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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
11272
Venue
VLDB
Year
2016
Pagerank
5.3044504e-05
Overall Rank
5,839 | 59.39%
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
206 Constructing an Interactive Natural Language Interface for Relational Databases 2015 VLDB 0.00034667032
3,288 Biperpedia: An Ontology for Search Applications 2014 VLDB 7.273034e-05
3,320 Schemaless and Structureless Graph Querying 2014 VLDB 7.2249102e-05
3,955 SLQ: A User-friendly Graph Querying System 2014 SIGMOD 6.5910012e-05
4,686 Discovering and Exploring Relations on the Web 2012 VLDB 5.9987806e-05
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10,860 Exploring Exploratory Querying 2025 VLDB 4.1945683e-05
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