Learning continuous time Markov chains from sample executions
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 …
have been used to model and analyze a variety of practical systems. In this paper we …
Learning structured knowledge from social tagging data: A critical review of methods and techniques
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 …
to mine social tagging data and to learn structured knowledge. It is essential to conduct a …
Semantic emergence from social tagging systems
M Alruqimi, N Aknin - International Journal of Organizational and …, 2015 - igi-global.com
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 …
content is created collaboratively by users. This kind of environments allows users to assign …
[PDF][PDF] An integrated Approach to drive ontological structure from folksonomie
Z Marouf, SM Benslimane - International journal of information …, 2014 - researchgate.net
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 …
is at the center of service in terms of publications and reactions. This transforms the user …
Learning relations from social tagging data
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 …
data. Our work aims to find relations among social tags and organise them into hierarchies …
[HTML][HTML] SCA Advice System: Ontology Framework for a Computer Curricula Advice System Based on Student Behavior
P Wongchomphu, C Beokhaimook - 2023 - jicce.org
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 …
provides advice on appropriate computer curricula based on the behavior of high school …
Gold-standard evaluation of a folksonomy-based ontology learning model
E Djuana - Journal of Physics: Conference Series, 2018 - iopscience.iop.org
Folksonomy, as one result of collaborative tagging process, has been acknowledged for its
potential in improving categorization and searching of web resources. However, folksonomy …
potential in improving categorization and searching of web resources. However, folksonomy …
Fuzzy clustering-based approach to derive hierarchical structures from folksonomies
M Zahia, BS Mohamed - 2013 ACS International Conference …, 2013 - ieeexplore.ieee.org
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 …
organize large collections of data. The informal social classification structure in these …
Towards Ontological Structures Extraction from Folksonomies: An Efficient Fuzzy Clustering Approach
M Zahia, BS Mohamed - International Journal of Intelligent …, 2014 - igi-global.com
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 …
resources on the Web. In this paper, the authors propose an integrated approach to extract …
[PDF][PDF] Folksonomy-Based Ontology: A Link Between Intelligence and Meaning in Psychology and Educational Sciences1
N Goodarzi, Y Norouzi, MSH Beheshti… - … and Techniques of …, 2024 - journals.qom.ac.ir
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 …
folksonomy and establish a symbiotic relationship between the two technologies for the …