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

Manually Authored by Small groups of Users

Lack of Diversity and Up to Date Content

Pre-existing Documents

Authored in particular Formats

Content Availability Impedes AHS Full

Mainstream Adoption

Mainly due to low availability of suitable content in terms of volume, style, diversity, meta-data, granularity…

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 User ModelNarration

Adaptive System

Content

Adaptive Engine

Adaptive System

User ModelNarrative

Adaptive Engine

Content

User ModelNarrative

Automated content preparation service

Wide variety of up to date content

Re-purposing of existing content

No generic structure to comply with

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

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

KnowledgeSeaAHA!

On Demand

Content Analysis Services

A Priori

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 PersonalizedMulti-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

IdeasQuestions

Comments

Suggestions