![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](https://image.slidesharecdn.com/ikharvester-informal-knowledge-harvester-14869/85/IKHarvester-Informal-Knowledge-Harvester-11-320.jpg)
IKHarvester - Informal Knowledge Harvester
- 1. IKHarvester (Informal Knowledge Harvester) Jarosław Dobrzański Jarosław Dobrzański jaroslaw.dobrzanski @deri.org 31 .05.2007
- 2. O utline Formal learning Informal learning Social Semantic Information Sources (SSIS) IKHarvester
- 3. 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
- 4. 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!
- 5. 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
- 6. IKHarvester – Informal Knowledge Harvester Goals to achieve: Capturing informal learning/knowledge from SSIS Providing data for eLearning frameworks, e.g. Didaskon
- 7. 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
- 8. 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, ...
- 9. Data Providing - LOM
- 10. 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
- 11. 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
- 12. Extensibility – support for new types of respurces
- 13. Comparison with existing tools
- 14. 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