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IJMSO
2010
90views more  IJMSO 2010»
13 years 3 months ago
Measuring intrinsic quality of semantic search based on feature vectors
: Search is probably the most frequent activity on the Web. Yet it is not effortless, mainly due to heterogeneous information resources. Semantic search is a means to tackle the pr...
Stein L. Tomassen, Darijus Strasunskas
IJWGS
2010
116views more  IJWGS 2010»
13 years 1 months ago
Constructing Feature Vectors for search: investigating intrinsic quality impact on search performance
Abstract: In this paper, we revisit our approach to construction of semanticlinguistic Feature Vectors (FVs) used to enhance Web search. These FVs are built based on domain semanti...
Stein L. Tomassen, Darijus Strasunskas
CIVR
2006
Springer
126views Image Analysis» more  CIVR 2006»
13 years 8 months ago
Semantics Supervised Cluster-Based Index for Video Databases
High-dimensional index is one of the most challenging tasks for content-based video retrieval (CBVR). Typically, in video database, there exist two kinds of clues for query: visual...
Zhiping Shi, Qingyong Li, Zhiwei Shi, Zhongzhi Shi
CVPR
2009
IEEE
14 years 12 months ago
Learning Semantic Visual Vocabularies Using Diffusion Distance
In this paper, we propose a novel approach for learning generic visual vocabulary. We use diffusion maps to au-tomatically learn a semantic visual vocabulary from ab-undant quantiz...
Jingen Liu (University of Central Florida), Yang Y...
BDA
2007
13 years 6 months ago
BMatch: a Semantically Context-based Tool Enhanced by an Indexing Structure to Accelerate Schema Matching
Schema matching is a crucial task to gather information of the same domain. This is more true on the web, where a large number of data sources are available and require to be matc...
Fabien Duchateau, Zohra Bellahsene, Mathieu Roche