},
        pages = {1521},
        doi = {10.14778/3007263.3007299},
        url = {https://doi.org/10.14778/3007263.3007299},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
180 Constructing an Interactive Natural Language Interface for Relational Databases 2015 VLDB 0.0002654471
3,277 Biperpedia: An Ontology for Search Applications 2014 VLDB 7.4670652e-05
3,679 SLQ: A User-friendly Graph Querying System 2014 SIGMOD 7.1045672e-05
4,466 Schemaless and Structureless Graph Querying 2014 VLDB 6.5872459e-05
5,536 Discovering and Exploring Relations on the Web 2012 VLDB 6.0920872e-05
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