Most probable explanations for probabilistic database queries

Most probable explanations for probabilistic database queries

Forming the foundations of large-scale knowledge bases, probabilistic databases have been widely studied in the literature. In particular, probabilistic query evaluation has been investigated intensively as a central inference mechanism. However, despite its power, query evaluation alone cannot extr...

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Príomhchruthaitheoirí:	Ceylan, I, Borgwardt, S, Lukasiewicz, T
Rannpháirtithe:	Sierra, C
Formáid:	Conference item
Foilsithe / Cruthaithe:	IJCAI 2017

Míreanna comhchosúla

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Recent advances in querying probabilistic knowledge bases
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Ontology-mediated query answering over log-linear probabilistic data
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Preferred explanations for ontology−mediated queries under existential rules
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Monads for measurable queries in probabilistic databases
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Dichotomies for queries with negation in probabilistic databases
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Query with Assumptions for Probabilistic Relational Databases
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Conjunctive Query Answering in Probabilistic Datalog+⁄− Ontologies
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Conjunctive Query Answering in Probabilistic Datalog+/- Ontologies.
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Preference−Based Query Answering in Probabilistic Datalog+⁄− Ontologies
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Query Answering under Probabilistic Uncertainty in Datalog+⁄− Ontologies
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Preference−Based Query Answering in Probabilistic Datalog+⁄− Ontologies
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The Dichotomy of Evaluating Homomorphism-Closed Queries on Probabilistic Graphs
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Ranking Query Answers in Probabilistic Databases: Complexity and Efficient Algorithms
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Evaluation of relational algebra queries on probabilistic databases: tractability and approximation
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Query Answering in Probabilistic Datalog+⁄− Ontologies under Group Preferences
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Parallel and Progressive Approaches for Skyline Query Over Probabilistic Incomplete Database
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Query Answering in Datalog+⁄− Ontologies under Group Preferences and Probabilistic Uncertainty
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Complexity results for probabilistic datalog±
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Query answering in ontologies under preference rankings
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Explanations for ontology-mediated query answers
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GenSQL: A Probabilistic Programming System for Querying Generative Models of Database Tables
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Open-world probabilistic databases: an abridged report
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The TOP Database Model − Taxonomy‚ Object−Orientation and Probability
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