Iswc2008

689 views

Published on

Home automation has recently gained a new momentum
thanks to the ever-increasing commercial availability of domotic components.
In this context, researchers are working to provide interoperation
mechanisms and to add intelligence on top of them. For supporting
intelligent behaviors, house modeling is an essential requirement to understand
current and future house states and to possibly drive more
complex actions. In this paper we propose a new house modeling ontology
designed to fit real world domotic system capabilities and to
support interoperation between currently available and future solutions.
Taking advantage of technologies developed in the context of the Semantic
Web, the DogOnt ontology supports device/network independent
description of houses, including both “controllable” and architectural elements.
States and functionalities are automatically associated to the
modeled elements through proper inheritance mechanisms and by means
of properly defined SWRL auto-completion rules which ease the modeling
process, while automatic device recognition is achieved through
classification reasoning.

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
689
On SlideShare
0
From Embeds
0
Number of Embeds
4
Actions
Shares
0
Downloads
11
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Iswc2008

  1. 1. DogOnt - Ontology Modeling for Intelligent Domotic Environments Dario Bonino, Fulvio Corno Politecnico di Torino Dipartimento di Automatica ed Informatica Torino - Italy October 28, 2008
  2. 2. Outline 1 Introduction 2 Objectives 3 Intelligent Domotic Environments 4 DogOnt 5 DogOnt - applications 6 Conclusions
  3. 3. DOMOTICS DOMus infOrmaTICS: Information technology in the home (domus is Latin for home). Remote lighting and appliance control have been used for years (see X10), Nowadays domotics is another term for the digital home, including: the networks and devices that add comfort and convenience as well as security; Controlling heating, air conditioning, food preparation, TVs, stereos, lights, appliances, entrance gates and security system all fall under the domotics umbrella.
  4. 4. Domotic Systems - drawbacks (1/2) Many vendors on the market, each with separate, not compatible, solutions Different technologies (bus, powerline, wireless) Different protocols (KNX, MyOpen, X10, LonWorks) Different device features Different sophistication of device firmware (from simple relay to full software-based operation)
  5. 5. Domotic Systems - drawbacks (2/2) Nowadays Domotic Systems are rooted on simple electric automation Only simple automation is supported Simple scenarios Fixed, programmed behaviors Simple comfort, security and energy saving policies No support for more complex interactions Adaptation to user preferences Context detection Structural verification Static and dynamic reasoning on the house state
  6. 6. Starting considerations The sparseness of domotics solutions, the differences in languages, communication means and protocols is very similar to the “old web” Semantic Web technologies can help solving Interoperation issues Integration of different technologies and can support home intelligence through Reasoning Context Modeling ...
  7. 7. Outline 1 Introduction 2 Objectives 3 Intelligent Domotic Environments 4 DogOnt 5 DogOnt - applications 6 Conclusions
  8. 8. Objectives Evolving Domotic Systems into Intelligent Domotic Environments (IDEs) supporting Interoperation, Integration and Intelligence. By Adding a single (cheap) device for interoperating different domotic plants implementing complex behaviors Modeling environments in a semantic-rich, technology independent way Providing suitable querying and reasoning mechanism over the environment model
  9. 9. Outline 1 Introduction 2 Objectives 3 Intelligent Domotic Environments 4 DogOnt 5 DogOnt - applications 6 Conclusions
  10. 10. Anatomy of an IDE
  11. 11. DOG DOG is a Domotic House Gateway [ICTAI2008] designed for transforming commercial Domotic Systems into Intelligent Domotic Environments. It provides Interoperation between different domotic networks through proper drivers; technology independent, ontology-based, house and device modeling advanced, inter-network, rule-based scenario definition and operation reasoning on the house model DogOnt is the ontology model lying at the bases of DOG
  12. 12. Outline 1 Introduction 2 Objectives 3 Intelligent Domotic Environments 4 DogOnt 5 DogOnt - applications 6 Conclusions
  13. 13. DogOnt DogOnt is an ontology model designed for supporting Interoperation, Integration and Intelligence in domotic environments Building Thing Building Environment State Functionality Domotic Network Component
