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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
11273
Venue
VLDB
Year
2016
Pagerank
5.2483924e-05
Overall Rank
5,964 | 58.56%
DOI
-

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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
205 Constructing an Interactive Natural Language Interface for Relational Databases 2015 VLDB 0.00034651121
3,293 Biperpedia: An Ontology for Search Applications 2014 VLDB 7.2598242e-05
3,330 Schemaless and Structureless Graph Querying 2014 VLDB 7.2116683e-05
3,967 SLQ: A User-friendly Graph Querying System 2014 SIGMOD 6.5781961e-05
4,685 Discovering and Exploring Relations on the Web 2012 VLDB 5.9929983e-05
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10,864 Exploring Exploratory Querying 2025 VLDB 4.1905499e-05
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6,016 X2Q: Your Personal Example-based Graph Explorer 2018 VLDB 5.2365238e-05
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8,282 Knowledge Graph Exploration Systems: are we lost? 2022 CIDR 4.5392079e-05
11,690 PivotE: Revealing and Visualizing the Underlying Entity Structures for Exploration 2019 VLDB 4.1905499e-05