Lionel Médini

LIRIS Lab. / University of Lyon

Lyon, France

1. Project overview
2. Notion of avatar
3. Semantic aspects
4. Prototype & demo
5. Conclusion

• ASAWoO: Adaptive Supervision of Avatar/object links for the Web of Objects
• Funded by the French National Research Agency
• 2014-2017
• 3 research labs
• 1 company

http://liris.cnrs.fr/asawoo/

• Web
  • App design
  • Semantic
  • Services
• Multi-Agent Systems
• Ad hoc networks
• Robotics

• From thing capabilities to understandable functionalities
• Break through silos and enable thing collaboration
• Deploy and run WoT apps
• Use cases: smart home, smart factory…

• Logical side of a cyber-physical artefact
• Represents a thing on the Web
• Extends its capabilities by exposing functionalities

• Communicates with its thing (if and when possible)
• Distributed (on the thing, gateway and cloud)
• Autonomous (MAS approach)
• Semantics-aware (embeds its own reasoner)
• Adaptive (to different kinds of “adaptation questions”)

• Sensors: SSN, SensorML
• Actuators/robots: SRDF
• Services/resources: Hydra; Schema.org/Action
• WoT: http://thingschema.org/

• Capability
  • The thing API
  • Vendor-dependant
  • Protocol-dependant
• Functionality
  • High-level vision
  • Exposed as a RESTful resource
  • can be
    • Atomic: implementedBy a Capability
    • Composed: composedOf other functionalities

At initialization time:

At update time:

3 interrelated prototypes:

1. Interoperability Platform
   1. handles device connections
   2. provides capability descriptions
2. ASAWoO Platform
   1. manages semantic repositories
   2. controls avatar lifecycle
3. Avatar
   1. discovers local functionalities
   2. collaborates to build multi-object functionalities

…Plus the HyLAR JS reasoner

• implementation:
  • Language: JS
  • Server: Node.JS
  • All data exchanges over HTTP
  • Semantic descriptions
    • JSON-LD
    • Hydra

• Semantic functionality generation and invocation
• Other parts of the project currently being designed/implemented
  • Code module location
  • Multi-purpose adaptation
  • Goal-driven negotiation
  • Disruption-tolerant communication

• Link with other vocabularies
• Language-agnostic reasoning and applicative code
• Materialize avatar communities

To the students who contributed to this prototype:

• Mehdi Terdjimi
• Jordan Martin
• Aman Tran
• Raul Leaño Martinet

This work is supported by the French ANR (Agence Nationale de la Recherche), with grant number <ANR-13-INFR-012>.

…Thank you for your attention.

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