from research to innovation: linked open data and gamification to design intelligent learning...
TRANSCRIPT
NEES/IC and CAED/ICMCFederal University of Alagoas and University of São Paulo
igbittencourt.com and isotani.caed-lab.comIg Ibert Bittencourt and Seiji Isotani
From Research to Innovation: Linked Open Data and Gamification to Design Intelligent Learning Environments
Brasil
Brasil
Maceió
Maceió
Maceió, AL
NEES/IC e CAED/ICMCFederal University of Alagoas e University of São Paulo
igbittencourt.com and isotani.caed-lab.comIg Ibert Bittencourt e Seiji Isotani
From Research to Innovation: Linked Open Data and Gamification to Design Intelligent Learning Environments
Linked Open Data
Standardization effort and JOINT
Gamification and MeuTutor
Linked Open Data
Standardization effort and JOINT
Gamification and MeuTutor
The Semantic Web Stack
The (new) Semantic Web Stack
The (new) Semantic Web Stack (with a Linked Data view)
Can we discover which is our potential JAIST’s audience?
Audience
Professor Riichiro
JAIST’s Professors
Professors’s DBLP
DOI’s Papers
CV’s Authors
CV’s: Ig & Seiji
“International alliance that provides a platform for domestic reformers committed to making their governments more open, accountable, and responsive to citizens”.
OPEN GOVERNMENT PARTNERSHIP
Publish Consume
1.06%
(Low Quality and Unlinked)
Publish Consume
188 tools
(Low Quality and Unlinked)
Publish
(Complex and Time-Consuming)
Consume
Publish Consume
How to better
data on the Web?
Linked Open Data
Standardization effort and JOINT
Gamification and MeuTutor
Best Practices
• URI Design • Use of vocabs to improve interoperability• Publishing and accessing versions of datasets• Reuse of vocabs and datasets
Data Usage Vocab
• To describe how to use a dataset• To know where and how data has been used by applications• To support discoverability of applications
Quality and Granularity Vocab
• To cover the quality of the data• To extend DCAT vocab• To foster trust amongst data consumers (e.g. developers)
Data on the Web Best Practices Working Group Charter
Data on the Web Best Practices Working Group Charter
Use CasesChallengesRequirementsBest PracticesVocabulary
Data on the Web Best Practices Working Group Charter
Data on the Web Best Practices Working Group Charter
Data on the Web Best Practices Working Group Charter
Use CasesChallengesRequirementsBest PracticesVocabulary
Best Practices
• URI Design • Use of vocabs to improve interoperability• Publishing and accessing versions of datasets• Reuse of vocabs and datasets
Data Usage Vocab
• To describe how to use a dataset• To know where and how data has been used by applications• To support discoverability of applications
Quality and Granularity Vocab
• To cover the quality of the data• To extend DCAT vocab• To foster trust amongst data consumers (e.g. developers)
Data on the Web Best Practices Working Group Charter
Linked Open Data
Standardization effort and JOINT
Gamification and MeuTutor
Publish Consume
How to better
data on the Web?
188 tools
RDF Triples Paradigm
OO Paradigm
JOINT
Ig Ibert Seiji Isotani
ArmandoBarbosa
Williams Alcantara
JudsonBandeira
EndheElias
Holavo Olanda
JOINT: Java Ontology Integrated Toolkit
+
JOINT: Java Ontology Integrated Toolkit
• A toolkit that supports the development of ontology based applications;
• It provides an integration of existing technologies and techniques to create a unified environment;
• Main goal: Easy and efficient development of ontology-based application.
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JOINT: Java Ontology Integrated Toolkit
JOINT: Java Ontology Integrated Toolkit
JOINT: Java Ontology Integrated Toolkit
Interface OnlineAccount Class OnlineAccountImpl
JOINT: Java Ontology Integrated Toolkit
JOINT: Java Ontology Integrated Toolkit
Artificial Intelligence
Artificial Intelligence
a:title
2013
a:year3ª
a:edition
Prentice Hall
Russell
Norvig
a:publisher
a:author
a:author
Prentice Hall
Saddle River
Stuart J. Russell
1962
Peter Norvig
1956
a:name
a:name
a:name
a:city
a:birth_year
a:birth_year
Load at First level Lazy Load
JOINT: Java Ontology Integrated Toolkit
Development Productivity
Performance and use of memory
Development of Real-World Apps
JOINT: Java Ontology Integrated Toolkit
Group Machines Tool
F5 Intel Core I5, 4GB de RAM JOINT
F3 Intel Core I3, 4GB de RAM JOINT
J5 Intel Core I5, 4GB de RAM Jastor and Jena
J3 Intel Core I3, 4GB de RAM Jastor and Jena
Group Development Time
Codes Lines Running Time Memory Usage
F5 7 hours 72 lines 2584 ms 15,4 MB
F3 6 hours 81 lines 3757 ms 16,2 MB
J5 15 hours 89 lines 4070 ms 61,5 MB
J3 18 hours 84 lines 4144 ms 52,2 MB
JOINT: Java Ontology Integrated Toolkit
Education Health Security
City Real Estates User Data
Linked Open Data
Standardization effort and JOINT
Gamification and MeuTutor