  14. 14. Environment Modeling (1/2) BuildingThing Models all the elements of a Building Environment divided into Controllable UnControllable The UnControllable sub-tree allows to model Furniture elements Walls, floors, ceilings and other architectural elements (Architectural sub-tree)
  15. 15. Environment Modeling (2/2) BuildingEnvironment Models rooms and architectural spaces composing a house Rooms External spaces such as garages, garden, etc.
  16. 16. Device Modeling Devices are modeled independently from specific technologies 3 Modeling axes: Typology - describes the type of device, separating appliances and devices belonging to house plants Functionality - describes the tasks that a device can accomplish, by defining the available commands State - describes the conditions in which a device can be (e.g. a Lamp can be ON or OFF) Technology specific aspects are modeled through separate classes NetworkComponent - the root concept for modeling every network specific information, its sub-classes reflect the different networks supported by DOG.
  17. 17. Typology Controllable devices taxonomy Appliances Brown Goods (TV, HiFi,...) White Goods (Fridge, Dishwasher,...) HousePlants Electric HVAC (Heating Ventilation & Air Conditioning) Security
  18. 18. Functionalities (1/3) Control Functionalities Model the ability of a device to be controlled Define the possible commands and their range (needed for continuous functionalities) Almost every Controllable has a control functionality Notification Functionalities Model the ability of a device to issue a notification about state/configuration changes Define the possible notifications Typical of Sensors and Buttons/Switches Query Functionalities Model the ability of a device to be queried about its state/configuration It’s defined for all Controllables
  19. 19. Functionalities (2/3) Every Functionality class is subdivided into Continuous Functionalities Model the ability to change device properties in a continuous manner (e.g. dimming the light emitted by a lamp) Discrete Functionalities Model the ability to abruptly change device properties (e.g. switching a lamp On)
  20. 20. Functionalities (3/3)
  21. 21. States (1/2) States are classified according to the kind of values they can assume Continuous states Model continuously changing qualities (e.g. the current dimming level of a lamp) The current state value is stored in the continuousValue property. Discrete states Model discretely changing qualities (e.g. the lamp being On or Off) The current state value is stored in the discreteValue property. Possible states are listed in the possibleStates property.
  22. 22. States (2/2)
  23. 23. DimmerLamp modeling example
  24. 24. Outline 1 Introduction 2 Objectives 3 Intelligent Domotic Environments 4 DogOnt 5 DogOnt - applications 6 Conclusions
  25. 25. DogOnt applications in IDEs (1/2) DogOnt supports several critical features of IDEs Device Modeling Allows to define a central point of configuration for real devices Abstracts from network-specific issues, exposing systems and objects as a uniform set of devices, states and functionalities Enables syntactic and semantic check of commands received from external applications/devices
  26. 26. DogOnt applications in IDEs (2/2) Device Modeling (continued...) Transitive closure and Classification Reasoning allow to decouple evolution of the model and domotic systems developments Supports the definition of top-down inter-plant scenarios (e.g. scenarios activated by external applications which involve devices in more than one plant) Provides the basis for interoperation between plants (e.g. allowing a BTicino button to control a KNX light) Frequent issue in Hospitals, Universities, Factories On-going work on automatic generation of interoperation rules from DogOnt (DogOnt v2.0)
  27. 27. Example application - DOG http://domoticdog.sourceforge.net
  28. 28. Outline 1 Introduction 2 Objectives 3 Intelligent Domotic Environments 4 DogOnt 5 DogOnt - applications 6 Conclusions
  29. 29. Conclusions We defined DogOnt: an ontology for describing domotic environments with a particular focus on objects, states and functionalities DogOnt is currently used by the DOG home gateway, allowing to control several, different, domotic plants, at the same time Standard reasoning methods allow to decouple the evolution of DogOnt and of the modeled environments DogOnt can be used as a basis on which building more complex/intelligent behaviors for commercial domotic systems
  30. 30. On-going work We are currently working on: Structural verification of domotic environments through the evaluation of SWRL constraints on DogOnt model instances Dynamic detection/prediction of safety critical situations (smoke propagation, safe exit detection in case of fire) using rule-based reasoning and DogOnt
  31. 31. Questions? Thank you! Any Question? Dario Bonino dario.bonino@polito.it

×