Options
Interacting with Linked Data: A Survey from the SIGCHI Perspective
Date de parution
2020-4-27
Résumé
The Semantic Web can be defined as an extension of the current Web, in which data is given well-defined meaning, better-enabling computers and people to work together. Linked Data (LD) has been envisioned as an essential element for the Semantic Web, listing a set of best practices for publishing and connecting structured data on the Web. Enabling humans to interact with this data is a crucial and challenging step to bring the Semantic Web forward. In order to better understand how the Human-Computer Interaction community has contributed to this effort, this late-breaking work presents a review focusing on the ACM Special Interest Group on Computer-Human Interaction (SIGCHI) venues. Our findings show that despite LD being a topic of interest to a variety of stakeholders, there are missing possibilities for end-users to query, browse and visualize LD, underlying the need for further investigations.
Notes
, 2020
Nom de l'événement
ACM CHI Conference on Human Factors in Computing Systems
Lieu
Honolulu, Hawai'i, USA
Identifiants
Type de publication
conference paper
