Continuous-time Markov Chains (CTMCs) are an important class of stochastic models that
have been used to model and analyze a variety of practical systems. In this paper we …

For more than a decade, researchers have been proposing various methods and techniques
to mine social tagging data and to learn structured knowledge. It is essential to conduct a …

Recently, Social tagging systems (folksonomies) have become very popular platforms where
content is created collaboratively by users. This kind of environments allows users to assign …

Web 2.0 is an evolution toward a more social, interactive and collaborative web, where user
is at the center of service in terms of publications and reactions. This transforms the user …

An interesting research direction is to discover structured knowledge from user generated
data. Our work aims to find relations among social tags and organise them into hierarchies …

This study proposed an SCA advice system. It is an ontology-based recommender that
provides advice on appropriate computer curricula based on the behavior of high school …

Folksonomy, as one result of collaborative tagging process, has been acknowledged for its
potential in improving categorization and searching of web resources. However, folksonomy …

Collaborative tagging systems have recently emerged as a powerful way to label and
organize large collections of data. The informal social classification structure in these …

Folksonomies are one of the technologies of Web 2.0 that permit users to annotate
resources on the Web. In this paper, the authors propose an integrated approach to extract …

Purpose: The aim of the present study is to reconcile the dual embodiment of ontology and
folksonomy and establish a symbiotic relationship between the two technologies for the …