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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Font, L., Piché, D., Zouaq, A., & Gagnon, M. (2021, December). Integrating Heterogeneous Data About Quebec Literature into an IFLA LRM Knowledge Base [Paper]. 23rd International Conference on Asia-Pacific Digital Libraries (ICADL 2021). External link
Levesque, F., St-Germain, M., Piché, D., Gauvin, J.-F., Gagnon, M., & Hurtut, T. (2020, April). MusX: Online exploring and visualizing graph-based musical adaptations [Paper]. 36th IEEE International Conference on Data Engineering (ICDE 2020), Dallas, TX. External link
Piché, D., Font, L., Zouaq, A., & Gagnon, M. (2023). Comparing Heuristic Rules and Masked Language Models for Entity Alignment in the Literature Domain. Journal on Computing and Cultural Heritage, 16(3), 18 pages. External link
Piché, D. (2022). Génération de base de connaissance à partir de données hétérogènes dans le monde culturel [Master's thesis, Polytechnique Montréal]. Available
Piché, D., Zouaq, A., Gagnon, M., & Font, L. (2021, September). Masked language model entity matching for cultural heritage data [Paper]. International Joint Workshop on Semantic Web and Ontology Design for Cultural Heritage (SWODCH 2021) (12 pages). External link
