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A Context Ontology for Service
Provisioning and Consumption
Authors
M.C.C. Oscar Jair Cabrera Bejar
Dr. Xavier Franch
Dr. Jordi Marco
Research Challenges in Information Science (RCIS)
May 28-30 2014, Marrakesh, Morocco
2
Outline
 Overview
 Paper contribution
 Ontology development process
• Specification
• Knowledge acquisition
• Conceptualization
 Use case scenario
 Conclusions & future work
RCIS2014
3
Overview
Services
Companies
Customers
Economic impact
Mean to deliver value
Malfunctions
Economic losses,
consumers’ dissatisfaction,
shorten the service life
cycle, …
Context
To avoid
K. Anind
“Context is any information that can be used to characterise the situation of an entity”
Service-centric perspective
RCIS2014
Seen from
Service provisioning and consumption
“An entity is a person, place, or object that is considered relevant to the interaction
between a user and an application, including the user and applications themselves”
4
Outline
 Overview
 Paper contribution
 Ontology development process
• Specification
• Knowledge acquisition
• Conceptualization
 Use case scenario
 Conclusions & future work
RCIS2014
5
Paper contribution
Time
Location
Activity
Individuality
RCIS2014
Time
...
Service
…
Object
User
Place
Produce
Context
Information
Service provisioning & consumption
Entities
Ontology
Paper contribution
State of
the art Consolidate
context
information
6
Outline
 Overview
 Paper contribution
 Ontology development process
• Specification
• Knowledge acquisition
• Conceptualization
 Use case scenario
 Conclusions & future work
RCIS2014
7
Documentation
Ontology development process
RCIS2014
Methontology
Specification Knowledge acquisition Conceptualization
Integration Implementation Evaluation
Evolving
prototype
Domain
Scope
Purpose
Sources of
knowledge
State of the
art
Conceptual
model
Conceptualize
the acquired
knowledge
Integrate
definitions
Reusing
Ontology
codified
Avoiding
wrong
definitions
8
Outline
 Overview
 Paper contribution
 Ontology development process
• Specification
• Knowledge acquisition
• Conceptualization
 Use case scenario
 Conclusions & future work
RCIS2014
9
Specification
RCIS2014
Domain
Context information causing either positive or negative effects on entities involved in service
provisioning and consumption.
Scope
Delimited by relevant
entities surrounding
the domain specified.
Purpose Providing structured context knowledge from a service-centric perspective.
Specification overview
10
Outline
 Overview
 Paper contribution
 Ontology development process
• Specification
• Knowledge acquisition
• Conceptualization
 Use case scenario
 Conclusions & future work
RCIS2014
11
Knowledge acquisition
RCIS2014
5
43 2 2 2
2
1
1
1
1
1 1
1
1
1
1
1
1
0
1
2
3
4
5
6
0 1 2 3 4 5 6 7 8 9
Size5
Size4
Size3
Size2
Size1
3-6 7-10 11-14 15-183-6 7-10 11-14 15-18 19-22 23-26 27-30 +30
Nodes
Depth
level
Correlation map between nodes and depth levels Definition completeness
30 Papers were evaluated
Ontology-based
Categorization-based
UML-based
12
Knowledge acquisition
RCIS2014
Category Context grouped Category Context grouped
Environment Physical
environment, User
environment,
Environmental
parameters,
Environmental,
Pollution
Preferences Individual
dimension,
Individuality,
Personal, Interest-
topic, interest,
Thing, Cognitive
pattern
Location Space, Place,
Spatial, Living
conditions, Physical,
Indoor, Outdoor
Time Timestamp,
Physical, temporal,
sporadic, periodic
Infrastructure Technical,
Technological,
Energy, Functional,
Non-functional,
Quality of service,
QoWS
Activity Attention, State,
Goals, Tasks,
Object, Schedule,
User history,
Action, Agenda
User action,
Event
Human
Factors
Relations, Medical
Social dimension,
Relationship, Agent,
Community, contact,
Peers, Auxiliary,
Role Division of
Labour,
Holder,
User role
Policy Rules,
Legal entity
Entity User, Person,
Service, Provider,
third-party services
Profiles Information, characteristics, ability, education, profession,
expertise. Domain, Subscription information, identity
Resource Interaction means, Resource management, Resource
specification, Informational, Tools, Service, Economic,
Device, Platform, Network, Application, System, Computing,
13
Outline
 Overview
 Paper contribution
 Ontology development process
• Specification
• Knowledge acquisition
• Conceptualization
 Use case scenario
 Conclusions & future work
RCIS2014
14
Conceptualization
RCIS2014
15
Outline
 Overview
 Paper contribution
 Ontology development process
• Specification
• Knowledge acquisition
• Conceptualization
 Use case scenario
 Conclusions & future work
RCIS2014
16
Use case scenario
RCIS2014
17
Outline
 Overview
 Paper contribution
 Ontology development process
• Specification
• Knowledge acquisition
• Conceptualization
 Use case scenario
 Conclusions & future work
RCIS2014
18
Conclusions & future work
RCIS2014
 Presented the state of the art of context model proposals for software
services providing an overview on the field;
 Made available a unified and consolidated upper ontology-based context
information;
 To extend the state of the art addressed in this work in a form of
systematic mapping considering an extended panoramic view of context
model proposals;
 To provide different resources from an ontological point of view, such as
the instantiation method, inference, reasoning and implementation, etc.;
Thanks for your attention
Comments and Questions
Xavier Franch, franch@essi.upc.edu
