Repository logo
Research Data
Publications
Projects
Persons
Organizations
English
Français
Log In(current)
  1. Home
  2. Publications
  3. Contribution à un congrès (conference paper)
  4. Interacting with Linked Data: A Survey from the SIGCHI Perspective

Interacting with Linked Data: A Survey from the SIGCHI Perspective

Author(s)
De Santo, Alessio  
Institut du management de l'information  
Holzer, Adrian  
Chaire de management des systèmes d'information  
Date issued
April 27, 2020
Subjects
Linked Data Linked Open Data LOD CHI ComputerHuman Interaction Literature Review
Abstract
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
Event name
ACM CHI Conference on Human Factors in Computing Systems
Location
Honolulu, Hawai'i, USA
Publication type
conference paper
Identifiers
https://libra.unine.ch/handle/20.500.14713/20483
Université de Neuchâtel logo

Service information scientifique & bibliothèques

Rue Emile-Argand 11

2000 Neuchâtel

contact.libra@unine.ch

Service informatique et télématique

Rue Emile-Argand 11

Bâtiment B, rez-de-chaussée

Powered by DSpace-CRIS

libra v2.1.0

© 2026 Université de Neuchâtel

Portal overviewUser guideOpen Access strategyOpen Access directive Research at UniNE Open Access ORCIDWhat's new