semantics and ontologies for smart cities liliana ibeth barbosa santillan
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1
Semantics and Ontologies
for smart citiesLiliana Ibeth Barbosa Santillán
Universidad de Guadalajara CUCEA DTI
UDG-IBM Smart Cities Deep Dive Workshop
September 15th 2011
UDG Guadalajara, Mexico
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Outline
• OntoDeviceTrust
–The problem
– Five important questions
–Background
–OntoDeviceTrust
• OntoVehiclesTheft
–Motivation
–Technological objectives
ONTODEVICETRUST
A representation model of Trust between the users of mobile Devices and the producers of applications based on Ontologies
The problemThe number of users of mobile devices has increased enormously over the past five years. Along with this, the public concern about how to make sure personal information remains private and safe has also grown, and it has become a
high priority standard for mobile device producers to fulfill.
The authors identify the need to structure the knowledge involved during the process of mobile devices safety development as a crucial step to guarantee trust between users and producers.
Five important questions How safe it is to have personal data on such vulnerables
mobile devices?
How many external agents will know this data and how the users be sure that agents will protect it and not use it against themselves?
How successful will the use of multimedia, games, e-mail, faxes, teleservices, word processors, applications ..., etc. between businesses and users without a mechanism that ensures personal information to remain safe and private?
… Five important questions
Would the world be able to adapt to the use of pervasive computing without such a mechanism?
How to protect users from fraud?
Definition
• OntoDeviceTrust is composed of twelve ontologies focused on two dimensions: 1) producer applications and 2) consumer applications.
Producer applications include enterprises, governmental and educational sectors involved in building applications for mobile devices.
On the other hand, consumer applications are considered to be all the people who use one or more applications from the producers
ONTODEVICETRUST
Evaluating the ONTODEVICETRUST content
● What is the name of the producer application?
● Where is the certificate of the producer application?
● Are the certificates of the producer application safe?
● What kind of mobile device was the consumer application using?
●Is there a way to detect if a source code of the producer application is the same than the consumer application?
Conclusions• The aim for this model is to achieve integration and semantic
reconciliation to allow the involved ontologies to exchange knowledge and classify it accordingly.
• This model entails an architecture that relies on a local ontology for each involved scenario. Moreover, it has also been described the resultant OntoDeviceTrust Ontolgy which to act as a common ”language” in the form of a set of controlled vocabularies to describe the details of safety feature on mobiles devices.
• An important conclusion from this work is that safety features can be reused since it is clear that such a reuse can save time during the development of the whole system.
Technological objectives
– Develop an application that provides user-centered Autotheft-trends information and services for citizens.
– Create an domain-independent set of ontologies to support user-centered and auto theft information.
– Set up and support at least one user pilots with a set of algorithms for transferring data and ensuring the reliability of data transfers in social environments, and their implementation.
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Semantics and Ontologies
for smart citiesLiliana Ibeth Barbosa Santillán
Universidad de Guadalajara CUCEA DTI
UDG-IBM Smart Cities Deep Dive Workshop
September 15th 2011
UDG Guadalajara, Mexico