Repository logo
Research Outputs
Projects
People
Statistics
  1. Home
  2. HSG CRIS
  3. HSG Publications
  4. Exploiting Interaction Affordances: On Engineering
    Autonomous Systems for the Web of Things
Details

Exploiting Interaction Affordances: On Engineering Autonomous Systems for the Web of Things

Type
book section
Date Issued
2019-06-03
Author(s)
Ciortea, Andrei  
;
Mayer, Simon  
;
Boissier, Olivier
;
Gandon, Fabien
Abstract
Interaction Affordances are central to the W3C Web of Things (WoT): they allow Consumers to identify and use the capabilities provided by Web Things. Ideally, interaction affordances would allow consumers to arrive-and-operate in any W3C WoT environment: given an entry URI, consumers would be able to achieve their tasks in an autonomous manner by navigating the hypermedia and deciding among the various options presented to them at run time. A central challenge then, which is not typically within the scope of Web engineering, is how to design, program, debug, monitor, and regulate such autonomous consumers of Web Things. The engineering of similar autonomous systems has been studied to a large extent in research on multi-agent systems (MAS), and we believe that tapping into the large body of MAS research holds great promise for unlocking the full potential of the W3C WoT. In this position paper, we motivate and present our vision for autonomous systems in the WoT, and support this vision with a prototype for industrial manufacturing. We then discuss some of the challenges and opportunities raised by bringing autonomy to the WoT.
Language
English
HSG Classification
contribution to scientific community
Book title
Proceedings of the Second W3C Workshop on the Web of Things
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/98582
Subject(s)

computer science

Division(s)

ICS - Institute of Co...

Eprints ID
257262
File(s)
Thumbnail Image

open.access

Name

_W3C_WoT_Workshop__Exploiting_Interaction_Affordances__On_Engineering_Autonomous_Systems_for_the_Web_of_Things (1).pdf

Size

759.19 KB

Format

Adobe PDF

Checksum (MD5)

cbb99fe4639be55c89a531d422f5ecdb

Support
HSG researchers can find instructions here for adding or importing publications (DOI, ORCID). Please send questions to alexandria@unisg.ch

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify