Title | ||
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Hypermedia-driven Socio-technical Networks for Goal-driven Discovery in the Web of Things. |
Abstract | ||
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To cope with dynamic environments, Internet of Things (IoT) applications are expected to autonomously discover and interact with services at runtime in pursuit of design or user-specified goals. On the one hand, various paradigms and technologies are available to program goal-driven autonomous software agents, and on the other hand hypermedia-driven environments are central to the development of robust machine-to-machine applications. However, existing approaches for the development of hypermedia-driven environments fall short of meeting the needs of autonomous agents: they either severely restrict the agents' autonomy, or their topological structure is either fragmented or inefficient to navigate at scale. In this paper, we explore the use of socio-technical networks, that is networks of people and things interrelated in a meaningful manner via typed relations, as an overlay for enhancing hypermedia-driven interaction in IoT environments. We present a proof of concept and discuss several classes of applications in which this model could prove useful. |
Year | DOI | Venue |
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2016 | 10.1145/3017995.3018001 | WoT |
DocType | Citations | PageRank |
Conference | 1 | 0.36 |
References | Authors | |
7 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Andrei Ciortea | 1 | 2 | 4.44 |
Antoine Zimmermann | 2 | 289 | 33.66 |
Olivier Boissier | 3 | 1155 | 111.14 |
Adina Magda Florea | 4 | 132 | 33.33 |