A fuzzy ontology approach to represent user profiles in e-learning environments

A fuzzy-based recommender approach for learning objects management systems

“…A fuzzy ontology, in this context, may be considered as a set of directed graphs where each node represents an item and the edges denote that a term "is related with" other term. The proposal includes several stages of data processing, which were divided into five steps: linguistic pre-processing, term indexing (called pre-ontology), user relevant terms extraction, user ontology generation and user profile update as can be seen in [11]. In this fuzzy ontology, a relatedness degree (RD) is associated with each edge to represent the strength of the "is related with" association.…”

“…The structural dimension is modelled using measures as completeness and timeliness; the contextual dimension is modelled using a domain ontology, for example, the genetic context could be modelled using the Gene Ontology 1 and the personal dimension is modelled by a fuzzy ontology automatically built from the LO's provided or selected by the user [11]. Within this context, and taking advantage of Fuzzy Logic [12], we addressed the definition, implementation and validation of a process to construct the recommendation system.…”

Enhancing portfolio assessment: An application of fuzzy ontologies

“…Ontologies have proved to be successful in handling a machine-processable information representation and have been used to model knowledge in various applications [3] [4]. They can take the simple form of a taxonomy or as a vocabulary with standardized machine-interpretable terminology supplemented with natural language definitions.…”

Applying Ontology-Based Personal Profile for Product Search System

“…Therefore, the work on ontology concept began with the development meaning of information on semantic web search. This ontology concept can be applied personal profile to many applications in [2], [3], [4], [5], which the term of personal profile mostly refer to the system generates a personalized view of its information. Personal profile is presented user's interest on the basic analysis.…”

“…However, the personal profiles are not applied with product search system and they gave difference meaning. In [2], [3] represents personal profiles that get from user logs and try to extract as domain ontology to collect user's activity such as user's interest in order to manage with user's update for computing support called indirect personal profile. In [4], [5] studied both direct and indirect personal profiles including user's preferences, behavior and context for analysis that is derived from past user behavior and preferences as an ontology-based semantic personal profile within recommended system in social network.…”