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Institut du management de l'information
High performance support for very large knowledge bases
1995, Stoffel, Kilian, Hendler, James, Saltz, Joel
Web-Based Tools for Codification with Medical Ontologies in Switzerland
2006, Kurz, Thorsten, Stoffel, Kilian
The Power of Digital Nudge: Moving Towards Public Transportation and Debunking False Beliefs. A Conceptual Framework: Structured Abstract
2019-7-7, Purohit, Aditya Kumar, Helme-Guizon, Agnes
Despite its importance, the mechanism behind a digital nudge is understudied (Weinmann, Schneider and vom Brocke, 2015). Specifically, this study explores the working mechanism of a digital nudge and to what extent can the feedback nudge be used to reduce carbon footprint by influencing the transit behavior and debunk misinformation on climate change. To influence an individual’s behavior to traverse by public transportation as a daily medium of the commute this study investigates the use of social proof and social norm in digital nudges. This study explores the effectiveness of planning prompt nudge to close the intention and behavior gap. Also, the mediating role of processing fluency is studied as well as the moderating role of online social support and credibility of the source
PPAI--3: Parallel Processing and Artificial Intelligence
1996, Stoffel, Kilian, Hendler, James, Saltz, Joel, Geller, James, Suttner, Christian
Community Building with Co-located Social Media: A Field Experiment with Syrian Refugees
2017-11-16, Xu, Ying, Holzer, Adrian, Maitland, Carleen, Gillet, Denis
Scalable ontology implementation based on knOWLer
2003, Ciorăscu, Iulian, Ciorăscu, Claudia, Stoffel, Kilian
LAD Regression and Nonparametric Methods for Detecting Outliers and Leverage Points
2006, Faria, Susana, Melfi, Giuseppe
A more rational ranking system in Olympic games
2002, Dodge, Yadolah, Melfi, Giuseppe
Interacting with Linked Data: A Survey from the SIGCHI Perspective
2020-4-27, De Santo, Alessio, Holzer, Adrian
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.