Ontology-based Semantic Similarity in Generating Context-aware Collaborator Recommendations
Li, Siying; Abel, Marie-Helene; Negre, Elsa (2021), Ontology-based Semantic Similarity in Generating Context-aware Collaborator Recommendations, in Shen, Weiming; Barthès, Jean-Paul; Luo, Junzhou; Shi, Yanjun; Zhang, Jinghui, 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD), IEEE - Institute of Electrical and Electronics Engineers : Piscataway, NJ, p. 751-756. 10.1109/CSCWD49262.2021.9437647
Type
Communication / ConférenceDate
2021Conference title
2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)Conference date
2021-05Conference city
DalianConference country
ChinaBook title
2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)Book author
Shen, Weiming; Barthès, Jean-Paul; Luo, Junzhou; Shi, Yanjun; Zhang, JinghuiPublisher
IEEE - Institute of Electrical and Electronics Engineers
Published in
Piscataway, NJ
ISBN
978-1-7281-6597-4
Pages
751-756
Publication identifier
Metadata
Show full item recordAuthor(s)
Li, SiyingAbel, Marie-Helene
Negre, Elsa
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)
Nowadays, the number of collaborative tools has increased significantly. This makes it difficult for users to find the collaborators that are most relevant to their needs among these tools. Besides, their needs can also be influenced by the context of collaboration (e.g., workplace, tools, and resources). This raises an issue: how to help users find their collaborators within the collaboration context. In our research, we propose an ontology-based semantic similarity and employ it in a collaboration context ontology to generate context-aware collaborator recommendations for users. In this paper, we present how to calculate and apply the semantic similarity in context-aware recommendation algorithms.Subjects / Keywords
Ontology-based semantic similarity; Context-aware recommendations; Collaborator; Collaboration contextRelated items
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