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» Querying Semistructured Heterogeneous Information
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MIR
2010
ACM
207views Multimedia» more  MIR 2010»
13 years 8 months ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...
WWW
2006
ACM
14 years 10 months ago
Knowledge modeling and its application in life sciences: a tale of two ontologies
High throughput glycoproteomics, similar to genomics and proteomics, involves extremely large volumes of distributed, heterogeneous data as a basis for identification and quantifi...
Satya Sanket Sahoo, Christopher Thomas, Amit P. Sh...
WWW
2003
ACM
14 years 10 months ago
The chatty web: emergent semantics through gossiping
This paper describes a novel approach for obtaining semantic interoperability among data sources in a bottom-up, semiautomatic manner without relying on pre-existing, global seman...
Karl Aberer, Manfred Hauswirth, Philippe Cudr&eacu...
SIGMOD
2004
ACM
189views Database» more  SIGMOD 2004»
14 years 10 months ago
A Holistic Paradigm for Large Scale Schema Matching
Schema matching is a critical problem for integrating heterogeneous information sources. Traditionally, the problem of matching multiple schemas has essentially relied on finding ...
Bin He, Kevin Chen-Chuan Chang
MM
2004
ACM
149views Multimedia» more  MM 2004»
14 years 3 months ago
Designing experiential environments for management of personal multimedia
With the increasing ubiquity of sensors and computational resources, it is becoming easier and increasingly common for people to electronically record, photographs, text, audio, a...
Rahul Singh, Rachel Knickmeyer, Punit Gupta, Rames...