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» Probabilistic Ranking of Database Query Results
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HIM
1997
Springer
162views Multimedia» more  HIM 1997»
13 years 12 months ago
Probabilistic Logical Information Retrieval for Content, Hypertext, and Database Querying
Classical retrieval models support content-oriented searching for documents using a set of words as data model. However, in hypertext and database applications we want to consider...
Thomas Rölleke, Markus Blömer
SIGMOD
2004
ACM
163views Database» more  SIGMOD 2004»
14 years 7 months ago
Rank-aware Query Optimization
Ranking is an important property that needs to be fully supported by current relational query engines. Recently, several rank-join query operators have been proposed based on rank...
Ihab F. Ilyas, Rahul Shah, Walid G. Aref, Jeffrey ...
DASFAA
2009
IEEE
149views Database» more  DASFAA 2009»
13 years 11 months ago
Demonstrating Effective Ranked XML Keyword Search with Meaningful Result Display
Abstract. In this paper, we demonstrate an effective ranked XML keyword search with meaningful result display. Our system, named ICRA, recognizes a set of object classes in XML dat...
Zhifeng Bao, Bo Chen, Tok Wang Ling, Jiaheng Lu
ICDE
2010
IEEE
252views Database» more  ICDE 2010»
14 years 7 months ago
Semantic Ranking and Result Visualization for Life Sciences Publications
An ever-increasing amount of data and semantic knowledge in the domain of life sciences is bringing about new data management challenges. In this paper we focus on adding the seman...
Julia Stoyanovich, Kenneth A. Ross, William Mee
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
14 years 8 months ago
Ranking distributed probabilistic data
Ranking queries are essential tools to process large amounts of probabilistic data that encode exponentially many possible deterministic instances. In many applications where unce...
Feifei Li, Ke Yi, Jeffrey Jestes