Semantic Web Browsing for Semantic Web Browsing for the VISWE Learning the VISWE Learning

CommunityCommunityArthur Stutt

(some slides from ISWC 2003 talk)

Knowledge Media Institute, The Open University, UK

Why add extensionsWhy add extensions

Knowledge Web is a Semantic Web oriented NoE

We need showcases of what we can do The LMS+SW hybrid augments/provides an

alternative for browsing, search, etc. LMS+SW is better since more focussed on

resources retrieved using an ontology built by the community - i.e., using a community point of view

Semantic Web ExtensionsSemantic Web Extensions

Semantic web browsing

Personalized search and retrieval

Semantic Learning Web services

Knowledge Navigation and Knowledge Charts

Knowledge Neighbourhoods

Communication and Collaboration tools

Semantic extensions for best practice storage and retrieval (W3C SIG, Outreach to Industry)Note that we will concentrate in the first 18 months on adding semantic browsing using KMi’s Magpie.

3

VISWE

LOs

MetaData

Conventional System

LMS

1

2

Designers

Teachers/Learners

Administrators

Semantic WebOntology/ies

KBKB

KBs

Semantic WebCommunity

Community-oriented

Tools

LearningServices:Glossaries,Sense-making,Collaboration…

Semantic WebExtensions

Not THE ontology But One suited to

SW communityNeeds

Magpie is a Semantic Browser Which mediates

among ontology, KBs, LOs, services

and users

Satisfaction ofCommunity needs

Is paramount

Community constructs LOs, Services,

ontologies

Initial prototypeBy Month 18 =June 2005

Semantic BrowsingFor the Semantic Web Learning Community

LOs

MetaData

Conventional System

LMS

+ =

Solution to puzzle of how to providedecent E-learning

MAGPIEMAGPIE

John Domingue Martin Dzbor, and Enrico Motta

Magpie IE Plugin downloadable fromhttp://kmi.open.ac.uk/projects/magpie

MagpieMagpie

Uses lexicon derived from domain ontology to identify and highlight textual elements in web pages which can be associated with classes

Associates appropriate services with classes

User accesses these from menu obtained by right clicking on highlighted class

Can also push information (related class instances etc.) as user browses

Keeps semantic log of user interactions (i.e., asserts to knowledge base)

Current ontologyclasses

(Results of) Learning service selected

Semantic Enhanced Web Browsing - Semantic Enhanced Web Browsing - MAGPIEMAGPIE

Focus on ontology based semantic enrichment of web pages

Zero work (for end user)

Zero time overhead

Zero cognitive overhead

Integrated with standard web browsers

Minimal changes to look and feel of web pages

User requested (pull) and trigger (push) semantic services

One-click (or less) interface

Magpie OverviewMagpie Overview

Ontology basedProxy Server

Lexicon

Web Page Enriched Web Page

Semantic Log

(found-item 3275578832 localhost #u"http://localhost/people/motta/" john-domingue john-domingue)(found-item 3275578832 localhost

Supporting Collaborative WorkSupporting Collaborative Work

Semantic annotations & semantic log as team memory

Team members benefit from colleagues’ semantic annotations and browsing history

Synchronous communication using a KMi Jabber/XML based telepresence tool (BuddySpace)

Magpie SummaryMagpie Summary Semantic web browsing to support sense-

making

Integrated with standard web browsers

User requested (pull) and trigger (push) semantic services

Semantic web browsing at no-extra-cost and no-extra-cognitive-overhead

Current Work— Integrating NER— Integrating semantic web services— Integrating semantic annotation— Creating a framework for web site development

LearningLearning

Search and retrieval of material Personalization Browsing Sense-making Display Collaboration Course construction Assessment

Magpie and learningMagpie and learning

Currently— Services such as Glossaries, similar projects, who

works with whom etc.

Medium term— Semantic Web Services for Learning such as

summarization, helping with citations

Future— Knowledge Charts

Extending VISWE’s LMS using Extending VISWE’s LMS using MagpieMagpie

Identify community/community requirements

Build Ontology (and create metadata scheme, populate ontologies)

Create/find tools for community construction of ontologies, learning objects, learning services

Construct new learning services

Ontology for SW domainOntology for SW domain Subsumes Ontoweb Portal Ontology/AKT – which can

be regarded as community self-portrait Not sufficient for learning Needs EML or similar for pedagogic roles, course

components, courses, programmes etc. Needs new classes for subject matter (e.g., for

knowledge modelling and its components; topics etc) Must be built by the KnowledgeWeb/VISWE community

Possible problemsPossible problems

Conflicts between services provided by LMS and SW extensions

No pedagogy in SW extensions

Semantic Web ExtensionsSemantic Web Extensions

Semantic web browsing

Personalized search and retrieval

Semantic Learning Web services

Knowledge Navigation and Knowledge Charts

Knowledge Neighbourhoods

Communication and Collaboration tools

Vision of ontology-based learningVision of ontology-based learning

Goes beyond LOs + markup + search + retrieval

Learning Service oriented

Knowledge Charts— Controversies/debates— Principles— Causes— Narratives

Built by community

Navigated by Magpie+

Debates/Scientific ControversiesDebates/Scientific Controversies Archaeology

— Cannibalism and the Anasazi— Invasion versus cultural imperialism

Earth Sciences— Wegener and continental drift— Climate change and Lomborg

Biology— Darwin and creationism— Darwin and Lamarque— Birds are dinosaurs

Agriculture— GM versus organic— Badgers and Bovine TB

Knowledge Charts, Navigation, Knowledge Charts, Navigation, NeighbourhoodsNeighbourhoods

Charts— Special type of LO— Community authored— Automatically constructed (ScholOnto and

ClaimSpotter)

Navigation— Fixed links (chart to chart, chart to text)— Dynamic linking

Neighbourhoods— Common ontology— Common Interests— Common ownership of resources

KnowledgeChart fragments