Minimal probing: supporting expensive predicates for top-k queries
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
DBPL '01 Revised Papers from the 8th International Workshop on Database Programming Languages
Texquery: a full-text search extension to xquery
Proceedings of the 13th international conference on World Wide Web
Adaptive Processing of Top-k Queries in XML
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
RankSQL: query algebra and optimization for relational top-k queries
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
XML full-text search: challenges and opportunities
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Report on the DB/IR panel at SIGMOD 2005
ACM SIGMOD Record
Boolean + ranking: querying a database by k-constrained optimization
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Merging the results of approximate match operations
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
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In this paper, we present rank-aware XML data model and algebra, which aims at providing a seamless support and integration of ranked queries with precise queries. Our data model is based on ranked XML trees by extending the semantics of XML trees to be rank-aware. A collection of ranked XML trees which can be ordered by their ranks is modeled as a sequence, which is the basis for ranked XML operations. With ranked XML tree model, we extend XML algebra by introducing new ranking operator and extending ordinary XML operators to fully support top-k queries. A set of algebraic laws is also defined in this paper for rewriting and optimizing top-k queries.