PREFER: a system for the efficient execution of multi-parametric ranked queries
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Top-k selection queries over relational databases: Mapping strategies and performance evaluation
ACM Transactions on Database Systems (TODS)
A Probabilistic Framework for Vague Queries and Imprecise Information in Databases
VLDB '90 Proceedings of the 16th International Conference on Very Large Data Bases
Supporting Incremental Join Queries on Ranked Inputs
Proceedings of the 27th International Conference on Very Large Data Bases
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
RankSQL: query algebra and optimization for relational top-k queries
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Answering top-k queries with multi-dimensional selections: the ranking cube approach
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Foundations of preferences in database systems
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
A survey of top-k query processing techniques in relational database systems
ACM Computing Surveys (CSUR)
Querying for provenance, trust, uncertainty and other meta knowledge in RDF
Web Semantics: Science, Services and Agents on the World Wide Web
An execution environment for C-SPARQL queries
Proceedings of the 13th International Conference on Extending Database Technology
Streaming SPARQL extending SPARQL to process data streams
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
AnQL: SPARQLing up annotated RDFS
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
A general framework for representing, reasoning and querying with annotated Semantic Web data
Web Semantics: Science, Services and Agents on the World Wide Web
Incremental reasoning on streams and rich background knowledge
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
Combining dependent annotations for relational algebra
Proceedings of the 15th International Conference on Database Theory
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Information retrieval on RDF data benefits greatly from additional provenance information attached to the individual pieces of information. Provenance information such as origin of data, certainty, and temporal information on RDF statements can be used to rank search results according to one of those dimensions. In this paper, we consider the problem of aggregating provenance information from different dimensions in order to obtain a joint ranking over all dimensions. We relate this to the problem of preference aggregation in social choice theory and translate different solutions for preference aggregation to the problem of aggregating provenance rankings. By exploiting the ranking orderings on the provenance dimensions, we characterize three different approaches for aggregating preferences, namely the lexicographical rule, the Borda rule and the plurality rule, in our framework of provenance aggregation.