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» A method for modeling uncertainty in semantic web taxonomies
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ICMCS
2006
IEEE
174views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Web Image Mining Based on Modeling Concept-Sensitive Salient Regions
In this paper, we propose a probabilistic model for web image mining, which is based on concept-sensitive salient regions without human intervene. Our goal is to achieve a middle-...
Jing Liu, Qingshan Liu, Jinqiao Wang, Hanqing Lu, ...
DLOG
2007
14 years 11 months ago
SEMilarity: Towards a Model-Driven Approach to Similarity
Enabling the Semantic Web requires solving the semantic heterogeneity problem, for which ontology matching methods have been proposed. These methods rely on similarity measures tha...
Rudi Araújo, Helena Sofia Pinto
WWW
2007
ACM
15 years 10 months ago
Extending WebML towards semantic web
Available methodologies for developing Sematic Web applications do not fully exploit the whole potential deriving from interaction with ontological data sources. Here we introduce...
Federico Michele Facca, Marco Brambilla
WWW
2007
ACM
15 years 10 months ago
Semantic personalization of web portal contents
Enriching Web applications with personalized data is of major interest for facilitating the user access to the published contents, and therefore, for guaranteeing successful user ...
Christina Tziviskou, Marco Brambilla
LAWEB
2004
IEEE
14 years 11 months ago
Integrating Semantic Concept Similarity in Model-Based Web Applications
Model-based design methods, and model-based architectures, have gained adoption in authoring applications for the WWW. This is further reinforced by the increasing visibility of t...
Cristiano Rocha, Daniel Schwabe, Marcus Poggi de A...