IKHarvester - Informal Knowledge Harvester

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
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!

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

IKHarvester – Informal Knowledge Harvester
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

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, ...

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

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

IKHarvester at notitio.us

http://dobrzanski.net	25
http://www.dobrzanski.net	1
http://www.slideshare.net	1
http://d2ll.wordpress.com	1

IKHarvester - Informal Knowledge Harvester

by Jaroslaw Dobrzanski on May 31, 2007

Accessibility

Categories

Tags

Upload Details

Usage Rights

4 Embeds 28

Statistics

IKHarvester - Informal Knowledge Harvester — Presentation Transcript