1 Copyright 2005 Digital Enterprise Research Institute. All rights reserved.

www.deri.org

IKHarvester(Informal Knowledge Harvester)

Jarosław Dobrzański

Jarosław Dobrzańskijaroslaw.dobrzanski@deri.org

31.05.2007

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Outline

• Formal learning

• Informal learning

• Social Semantic Information Sources (SSIS)

• IKHarvester

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Formal learning

• Rigid courses – made once and for all

• Traditional, old, preparatory approach– i.e. gathering in a classroom

• Training is PUSHED

• Employs advanced solutions– Learning Management Systems– Online courses

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Informal learning

• In USA 75% of organizational learning is informal

• Self-directed learning

• Collaborative learning

– Communication between learners

– Shared knowledge

• Flexible and spontaneous (when/where/what to learn)

• Learning is PULLED

• Not well structured

– Article on Wikipedia

– Blog posts

– Chats with communicators, i.e. Skype

– Chats at the coffee machine

• Cheap or costless!

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Social Semantic Information Sources

• Compilation of the Semantic Web and Web 2.0– Collaboration– Sharing– Semantic annotations for resources– Interlinking resources and people related to them– Dedicated for people and computers

• Examples:– Semantic wikis: Semantic MediaWiki extension– Semantic blogs: SIOC Plugin for WordPress– JeromeDL – the Social Semantic Digital Library

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IKHarvester – Informal Knowledge Harvester• Goals to achieve:

– Capturing informal learning/knowledge from SSIS – Providing data for eLearning frameworks, e.g. Didaskon

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Data Harvesting

• The Semantic Web– RDF feeds (semantic wikis)– Relation with RDF documents

• Information in HTML

• Non-semantic web pages– HTML of Wikipedia or blogs on Blogger still is quite semantic –

common templates of web pages– HTML scraping

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Data Providing

• Learning Object Metadata (LOM)– Standard underlying SCORM 2004– Features:

• Used in a number of LMSs• Rich description• Many aspects: educational, technical,

relations with other LOs, classification, ...

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Data Providing - LOM

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Service Oriented Architecture

• Why SOA?– Encapsulation– Abstraction – hidden logic– Loose coupling - independancy– Quicker reposnses– Reusability - one deployment, many usages

• REST-based Web Services– Popular with Web 2.0 and the Semantic Web– Resource-oriented

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Service Oriented Architecture specification

URLHTTP

MethodDescription

http://notitio.us/ikh/soa/[type] GETReturns available LOs or LOs of the specified type (type parameter)

http://notitio.us/ikh/soa/$URI$/manifest GET Returns LOM for a specified LO

http://notitio.us/ikh/soa/$URI$/content GET Returns the content of a specified LO

http://notitio.us/ikh/soa/$URI$PUT / POST

Adds/updates LOM for a specified LO

http://notitio.us/ikh/soa/$URI$ DELETE Removes LOM for a specified LO

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Extensibility – support for new types of respurces

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Comparison with existing tools

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IKHarvester at notitio.us

• http://notitio.us– service for collaborative knowledge aggregation and sharing– bookmarking services– rich, semantically interconnected metadata shared by using Social

Semantic Collaborative Filtering– searching and browsing with

• TagsTreeMaps• MultiBeeBrowser

• IKHarvester tasks:– Retrieving RDF information about Web resources bookmarked by

users– Tagging Web resources– Exposing aggregated metadata in LOM standard

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IKHarvester at notitio.us