Post on 19-Apr-2015
CEManTIKA FrameworkCEManTIKA FrameworkOverviewOverview
Vaninha Vieiravvs@cin.ufpe.br
Ana Carolina Salgadoacs@cin.ufpe.br
Patricia Tedescopcart@cin.ufpe.br
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O que é CEManTIKA
Framework para apoiar o Projeto de Sistemas Sensíveis ao Contexto
Composto por 4 elementos principais:Arquitetura Genérica (Gerenciamento de Contexto)
Metamodelo de Contexto
Perfis UML para apoiar a criação de modelos de contexto
Processo de software
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Descrição do Projeto
Elaborar um PROJETO de um CSS Guiado pelo Processo de Contexto
Deadline: 14/10/2008
Criar versão preliminar documentos sugeridos no Processo
Elaborar uma apresentação contendo: Apresentação do sistema e visão geral dos artefatos produzidos
Vantagens/desvantagens em usar os elementos CEManTIKA
Dificuldades encontradas
Sugestões de melhorias
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Context SpecificationContext Specification
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OMG Metamodel Architecture
Standard ComponentsModeling Notation: UMLMetadata Interchange: XMI
MIDDLEWARE
APPLICATION
User Data/ObjectLayer (M0)
Metadata/Model Layer(M1)
Metamodel Layer(M2)
Meta-metamodelLayer (M3)
<Person name=“Mary” age=“35”/>
Person: name, age
UML: Class, AttributeContext Metamodel: ContextualElement, Focus ContextualEntity, Rule
MOF: Class, Attribute, Operation, Association
Context Profile is based onUML 2.0
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Metamodel Profiles
UML ProfileExtensions of UML metamodel for specific areas
Three main elements Stereotypes, Tagged values, Well-formedness rules in OCL
Support CSS design Graphical representation using UML tools
Stereotypes enable the identification of the context-related concepts
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Example – Without Stereotypes
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Example – With Stereotypes
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UML Profile
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Context Specification
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Example – Identify Focus
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Example – Identify Focus
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Context Specification
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Identify Behavior Variations
Behavior without context
1) Users must provide keywords to search an expert;
2) Keywords should be mapped into ontology concepts
3) Subjects of expertise correspond to ontology concepts
4) Recommended experts :: match ontology concepts related to the keywords and the subjects of expertise;
5) Experts classified by their expertise degree
6) Show classified list of experts to the user
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Identify Behavior Variations
Behavior with context
1) Identify CEs associated to the User
2) Use User’s CEs to improve match keywords x ontology;
3) Identify CEs useful to rank Experts;
4) Use Expert’s CEs to improve experts selection and classification
5) Return Experts’ CEs in the generated list
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Context Specification
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Identify Contextual Entities and CEs(Preliminary Model - Without Stereotypes and CEs)
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Identify Contextual Entities and CEs(Context Model - With Stereotypes and new CEs)
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Context Specification
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Verify CEs Relevance
Perform surveys and interviews with potential usersHow they usually execute the tasks in real lifes?
Which CEs they use to make decisions or accomplish tasks?
Evaluate chosen CEs
Evaluate Relevance Weight for each CE which are more relevant, which are less relevant
according to users?
Context ManagementContext Management
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Main Elements in a CSS
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Architecture Context Management
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Specify Context Acquisition
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Design Acquisition Module
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Design Processing Module
JEOPS
Define Contextual Rules
Context UsageContext Usage
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CxG Profile (Contextual Graphs)
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Example: Context Behavior Model
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From Contextual Graphs to Inference Rules
Rule1:Conditions
not (Mission.occursIn==Person.livesIn)
Mission.whoPays=“CAPES”
Actions
CallBehavior(“Contact CAPES Official Agency”)
Rule2:Conditions
not (Mission.occursIn = Person.livesIn)
Mission.whoPays = “missionary”
Person.age < 26
Actions
CallBehavior(“Lookup Transport Types”)
CallBehavior(“Classify by Price”
CallBehavior(“Recommend Transport”)
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ICARE
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Exemplo de Atividade do Processo
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Referencias
http://www.cin.ufpe.br/~vvs/cemantika/docs Cap 4 – Arquitetura
Cap 5 – Metamodelo
Cap 6 – Processo
Cap 7 – Exemplo ICARE
UML Case Tool (sugerida) MagicDraw 15.5 Personal
Meu Email: vvs@cin.ufpe.br
Meu MSN: vaninha_vieira@hotmail.com