Semantic Web Browsing for the VISWE Learning Community

1. Semantic Web Browsing for the VISWE Learning Community Arthur Stutt (some slides from ISWC 2003 talk) Knowledge Media Institute, The Open University, UK

2. Why 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

3. Semantic 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.

4. Teachers/Learners Designers Administrators KB KB KBs Semantic Browsing For the Semantic Web Learning Community VISWE Conventional System 3 1 LOs Initial prototype By Month 18 =June 2005 Semantic Web Community MetaData LMS Magpie is a Semantic Browser Which mediates among ontology, KBs, LOs, services and users Learning Services: Glossaries, Sense-making, Collaboration… 2 Satisfaction of Community needs Is paramount Community constructs LOs, Services, ontologies Community- oriented Tools Semantic Web Ontology/ies Not THE ontology But One suited to SW community Needs Semantic Web Extensions

5. Conventional System LOs MetaData LMS Solution to puzzle of how to provide decent E-learning + =

6. MAGPIE John Domingue Martin Dzbor, and Enrico Motta Magpie IE Plugin downloadable from http://kmi.open.ac.uk/projects/magpie

7. Magpie • 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)

8. Current ontology classes (Results of) Learning service selected

10. Semantic Enhanced Web Browsing - MAGPIE • 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

11. Lexicon Enriched Web Page Web Page (found-item 3275578832 localhost #u"http://localhost/people/motta/" john-domingue john-domingue) (found-item 3275578832 localhost Ontology based Proxy Server Semantic Log Magpie Overview

12. Supporting 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)

13. Magpie 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

14. Learning • Search and retrieval of material • Personalization • Browsing • Sense-making • Display • Collaboration • Course construction • Assessment

15. Magpie 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

17. Extending VISWE’s LMS using Magpie • 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

18. Ontology 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

19. Possible problems • Conflicts between services provided by LMS and SW extensions • No pedagogy in SW extensions

20. Semantic Web Extensions • Semantic web browsing • Personalized search and retrieval • Semantic Learning Web services • Knowledge Navigation and Knowledge Charts • Knowledge Neighbourhoods • Communication and Collaboration tools

21. Vision 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+

23. Debates/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

24. Knowledge Charts, Navigation, Neighbourhoods • 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

25. Knowledge Chart fragments