Towards a Framework for
Open-Corpus Content Preparation
supporting
Adaptive Hypermedia Systems
Killian Levacher

Outline
 Increasing importance of adaptive systems on the Web
 AHS impediments to full mainstream adoption
 Novel content preparation framework solution
 Framework benefits
 Novel challenges introduced
 Roadmap ahead

Consume
Interact
Author

Adaptive Systems are at Centre Stage of this
Paradigm Shift

Content Availability Impedes AHS Full
Mainstream Adoption
Mainly due to low availability of suitable content in
terms of volume, style, diversity, meta-data, granularity…
 Manually Authored by Small groups of Users
 Lack of Diversity and Up to Date Content
 Pre-existing Documents
 Authored in particular Formats

Wealth of Information on the Web
 Content not directly re-usable by AHS
• Usually built for single purpose usages
• Limited amount of meta-data
• Very heterogeneous (Style…)
• Different languages
• Very coarse grained
• Contains noisy information

Adaptive Engine
Content
Narration User Model
Adaptive System

Adaptive Engine
Content
Adaptive System
Narrative User Model

Adaptive Engine
Narrative User Model
Content

Open Corpus Content Preparation
 Avail AHS with the wealth of open-corpus information
 Bridge the gap between open-corpus content & AHS specific
information requirements
 Fully decouple content from core adaptive system
 Service that prepares open-corpus content for AHS usage
 Automated content preparation service
 Wide variety of up to date content
 Re-purposing of existing content
 No generic structure to comply with

Content Analysis Services
A Priori
 A Slice
• is a semantically independent piece of content extracted
from a pre-existing document
• Is retrieved in a chosen format
• represents a AH subjective perspective of a document

Content Analysis Services
A Priori
On Demand
AHA! KnowledgeSea

Benefits of this Framework
 Open Corpus processing re-purposing content
 Automated content Slicing vs Manual Authorship
• Possible solution to content authorship scalability
 Removal of content format dependency for AH
• Content preparation approach solves Interoperability
issues
 Pipelined approach enables new content annotators to
be plugged in seamlessly
 Concept of subjective slices of existing content

New Challenges Introduced
 Structural Segmenter fulfilling large domain and
processing speed requirements
 Semantic Annotator will be a critical component
• How much semantic meta-data can we really aim
for? Will it necessarily be domain dependant?
• Has a direct influence on Slice Precision

Roadmap Ahead
 Selection or composition of a framework specific
structural segmenter
 Initial comparative evaluation of semantic analyzer to
evaluate the quality and volume of meta-data expected
 Implementation of framework within a Personalized
Multi-Lingual Customer Care System

Summary
 Content provision impedes the full mainstream adoption
of AHS
 Content provision should be fully loosely coupled with
adaptive systems
 Novel open-corpus preparation framework
 Solution provides content scalability, interoperability,
volume, diversity
 New challenges ahead
 Initial proof of concept planned within PMCC system

Discussion
Ideas
Questions
Comments
Suggestions