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» Comparing Similarity Combination Methods for Schema Matching
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SEMWEB
2009
Springer
14 years 3 months ago
Exploiting User Feedback to Improve Semantic Web Service Discovery
State-of-the-art discovery of Semantic Web services is based on hybrid algorithms that combine semantic and syntactic matchmaking. These approaches are purely based on similarity m...
Anna Averbakh, Daniel Krause, Dimitrios Skoutas
ICDE
2006
IEEE
162views Database» more  ICDE 2006»
14 years 10 months ago
Efficient Batch Top-k Search for Dictionary-based Entity Recognition
We consider the problem of speeding up Entity Recognition systems that exploit existing large databases of structured entities to improve extraction accuracy. These systems requir...
Amit Chandel, P. C. Nagesh, Sunita Sarawagi
SAC
2002
ACM
13 years 8 months ago
Color patterns for pictorial content description
In this paper, we propose a new type of image feature, which consists of patterns of colors and intensities that capture the latent associations among images and primitive feature...
Daniela Stan, Ishwar K. Sethi
AAAI
2006
13 years 10 months ago
Mixed Collaborative and Content-Based Filtering with User-Contributed Semantic Features
We describe a recommender system which uses a unique combination of content-based and collaborative methods to suggest items of interest to users, and also to learn and exploit it...
Matthew Garden, Gregory Dudek
ICCV
2005
IEEE
14 years 10 months ago
Avoiding the "Streetlight Effect": Tracking by Exploring Likelihood Modes
Classic methods for Bayesian inference effectively constrain search to lie within regions of significant probability of the temporal prior. This is efficient with an accurate dyna...
David Demirdjian, Leonid Taycher, Gregory Shakhnar...