A LOD SEARCH INDEX STRUCTURE FOR LEARNING...
Transcript of A LOD SEARCH INDEX STRUCTURE FOR LEARNING...
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A LOD SEARCH INDEX STRUCTURE FOR
LEARNING RECOMMENDATION RESOURCES SYSTEM
Michelle Wang
Research Center for Information Technology Innovation, Academia Sinica
2013/5/29 , Hong Kong
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OUTLINE Learning Resources Recommendation
System
LOD : format , example , application
Open Data Business / Ecosystem
Combine Resources Recommendation System and LOD
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Learning Resources Recommendation System
Learning System Trends : Personalization Course Adaptive Knowledge Map Mobility
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Learning Resources Recommendation System
Main challenge : data acquisition problem knowledge acquisition problem open corpus problem scalable adaptive
1. related data from different domains 2. identical users in different communities
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Learning Resources Recommendation System
Tim Berners-Lee's 5 star Open Data plan :
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OPEN DATA - format
http://support.google.com/webmasters/bin/answer.py?hl=en&answer=146898
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OPEN DATA - format
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OPEN DATA - format
Source : Applying Linked Open Data for Green Introduction
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OPEN DATA - example
http://data.gov.uk
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OPEN DATA - example
http://data.gov.tw
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OPEN DATA - example
http://open-data.europa.eu/
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OPEN DATA - application
World Bank DataFinder Mobile Apps http://data.worldbank.org/apps
real estate listings http://www.zillow.com/
等公車 App i84 Taipei 大台北公車
台北等公車
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OPEN DATA - application
Source : http://radar.oreilly.com/2010/06/here-come-healthcare-apps.html
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Open Data Business / Ecosystem
Source: Price Waterhouse Coopers – Technology Forecast, Spring 2009
Why LINKEDOpen Data???
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Open Data Business / Ecosystem OGD BusinessDay 2012: Open Data (&) Business, 22.03. 2012, Vienna
http://ogdb.eventbrite.com/
European Data Forum 2012, 6-7 June12, Copenhagen, DK http://data-forum.eu
OGD2012 Conference, Linz, Austria, 26.06. 2012 http://www.ogd2012.at
Open Data & Business (EN): http://lists.okfn.org/mailman/listinfo/ogd-business
OKFO / OGD Austria (DE): http://opendata.at/okfo
Health Data Initiative http://www.hhs.gov/open/initiatives/hdi/
Open growth: Stimulating demand for open data in the UK http://www.deloitte.com/assets/Dcom-
UnitedKingdom/Local%20Assets/Documents/Market%20insights/Deloitte%20Analytics/uk-da-open-growth.pdf
Open Data Center Alliance http://www.opendatacenteralliance.org/newsroom/mediaresources
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Open Data Business / Ecosystem
Source : http://www.hhs.gov/open/plan/opengovernmentplan/initiatives/initiative.htmlhttp://radar.oreilly.com/2010/06/unlocking-innovation-through-d.html
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Open Data Business / Ecosystem
Source : http://radar.oreilly.com/2013/01/open-data-business-models-deloitte-insight.html
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Combine Resources Recommendation System and LOD
Challenges Data level integration and
connection to Linked Open Data cloud.
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Combine Resources Recommendation System and LOD
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Combine Resources Recommendation System and LOD
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Combine Resources Recommendation System and LOD
Index Integrated Search Engine , ex : Google , knowledge map Application , ex : DBPEDIA Search tool , ex : Solr
Features for Recommendation System user preferences Item / resource content Usage / use log Interactions / social
Learning Course / Resources at LOD Course -> Knowledge -> semantic -> user model personal knowledge recommendation Linked Course
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Challenges of LOD measurement reliability peak-load performance usefulness attacks
Combine Resources Recommendation System and LOD
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Combine Resources Recommendation System and LOD
THE LIFE-CYCLE OF LINKED DATA Extraction of RDF from
text, XML and SQL Querying and
Exploration using SPARQL
Authoring of Linked Data using a Semantic Wiki
Semi-automatic link discovery between Linked Data sources
Knowledge-base Enrichment and Repair
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Combine Resources Recommendation System and LOD
DBPEDIA Cinemappy
Source : Cinemappy: a Context-aware Mobile App for Movie Recommendations boosted by DBpedia
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Combine Resources Recommendation System and LOD
A
B
C
User Course LOD
a
b
c
d
f
g
Social
Social filtering + Collaborative Filtering (user-based + content-based)
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Combine Resources Recommendation System and LOD
Architecture of Linked Course Data Data Conversion Layer
extract the concept, property, instance and relation among concepts in RDF triples.
Output : RDF data Data Enrich and Linked Layer
map the data to the corresponding entities in linked data
output : discover the potential relationship between entities
Data Storage and Indexing Layer unify the data formats in order to avoiding
the error caused by the different formats. Data Application Layer
show the linked data with the text, tables and image from different views according to users needs.
Source : Linked Course Data-based User Personal Knowledge Recommendation Engine
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Conclusions
Optimize data for search engine and application Transfer resources to RDF / LOD format ,
combine with existing application
Make resources courselize Ready recommendation-related info :
Content Author Usage
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Discuss
Q & A