11 citations · 28 across the 11 of their papers we have counts for
11 papers
Exploring Weighted Property Approaches for RDF Graph Similarity Measure
Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou
Measuring similarity between RDF graphs is essential for various applications, including knowledge discovery, semantic web analysis, and recommender systems. However, traditional s…
Combining Embedding-Based and Semantic-Based Models for Post-hoc Explanations in Recommender Systems
Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou
In today's data-rich environment, recommender systems play a crucial role in decision support systems. They provide to users personalized recommendations and explanations about the…
Recognizing Similar Crises through the Application of Ontology-based Knowledge Mining
Ngoc Luyen Le, Marie-Hélène Abel, Elsa Negre
Recognizing and learning from similar crisis situations is crucial for the development of effective response strategies. This study addresses the challenge of identifying similarit…
CORec-Cri: How collaborative and social technologies can help to contextualize crises?
Ngoc Luyen Le, Jinfeng Zhong, Elsa Negre +1
Crisis situations can present complex and multifaceted challenges, often requiring the involvement of multiple organizations and stakeholders with varying areas of expertise, respo…
Designing a User Contextual Profile Ontology: A Focus on the Vehicle Sales Domain
Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou
In the digital age, it is crucial to understand and tailor experiences for users interacting with systems and applications. This requires the creation of user contextual profiles t…
A Constraint-based Recommender System via RDF Knowledge Graphs
Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou
Knowledge graphs, represented in RDF, are able to model entities and their relations by means of ontologies. The use of knowledge graphs for information modeling has attracted inte…