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Semantic and Interactive Search in an Advanced Note-Taking App for Learning Material
ATASHPENDAR, Aryobarzan; GREVISSE, Christian; BOTEV, Jean et al.
2022In Proceedings of the 24th International Conference on Human-Computer Interaction (HCI International)
Peer reviewed
 

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Mots-clés :
Learning material; Semantic search; Question-answering; Note similarity; Interactive search
Résumé :
[en] Note-taking apps on tablets are increasingly becoming the go-to space for managing learning material as a student. In particular, digital note-taking presents certain advantages over traditional pen-and-paper approaches when it comes to organizing and retrieving a library of notes thanks to various search functionalities. This paper presents improvements to the classic textual-input-based search field, by introducing a semantic search that considers the meaning of a user’s search terms and an automatic question-answering process that extracts the answer to the user’s question from their notes for more efficient information retrieval. Additionally, visual methods for finding specific notes are proposed, which do not require the input of text by the user: through the integration of a semantic similarity metric, notes similar to a selected document can be displayed based on common topics. Furthermore, a fully interactive process allows one to search for notes by selecting different types of dynamically generated filters, thus eliminating the need for textual input. Finally, a graph-based visualization is explored for the search results, which clusters semantically similar notes closer together to relay additional information to the user besides the raw search results.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
ATASHPENDAR, Aryobarzan  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
GREVISSE, Christian  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM)
BOTEV, Jean  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
ROTHKUGEL, Steffen ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
Semantic and Interactive Search in an Advanced Note-Taking App for Learning Material
Date de publication/diffusion :
juin 2022
Nom de la manifestation :
9th International Conference On Learning And Collaboration Technologies (LCT)
Date de la manifestation :
from 26-06-2022 to 01-07-2022
Titre de l'ouvrage principal :
Proceedings of the 24th International Conference on Human-Computer Interaction (HCI International)
Maison d'édition :
Springer
Peer reviewed :
Peer reviewed
Disponible sur ORBilu :
depuis le 22 juin 2022

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