Personalized Comparing Instances of Domain Ontology Concepts

Characteristics in the user model can be acquired and maintained in several ways, namely by means of implicit or explicit feedback, observation of user's actions, log analysis, etc. We use analysis of the content that is presented to a user. We assume that comparing documents and analyzing thei...

Full description

Saved in:
Bibliographic Details
Main Authors: Andrejko, A., Bielikova, M.
Format: Conference Proceeding
Language:English
Subjects:
concept
Electronic mail
Feedback
Informatics
Information analysis
Information technology
instance
Merging
Ontologies
ontology
personalization
recursion
Semantic Web
similarity
Software engineering
user characteristics
User interfaces
user model
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Characteristics in the user model can be acquired and maintained in several ways, namely by means of implicit or explicit feedback, observation of user's actions, log analysis, etc. We use analysis of the content that is presented to a user. We assume that comparing documents and analyzing their common and different aspects can lead to information about user's interests. We work in the Semantic Web environment where ontologies are used as a mean for content representation. We proposed a recursive method to evaluate similarity of ontological concepts. But computed similarities do not take into account user's individuality, i.e. the same results are computed for each user. User's perception of the similarity measure is subjective. Therefore, we extend the method to compute similarity with regard to the user.
DOI:10.1109/SMAP.2008.13