The explosive growth of textual data on the web coupled with the increase on demand for
ontologies to promote the semantic web, have made the automatic ontology construction …

Ontologies are at the core of the semantic web. As knowledge bases, they are very useful
resources for many artificial intelligence applications. Ontology learning, as a research area …

The purpose of this study was to propose and validate a measurable model of learner
participation in the context of online asynchronous discussion. We supplemented the …

With the rapid development of smart cities, various types of sensors can rapidly collect a
large amount of data, and it becomes increasingly important to discover effective knowledge …

Structured research data management in catalysis is crucial, especially for large amounts of
data, and should be guided by FAIR principles for easy access and compatibility of data …

An asynchronous online discussion forum has been a prevalent means of collaborative
online learning. Yet, it remains challenging for instructors to identify who and how students …

A method is proposed to be used as the first step in the ontology acquisition process. This
method is based on the use of concept maps as a means of expression for the expert …

As mobile technologies become widespread, new challenges are facing the research
community to develop lightweight learning services adapted to the learner's profile, context …

Abstract Concepts extraction is the backbone task for an ontology construction system.
Identifying the relevant concepts is considered one of the main challenges of automatic …

Ontology is one of the most popular representation model used for knowledge
representation, sharing and reusing. In light of the importance of ontology, different …