Oscar Cabrera, ocabrera@essi.upc.edu
Jordi Marco, jmarco@lsi.upc.edu

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A Context Ontology for Service Provisioning and Consumption

  • 1. A Context Ontology for Service Provisioning and Consumption Authors M.C.C. Oscar Jair Cabrera Bejar Dr. Xavier Franch Dr. Jordi Marco Research Challenges in Information Science (RCIS) May 28-30 2014, Marrakesh, Morocco
  • 2. 2 Outline  Overview  Paper contribution  Ontology development process • Specification • Knowledge acquisition • Conceptualization  Use case scenario  Conclusions & future work RCIS2014
  • 3. 3 Overview Services Companies Customers Economic impact Mean to deliver value Malfunctions Economic losses, consumers’ dissatisfaction, shorten the service life cycle, … Context To avoid K. Anind “Context is any information that can be used to characterise the situation of an entity” Service-centric perspective RCIS2014 Seen from Service provisioning and consumption “An entity is a person, place, or object that is considered relevant to the interaction between a user and an application, including the user and applications themselves”
  • 4. 4 Outline  Overview  Paper contribution  Ontology development process • Specification • Knowledge acquisition • Conceptualization  Use case scenario  Conclusions & future work RCIS2014
  • 6. 6 Outline  Overview  Paper contribution  Ontology development process • Specification • Knowledge acquisition • Conceptualization  Use case scenario  Conclusions & future work RCIS2014
  • 7. 7 Documentation Ontology development process RCIS2014 Methontology Specification Knowledge acquisition Conceptualization Integration Implementation Evaluation Evolving prototype Domain Scope Purpose Sources of knowledge State of the art Conceptual model Conceptualize the acquired knowledge Integrate definitions Reusing Ontology codified Avoiding wrong definitions
  • 8. 8 Outline  Overview  Paper contribution  Ontology development process • Specification • Knowledge acquisition • Conceptualization  Use case scenario  Conclusions & future work RCIS2014
  • 9. 9 Specification RCIS2014 Domain Context information causing either positive or negative effects on entities involved in service provisioning and consumption. Scope Delimited by relevant entities surrounding the domain specified. Purpose Providing structured context knowledge from a service-centric perspective. Specification overview
  • 10. 10 Outline  Overview  Paper contribution  Ontology development process • Specification • Knowledge acquisition • Conceptualization  Use case scenario  Conclusions & future work RCIS2014
  • 11. 11 Knowledge acquisition RCIS2014 5 43 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 0 1 2 3 4 5 6 0 1 2 3 4 5 6 7 8 9 Size5 Size4 Size3 Size2 Size1 3-6 7-10 11-14 15-183-6 7-10 11-14 15-18 19-22 23-26 27-30 +30 Nodes Depth level Correlation map between nodes and depth levels Definition completeness 30 Papers were evaluated Ontology-based Categorization-based UML-based
  • 12. 12 Knowledge acquisition RCIS2014 Category Context grouped Category Context grouped Environment Physical environment, User environment, Environmental parameters, Environmental, Pollution Preferences Individual dimension, Individuality, Personal, Interest- topic, interest, Thing, Cognitive pattern Location Space, Place, Spatial, Living conditions, Physical, Indoor, Outdoor Time Timestamp, Physical, temporal, sporadic, periodic Infrastructure Technical, Technological, Energy, Functional, Non-functional, Quality of service, QoWS Activity Attention, State, Goals, Tasks, Object, Schedule, User history, Action, Agenda User action, Event Human Factors Relations, Medical Social dimension, Relationship, Agent, Community, contact, Peers, Auxiliary, Role Division of Labour, Holder, User role Policy Rules, Legal entity Entity User, Person, Service, Provider, third-party services Profiles Information, characteristics, ability, education, profession, expertise. Domain, Subscription information, identity Resource Interaction means, Resource management, Resource specification, Informational, Tools, Service, Economic, Device, Platform, Network, Application, System, Computing,
  • 13. 13 Outline  Overview  Paper contribution  Ontology development process • Specification • Knowledge acquisition • Conceptualization  Use case scenario  Conclusions & future work RCIS2014
  • 15. 15 Outline  Overview  Paper contribution  Ontology development process • Specification • Knowledge acquisition • Conceptualization  Use case scenario  Conclusions & future work RCIS2014
  • 17. 17 Outline  Overview  Paper contribution  Ontology development process • Specification • Knowledge acquisition • Conceptualization  Use case scenario  Conclusions & future work RCIS2014
  • 18. 18 Conclusions & future work RCIS2014  Presented the state of the art of context model proposals for software services providing an overview on the field;  Made available a unified and consolidated upper ontology-based context information;  To extend the state of the art addressed in this work in a form of systematic mapping considering an extended panoramic view of context model proposals;  To provide different resources from an ontological point of view, such as the instantiation method, inference, reasoning and implementation, etc.;
  • 19. Thanks for your attention Comments and Questions Xavier Franch, franch@essi.upc.edu Oscar Cabrera, ocabrera@essi.upc.edu Jordi Marco, jmarco@lsi.upc.edu