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

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Presentation on theme: "Semantic Web Browsing for the VISWE Learning Community Arthur Stutt (some slides from ISWC 2003 talk) Knowledge Media Institute, The Open University, UK."— Presentation transcript:

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

5 LOs MetaData Conventional System 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

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

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

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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+

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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

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