Adaptive Personal Information Environment aPIE

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Adaptive Personal Information Environment (a-PIE)

• Thanyalak Maneewatthana,
• Gary Wills, Wendy Hall
• IAM Group, ECS
• University of Southampton, UK

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Outline

• Overview
• Motivation
• Background
• A-PIE
• Data storage
• Searching in a-PIE
• Sharing and enriching the information
• a-PIE architecture
• Ontology
• Simple processes for annotation
• Summary
• Future Work

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a-PIE motivation

• User Engine
• Personalised Web-base Information System
• Personalised search interface and personal
  repository
• Integrate Semantic Web technology with FOHM
• Web services have been designed to wrap
  applications and expose them using an interface
  described in machine-processable format.

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Background

• Open Hypermedia Links are first-class objects.
• Fundamental Open Hypermedia Model (FOHM)
  Essential Components
• Data Objects
• Associations
• References
• Bindings
• Modifier Object
• Context
• Auld Linky Link Server

Binding
Binding
Association
User beginner
User advance
Reference
Reference
data1
data2
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How FOHM can be combined to provide adaptive
hypermedia techniques
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Outline

• Overview
• A-PIE
• Data storage
• Searching in a-PIE
• Sharing and enriching the information
• a-PIE architecture
• Ontology
• Simple processes for annotation
• Summary
• Future Work

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Data storage

• Models
• Domain concept (RDF)
• Domain data (FOHM)
• Structure model (RDF)
• User model (RDF)
• Presentation model (CSS)

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Structure of information represented by FOHM

• Navigational Link
• Tour
• Level of Detail
• Concept

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Searching in a-PIE

• Layered searching
• First RDF (Concept and Structure)
• Then FOHM (Domain data)
• User Model
• Using values from User Model to restrict search
  results.

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Sharing and enriching the information

• Ontologies
• Represent relationships of domain concepts
• Enrich links and data content
• Enable users to share and reuse data or
  association (FOHM)

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a-PIE Architecture
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1
Structure Ontology (RDF)
Domain concept Ontology (RDF)
User Interface
Adaptive Engine
Presentation Catalog
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3
Linky Service
User ontology (RDF)
Auld Linky
Data (FOHM)
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Outline

• Overview
• Motivation
• Background
• A-PIE
• Data storage
• Searching in a-PIE
• Sharing and enriching the information
• a-PIE architecture
• Ontology
• Simple processes for annotation
• Summary
• Future Work

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Ontology
Structure Type
Structure
Context
User
Concept
Data Item
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Concept SKOS
skosaltLabel
skosprefLabel
skosrelated
Concept
skosbroader
skosnarrower
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Association ( link to FOHM association id )
apieassociationType
dcdate
apieuser
dcdescription
Association
apiedataId
dctitle
skosconcept
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Structure Type
Structure Type
Descriptive
Explanation
Definition
Evaluation
Instruction
Summary
Detail
Note
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Simple processes for annotation to information
chunk View
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2
3
RDF
FOHM
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Personal Repository
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Outline

• Overview
• Motivation
• Background
• A-PIE
• Data storage
• Searching in a-PIE
• Sharing and enriching the information
• a-PIE architecture
• Ontology
• Simple processes for annotation
• Summary
• Future Work

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Summary

• A-PIE is a Personal Web-based Information
  Management
• Provides information suitable for particular
  users needs
• Enables users to manipulate information they are
  interested in personal repository
• Enables users to annotate information chunk

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Summary (cont.)

• FOHM explicity way to represent hyperstructure
• Auld Linky provide personalised information
  (FOHM)
• Semantic Web define meaning explicitly to data
  item
• Web Service reusable system components

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Summary

• Related works
• COHSE, Hunter Gatherer, Semantic Community Portal
  SWED approach

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Future Work

• How to adapt information chunks (FOHM structures)
• Provide more functions for users to manipulate
  information chunks e.g. annotation, categorise
  information, add context/ behaviour, transfer
  personal information to others

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• Thank you
• http//www.ecs.soton.ac.uk/tm03r