1. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Distributed Semantic Middleware for Social
Robotic Services
Eduardo Castillejo1 , Pablo Ordu˜a1 , Xabier Laiseca1 , Aitor
n
G´mez-Goiri
o 1 , Diego L´pez-de-Ipi˜a1 and Sergio F´
o n ınez2
1 DeustoTech - Deusto Institute of Technology, University of Deusto
http://www.morelab.deusto.es
2 Treelogic http://www.treelogic.com
1 de diciembre de 2011
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2. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Index
1 Introduction
Distributed Systems
Semantic Web
2 Triple Spaces
Middleware
3 Scenarios
Supermarket
Hospital
4 Conclusions
5 Acknowledgments
6 References
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3. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Contents
1 Introduction
Distributed Systems
Semantic Web
2 Triple Spaces
Middleware
3 Scenarios
Supermarket
Hospital
4 Conclusions
5 Acknowledgments
6 References
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4. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Distributed Systems
Pros & Cons.
Pros
Concurrency
Scalability
Workload distribution
Etc.
Cons
Data flow management
Storage decissions
Nodes crashing recovery
Dynamic response to nodes
additions and crashes
Etc.
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5. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Semantic Web
The Semantic Web in short I
The vision of the Semantic Web is to extend principles of the Web
from documents to data. Data should be accessed using the
general Web architecture using, e.g., URI-s; data should be
related to one another just as documents (or portions of
documents) are already. This also means creation of a common
framework that allows data to be shared and reused across
application, enterprise, and community boundaries, to be
processed automatically by tools as well as manually, including
revealing possible new relationships among pieces of data.
http://www.w3.org/RDF/FAQ
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6. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Semantic Web
The Semantic Web in short II
The Semantic Web is about two things. It is about common
formats for integration and combination of data drawn from
diverse sources, where on the original Web mainly concentrated
on the interchange of documents. It is also about language for
recording how the data relates to real world objects. That
allows a person, or a machine, to start off in one database, and
then move through an unending set of databases which are
connected not by wires but by being about the same thing.
http://www.w3.org/2001/sw/
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7. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Semantic Web
Why?
The Semantic Web aims to offer machine-understandable
persisten data for embracing the machine-centered approach.
Ok, then...
Knowledge representation!
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8. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Semantic Web
How?
On the Semantic Web, vocabularies
define the concepts and relationships
(also referred to as “terms”) used to
describe and represent an area of
concern. Vocabularies are used to
classify the terms that can be used in a
particular application, characterize
possible relationships, and define
possible constraints on using those
terms. In practice, vocabularies can be
very complex (with several thousands of
terms) or very simple (describing one or
two concepts only).
http://www.w3.org/standards/semanticweb/ontology
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9. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Contents
1 Introduction
Distributed Systems
Semantic Web
2 Triple Spaces
Middleware
3 Scenarios
Supermarket
Hospital
4 Conclusions
5 Acknowledgments
6 References
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10. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Middleware
Triple Spaces basics
TS computing is a coordination paradigm on which nodes can
share information in a decoupled way. It is a distributed shared
semantic space between nodes which join it.
How does it work?
RDF Triples “instead of” tuples
Storage data structure: RDF graphs
Primitives: write, read, take and query
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11. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Middleware
Otsopack
Our TS solution is called otsopack
(http://code.google.com/p/otsopack/)
It has been used for several scenarios:
A supermarket scenario
A hospital scenario
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12. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Middleware
Why otsopack?
Different actors concurrently communicating with each other
and sharing information.
The amount of required network dependent information (e.g.
IP addresses) should be maintained as low as possible.
The management of the mutability of the nodes.
The need of accessing information using network-independent
addresses.
Information flow needs to be asynchronous.
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13. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Middleware
Benefits
Time autonomy.
Reference autonomy.
Focused on Semantic Web technologies.
Some benefits from Tuple Space:
Location and space autonomy.
Reference autonomy.
Time autonomy.
TS gathers both techniques, Tuple Spaces and the Semantic Web,
contributing with data schema autonomy, following the RDF
specification making it independent of nodes internal data schema.
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14. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Contents
1 Introduction
Distributed Systems
Semantic Web
2 Triple Spaces
Middleware
3 Scenarios
Supermarket
Hospital
4 Conclusions
5 Acknowledgments
6 References
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15. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Supermarket
Scenario A: Supermarket
Scenario main purpose: to increase user experience and to
ease their interactions while shopping, thanks to TICO.
Developed use cases using the otsopack middleware
Guiding robot use case: TICO + an Android app. + otsopack
Marketing robot use case: TICO + supermarket servers +
otsopack
View some pictures
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16. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Hospital
Scenario B: Hospital
Scenario main goals:
To facilitate the tracking of patients’ memory progressions
To allow caregivers and relatives to participate in the treatment
To ease the use of non-pharmacological treatments on patients
with cognitive impairments
View some pictures
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17. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Contents
1 Introduction
Distributed Systems
Semantic Web
2 Triple Spaces
Middleware
3 Scenarios
Supermarket
Hospital
4 Conclusions
5 Acknowledgments
6 References
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18. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Conclusions & Future work
Back to the benefits of using TS
TS benefits every scenario on which semantics and a
distributed architecture is needed
Transparent integration for all components
TS provides is a decoupled and easily extensible platform for
sharing information between nodes
Keep improving otsopack!
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19. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Contents
1 Introduction
Distributed Systems
Semantic Web
2 Triple Spaces
Middleware
3 Scenarios
Supermarket
Hospital
4 Conclusions
5 Acknowledgments
6 References
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20. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Acknowledgments
This work has been supported by project grant
TSI-020301-2009-27 (ACROSS), funded by the Spanish Ministerio
de Industria, Turismo y Comercio.
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21. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Contents
1 Introduction
Distributed Systems
Semantic Web
2 Triple Spaces
Middleware
3 Scenarios
Supermarket
Hospital
4 Conclusions
5 Acknowledgments
6 References
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22. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
References
Castillejo, E. and Ordu˜a, P. and Laiseca, X. and G´mez-Goiri,
n o
A. and L´pez-de-Ipi˜a, D. and F´
o n ınez, S.
Distributed Semantic Middleware for Social Robotic Services
Fensel, D.
Triple Space computing: Semantic web services based on
persistent publication of information
In: Intelligence in Communication Systems, pp. 43-53. Springer
Berlin / Heidelberg (2004)
Nixon, L.J.B. and Simpler, E. and Krummenacher, R. and
Martin-Recuerda, F.
Tuplespace-based computing for the semantic web: A survey of
the state-of-the-art.
In: The Knowledge Engineering Review. Vol. 23, Num. 2, pp.
181-212. Cambridge Univ Press (2008)
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23. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
More bibliography
Web Ontology Language. Mike Dean et al.
http://www.w3c.org/2004/OWL/
Pellet: the OWL2 reasoner for Java.
http://www.clarkparsia.com/pellet/
Common Object Request Broker Architecture.
http://www.corba.org/
Resource Description Framework.
http://www.w3c.org/RDF/
Intelligent Semantic Middleware for Embedded Devices.
http://www.tecnologico.deusto.es/projects/ismed/
JXTA P2P middleware
https://jxta.dev.java.net/
Worl Wide Consortium. W3c semantic web faq, August 2011
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24. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Morelab at Twitter
Follow us in Twitter!
@morelab ud @DeustoTech
http://www.morelab.deusto.es
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25. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Scenario A: Supermarket
Back
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26. Introduction Triple Spaces Scenarios Conclusions Acknowledgments References
Scenario B: Hospital
Back
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