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» Ontology ranking based on the analysis of concept structures
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DKE
2002
218views more  DKE 2002»
15 years 6 months ago
Computing iceberg concept lattices with T
We introduce the notion of iceberg concept lattices and show their use in knowledge discovery in databases. Iceberg lattices are a conceptual clustering method, which is well suit...
Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas P...
MVA
2006
205views Computer Vision» more  MVA 2006»
15 years 6 months ago
Ontological inference for image and video analysis
Abstract This paper presents an approach to designing and implementing extensible computational models for perceiving systems based on a knowledge-driven joint inference approach. ...
Christopher Town
CLEF
2009
Springer
15 years 4 months ago
Overview of the CLEF 2009 Large-Scale Visual Concept Detection and Annotation Task
The large-scale visual concept detection and annotation task (LS-VCDT) in ImageCLEF 2009 aims at the detection of 53 concepts in consumer photos. These concepts are structured in ...
Stefanie Nowak, Peter Dunker
NLDB
2007
Springer
16 years 26 days ago
Combining Vector Space Model and Multi Word Term Extraction for Semantic Query Expansion
Abstract. In this paper, we target document ranking in a highly technical field with the aim to approximate a ranking that is obtained through an existing ontology (knowledge stru...
Eric SanJuan, Fidelia Ibekwe-Sanjuan, Juan Manuel ...
ECAI
2008
Springer
15 years 8 months ago
Approximate structure preserving semantic matching
Abstract. Typical ontology matching applications, such as ontology integration, focus on the computation of correspondences holding between the nodes of two graph-like structures, ...
Fausto Giunchiglia, Mikalai Yatskevich, Fiona McNe...