Interacting with Linked Data: A Survey from the SIGCHI Perspective
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
