This paper presents a method for measuring the semantic similarity between concepts in
Knowledge Graphs (KGs) such as WordNet and DBpedia. Previous work on semantic …

The tremendous development in information technology led to an explosion of data and
motivated the need for powerful yet efficient strategies for knowledge discovery. Question …

In this research, we communicate the design and evaluation of a consumer financial goals
ontology to be utilized as a knowledgebase within recommender systems applications …

Term mismatch is a common limitation of traditional information retrieval (IR) models where
relevance scores are estimated based on exact matching of documents and queries …

Cet article fait le point dans le domaine de la recherche d'information sémantique (RIS), qui
est à l'intersection de plusieurs disciplines: recherche d'information (RI), ingénierie des …

As data size grows and computing power evolves, artificial intelligence has become one of
the most important tools for assisting data-intensive scientific discoveries. The development …

Basically keywords are used to index and retrieve the documents for the user query in a
conventional information retrieval systems. When more than one keywords are used for …

We define a general framework for ontology-based information retrieval (IR). In our
approach, document and query expansion rely on a base taxonomy that is extracted from a …

Many studies on folksonomy analysis have focused on discovering meaningful patterns
between three main entities (ie, users, tags, and resources) from a folksonomy system to …

La recommandation consiste à proposer à un utilisateur un produit qui corresponde au
mieux à son profil ou ses attentes, que celles-ci aient été exprimées explicitement ou …