IKHarvester (Informal Knowledge Harvester) Jarosław Dobrzański Jarosław Dobrzański jaroslaw.dobrzanski @deri.org 31 .05.2007

O utline Formal learning Informal learning Social Semantic Information Sources (SSIS) IKHarvester

Formal learning

Informal learning

Social Semantic Information Sources (SSIS)

IKHarvester

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

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

Informal learning In USA 7 5 % 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!

In USA 7 5 % 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!

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 the m Dedicated for people and computers Examples: Semantic wikis: Semantic MediaWiki extension Semantic blogs: SIOC Plugin for WordPress JeromeDL – the Social Semantic Digital Library

Compilation of the Semantic Web and Web 2.0

Collaboration

Sharing

Semantic annotations for resources

Interlinking resources and people related to the m

Dedicated for people and computers

Examples:

Semantic wikis: Semantic MediaWiki extension

Semantic blogs: SIOC Plugin for WordPress

JeromeDL – the Social Semantic Digital Library

IKHarvester – Informal Knowledge Harvester Goals to achieve: Capturing informal learning/knowledge from SSIS Providing data for eLearning frameworks, e.g. Didaskon

Goals to achieve:

Capturing informal learning/knowledge from SSIS

Providing data for eLearning frameworks, e.g. Didaskon

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

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

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, ...

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, ...

Data Providing - LOM

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

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

Service Oriented Architecture specification Removes LOM for a specified LO DELETE http://notitio.us/ikh/soa/$URI$ Adds/updates LOM for a specified LO PUT / POST http://notitio.us/ikh/soa/$URI$ Returns the content of a specified LO GET http://notitio.us/ikh/soa/$URI$/content Returns LOM for a specified LO GET http://notitio.us/ikh/soa/$URI$/manifest Returns available LOs or LOs of the specified type ( type parameter) GET http://notitio.us/ikh/soa/[type] Description HTTP Method URL

Extensibility – support for new types of respurces

Comparison with existing tools

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 search ing and brows ing with T agsTreeMaps MultiBeeBrowse r IKHarvester tasks: R etrieving RDF information about Web resources bookmarked by users Tagging Web resources E xpos ing aggregated metadata in LOM standard

http:// notitio.us

service for collaborative knowledge aggregation and sharing

bookmarking services

rich, semantically interconnected metadata shared by using Social Semantic Collaborative Filtering

search ing and brows ing with

T agsTreeMaps

MultiBeeBrowse r

IKHarvester tasks:

R etrieving RDF information about Web resources bookmarked by users

Tagging Web resources

E xpos ing aggregated metadata in LOM standard

IKHarvester at notitio.us