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» Personalization Using Ontologies and Rules
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ESWA
2007
127views more  ESWA 2007»
13 years 9 months ago
An anticipation model of potential customers' purchasing behavior based on clustering analysis and association rules analysis
This paper proposes an anticipation model of potential customers’ purchasing behavior. This model is inferred from past purchasing behavior of loyal customers and the web server...
Horng-Jinh Chang, Lun-Ping Hung, Chia-Ling Ho
PCI
2005
Springer
14 years 3 months ago
A Graphical Rule Authoring Tool for Defeasible Reasoning in the Semantic Web
Defeasible reasoning is a rule-based approach for efficient reasoning with incomplete and inconsistent information. Such reasoning is useful for many applications in the Semantic W...
Nick Bassiliades, Efstratios Kontopoulos, Grigoris...
DEXA
2009
Springer
120views Database» more  DEXA 2009»
14 years 4 months ago
Supporting Personal Semantic Annotations in P2P Semantic Wikis
In this paper, we propose to extend Peer-to-Peer Semantic Wikis with personal semantic annotations. Semantic Wikis are one of the most successful Semantic Web applications. In sema...
Diego Torres, Hala Skaf-Molli, Alicia Díaz,...
ESWS
2008
Springer
13 years 11 months ago
An User Interface Adaptation Architecture for Rich Internet Applications
Abstract. The need for adaptive and personalized Rich Internet Application puts a new dimension to already existing approaches of Adaptive Hypermedia Systems. Instead of computing ...
Kay-Uwe Schmidt, Jörg Dörflinger, Tirdad...
OTM
2005
Springer
14 years 3 months ago
OWL-Based User Preference and Behavior Routine Ontology for Ubiquitous System
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
Kim Anh Pham Ngoc, Young-Koo Lee, Sungyoung Lee