SAmgI: Automatic Metadata Generation v2.0 Michael Meire, KULeuven, Belgium Xavier Ochoa, ESPOL, Ecuador Erik Duval, KULeuven, Belgium 2007
Jul 07, 2015
SAmgI: Automatic Metadata Generation v2.0
Michael Meire, KULeuven, Belgium
Xavier Ochoa, ESPOL, Ecuador
Erik Duval, KULeuven, Belgium
2007
Agenda
• Why Automatic Metadata Generation?
• AMG v.1 – What Went Wrong
• SAmgI – What is New• SAmgI in Action
• SAmgI to the Test
• Make SAmgI yours!
Economy of Abundance
Economy of Abundance
Put your LMS here!
Managing Abundance
• But those resources have to be:– Found– Shared among tools
– Evaluated by users– Assembled together– Related to each other– Branched in new versions– …
• But those resources have to be:– Found– Shared among tools
– Evaluated by users– Assembled together– Related to each other– Branched in new versions– …
Managing Abundance
This is a job for …
METADATAMETADATA
But WHO will create all this
metadata?
ARIADNE Grow
ARIADNE Grow
Librarian metadata
doesn’t scale!
Automatic is the Way…
• GATE (Cunningham et al. 2002)
• AMeGA (Greenberg et al. 2005)
• Magic system (Ying et al. 2005) • AMG (Cardinaels et al. 2005)
Use information about the Object and its Context to extract or generate its metadata
AMG v.1 Design
• Integrate existing extraction algorithms
• Two groups of Generators/Indexers:– Object Based Extractors– Context Based Extractors
• Extraction/Generation Toolbox– Keywords, Summarization, Language, EXIF
AMG v.1 Design
AMG v.1 What Went Wrong
• It was an application
• Not as flexible as initially thought
• Initial set of extraction tools was too basic
• It was Java only
• It was an application
• Not as flexible as initially thought
• Initial set of extraction tools was too basic
• It was Java only
AMG v.1 What Went Wrong
If at first you don't succeed…
SAmgI – What is New
• Simple AMG Interface
• Main Design Goals:– Easily Extendable– Service Oriented
Easily Extendable
Service Oriented
Service Oriented
Service Oriented
SAmgI in Action
• Projects deploying SAmgI:– MACE (http://www.mace-project.eu/)
– MELT (http://info.melt-project.eu/)
– ACKNOWLEDGE (http://projects.ibbt.be/acknowledge)
– GLOBE network (http://globe-info.org/)
SAmgI in Action
• Try it online:– http://www.cs.kuleuven.ac.be/~hmdb/amg
SAmgI to the Test
• 22 reviewers for 20 LOM records– 10 human generated (from Ariadne KPS)– 10 SAmgI generated (from Prolearn deliverables)
• 7 quality parameters (Bruce & Hillman framework)
– Completeness– Accuracy– Provenance– Conformance to expectations
– Logical consistency and coherence
– Timeliness– Accessibility
SAmgI to the TestAverage Grade
0
0,5
1
1,5
2
2,5
3
3,5
4
Comple
tnes
Accur
acy
Prove
nanc
e
Confo
rman
ce
Coher
ence
Timeli
ness
Acces
ibility
Quality Parameter
Qu
alit
y V
alu
e (0
- 6
)
AutomatedManual
SAmgI to the TestAverage Grade
0
0,5
1
1,5
2
2,5
3
3,5
4
Comple
tnes
Accur
acy
Prove
nanc
e
Confo
rman
ce
Coher
ence
Timeli
ness
Acces
ibility
Quality Parameter
Qu
alit
y V
alu
e (0
- 6
)
AutomatedManualNo
significative difference in Quality!
Make SAmgI yours!
• Option 1: SAmgI as a black box– Minimum programming – No context information
– Small set of metadata.
• Option 2: Create a CBG– Reuse all the other services
– Rich metadata set– Some programming required
Make SAmgI yours!
• Source:– Sourceforge – ARIADNE KPS Project
(http://ariadnekps.cvs.sourceforge.net/ariadnekps/SAmgI/)
• Binaries and Examples:– SAmgI Website
(http://www.cs.kuleuven.ac.be/~hmdb/amg)
Thank You! Dank U! Gracias!• Questions, Comments, Critics…
are all welcome!!
Michael [email protected] http://www.cs.kuleuven.ac.be/~michael
Xavier [email protected]
http://www.cti.espol.edu.ec/xavier
Erik [email protected] http://www.cs.kuleuven.ac.be/~erikd