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Believe It or Not: Adding Belief Annotations to Databases

Summary: Proposes Belief Databases enabling belief-annotated data and annotations to capture disagreement in collaborative scientific repositories. Grounded in a fragment of multi-agent epistemic logic, it uses a canonical Kripke structure and translates queries to relational queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9841
Venue
VLDB
Year
2009
Pagerank
5.3078955e-05
Overall Rank
5,837 | 59.44%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

Rank Citing Paper Year Venue Pagerank
4,557 Managing Structured Collections of Community Data 2011 CIDR 6.0815338e-05
6,019 Linearized and Single-Pass Belief Propagation 2015 VLDB 5.2365238e-05
7,647 User Guidance for Efficient Fact Checking 2019 VLDB 4.6844821e-05
8,705 Data Conflict Resolution Using Trust Mappings 2010 SIGMOD 4.4589067e-05
9,175 InsightNotes: Summary-Based Annotation Management in Relational Databases 2014 SIGMOD 4.3806741e-05
11,916 Even Metadata is Getting Big: Annotation Summarization using InsightNotes 2015 SIGMOD 4.1905499e-05
11,930 Proactive Annotation Management in Relational Databases 2015 SIGMOD 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

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

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