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BONy: a knowledge centric collaborative learning platform social.bonynetwork.eu Alfio Massimiliano Gliozzo, Concetto Elvio Bonafede and Aldo Gangemi STLAB - ISTC - CNR supported by the BONy project, financed by the Education and culture DG of the EU, grant agreement N 135263-2007-IT-KA3-KA3MP, under the Lifelong Learning Programme 2007 managed by EACEA.
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What is BONy? Technology enhanced platform for collaborative learning Semantic technology for – System integration DOKEOS: Learning Content Management System Spree: social network – develop advanced functionalities User Profiling Expert Finding Semantic Search Mentoring: Generation of personalized learning paths GOAL: make it work!
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BONy is an LCMS 3 W HAT IS BON Y ? Registration
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4 W HAT IS BON Y ? UNITS 1.Basic Concepts 2.European project cycle 3.European Project Management Methodology 4.Legal aspects 5.Exploitation UNITS 1.Basic Concepts 2.European project cycle 3.European Project Management Methodology 4.Legal aspects 5.Exploitation Project Cycle Management Italian Spanish Polish Greek Catalan France German English Hungarian Slovak Czech
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5 Interfaces for: PC, Laptop, NetBook http://social.bonynetwork.eu PDA http://mobile.bonynetwork.eu/ TARGETED END-USERS E-learning & Mobility
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The BONy community W HAT IS BON Y ? BONy Educational Social Network Expert Finding Based on http://spree.dai-labor.de/
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Wiki aligned to the Learning Objects
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8 W HAT IS BON Y ?
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Semantic Technology in BONy
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Principles Re-usability: – when adapted to a new course, the OWL schema of the ontology is preserved – minimize the adaptation costs to new domains; Modularity – Topic Ontology – User Ontology – eLearning Ontology Best practices: – the ontology has been designed by specializing Ontology Design Patters (ODP)
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The Bony Ontology
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Building the topic ontology A domain expert manually selected relevant keywords for each English SCO Looking for corresponding wikipedia pages and their categories – 54 TOPICs – KW hasTopic TOPIC Taxonomy is inspired by the wikipedia hierarchy Keywords has been translated in all remaining languages
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Semantic Search 13 W HAT IS BON Y ?
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User Profile 1/2
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User profile 2/2
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16 Ask for support / automatic Expert finding W HAT IS BON Y ? BONy Educational Social Network
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Connecting Users and SCOs eLearning Ontology: – Describes Shared Content Objects (SCO) type of electronic support adopted dependencies between learning objects time required for learning – SCO hasTopic TOPIC User Ontology: – Represents user profiles – AGENT knowsTopicTOPIC – 5 Levels of expertise knowsBasic … knowsPerfect
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Mentoring: personalized learning paths based on the user profile Implemented by SPARQL queries
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Conclusion Semantic technology has been used for – System integration – Advanced functionalities BONy 3.0: Knowledge Centric Authoring tool – learning objects are generated from existing Linked Data – Using Ontology design patterns for aggregating Linked Data
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BONy: a knowledge centric collaborative learning platform social.bonynetwork.eu Alfio Massimiliano Gliozzo, Concetto Elvio Bonafede and Aldo Gangemi STLAB - ISTC - CNR supported by the BONy project, financed by the Education and culture DG of the EU, grant agreement N 135263-2007-IT-KA3-KA3MP, under the Lifelong Learning Programme 2007 managed by EACEA.
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21 Ask for support / automatic Expert finding W HAT IS BON Y ? BONy Educational Social Network Questions Experts Most Related Notebook Entries
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Expert finding 1/2
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Expert finding 2/2
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24 Expert support rating W HAT IS BON Y ? BONy Educational Social Network
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25 Italian Spanish Polish Greek Catalan France German English Hungarian Slovak Czech W HAT IS BON Y ?
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26 W HAT IS BON Y ?
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27 W HAT IS BON Y ?
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28 Expert support rating W HAT IS BON Y ? BONy Educational Social Network
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Semantic Technology in BONy
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Inspiring Principles re-usability: – when adapted to a new course, the OWL schema of the ontology is preserved – minimize the adaptation costs to new domains; modularity: – three modules eLearning content social network Topics best practices: – the ontology has been designed by specializing Ontology Design Patters (ODP)
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The Bony Ontology Ontology Design Patterns are used
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The BONy ontology Topic Ontology: – Represents topics covered by the eLearning course – TOPIC broader/narrower than TOPIC eLearning Ontology: – Describes Shared Content Objects (SCO) type of electronic support adopted dependencies between learning objects time required for learning – SCO hasTopic TOPIC User Ontology: – Represents user profiles – AGENT knowsTopicTOPIC – 5 Levels of expertise knowsBasic … knowsPerfect
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Building the topic ontology A domain expert manually selected relevant keywords for each English SCO – 46 SCO – Average 5 KWs/SCO – SCO hasKeyword KEYWORD Find wikipedia pages for each keyword and corresponding wikipedia categories – 54 different TOPIC – KW hasTopic TOPIC Taxonomy is inspired by the wikipedia hierarchy Keywords are translated in different languages
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34 W HAT IS BON Y ? Registration What is BONy? User Profiles
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35 Ask for support / automatic Expert finding W HAT IS BON Y ? BONy Educational Social Network
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36 Ask for support / automatic Expert finding W HAT IS BON Y ? BONy Educational Social Network Questions Experts Most Related Notebook Entries
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37 Italian Spanish Polish Greek Catalan France German English Hungarian Slovak Czech W HAT IS BON Y ?
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38 Interfaces for: PC, Laptop, NetBook http://social.bonynetwork.eu PDA http://mobile.bonynetwork.eu/ TARGETED END-USERS E-learning & Mobility
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Mentoring: personalized learning paths based on the user profile Reasoner implemented by SPARQL query
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User Profile 1/2
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User profile (1/2)
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Multilingual Search Technology: NLP, Lucene
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Mentoring Generation of personalized learning paths Goal: recommending slides minimizing the User profile is represented in the same topic space of learning objects Sparql queries are used to select objects having different topics
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Expert finding 1/2
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Expert finding 2/2
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BONy 3.0: project proposal Knowledge Centric Authoring tool – Linked open data are the building blocks of learning objects – Ontology design patterns for aggregating linked data – Learning objects are dynamically rendered on a variety of media (web pages, PDA, speech) Agent based services – Automatic generation of questionnaires – Agent assisted tutoring – Semantic social network (Partially in BONy) From search to recommending – Personalized generation of learning paths (already in BONy) – Related learning objects – Semantic browsing of content
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