Intriduction to Ontotext's KIM platform

Introduction to KIMplatform
Anton Andreev
KIM overview; KIM architecture; KIM UI
April 2010

Outline
Overview
KIM WEB UI Demo
KIM Architecture
Deployment Demo
KIM platform
#2
April 2010

KIM is awesome!
KIM platform
#3
April 2010

I told you!
KIM Kardashian
#4
April 2010

KIM Platfrom
Semantic annotation of text
automatic ontology population
open-domain dynamic semantic annotation of unstructured and semi-structured content for Semantic Web and KM applications
Indexing and retrieval (semantically-enabled and IE-enhanced search technology)
Query and exploration of formal knowledge
Co-occurrence tracking and ranking of entities
Entity popularity timelines analysis
KIM platform
#5
April 2010

KIM Fact Sheet
Runs on many platforms
Officially on Sun/Oracle JVM on Linux, Windows
Reported to run on IBM Java 1.6 on PS3, also on x86 OpenSolaris
Can be used programmatically
KIM runs as a service and it is remotely accessible
through Java RMI
through Web-services from .NET or other
JMS starting from version KIM 3.0
Can integrate processing resources from GATE
Proton ontology is kind of dependency
KIM platform
#6
April 2010

Semantic Annotation
April 2010
#7
KIM platform
GATE
OWLIM

WEB UI DEMO
KIM platform
#8
April 2010
But does it really work?

April 2010
The main picture
#9
KIM platform
WWW
Local Network
Storage
Visual Interface
3rd party App
Document & Metadata
Aggregator or Crawler
Multi-paradigm Search/Retrieval
Semantic
Index
Population Service
Semantic Annotation
Semantic Indexing & Storing

The semantic data path
GATE
NLP (Natural Language Processing) phase
Not just annoations, but annotations that have URIs from the Ontology provided
Ontology aware annotations
Instance Generator
Generate URIs for the new entities and relations
If you have URIs for everything, then nothing stops us from generating RDF
SAR
If we have RDF then we need to store it and merge it with the one previously available
OWLIM
KIM platform
#10
April 2010

Semantic Repository - Instance URI
Gazetteer
Ontotext predefined kb
Some entities are identified directly and we know their instance URI and class in advance
Yes
Found
No
Benefiting form the work of the gazetteer and using rules more entities are detected
Jape rules
OrthoMatcher
Instances of the same entity are merged: ex: “Apple” and “Apple Inc.”
An algorithm is used to generate URIs.
Instance generator
OWLIM
RDF generation
Add/Merge RDF
Instance URI
KIM platform
#11
April 2010

Document Repository
Document
Full Text Index
Storage
File Store
Lucene
Other index service
KIM platform
#12
April 2010

Deployment
How to start KIM
How to configure KIM
How to import/populate documents in KIM
Populator tool
KimGate
Documentation location:
http://ontotext.com/kim/doc/sys-doc/HomePage.html
KIM 3.0
No ORACLE dependency for some of the functionality
Pluggable component architecture - this will allow KIM to start without loading semantic annotation service or document repository
Integration with latest GATE 5.1/5.2
KIM platform
#13
April 2010

Cool stuff
How we do co-occurrence in a single document?
Using a slightly modified GATE Othomatcher processing resource
How we do co-occurrence in many documents?
Using Instance URIs and OWLIM
Optimizations - parallel annotation
Using multiple GATE pipelines
#14
KIM platform
April 2010

Links
http://ontotext.com/kim
http://ontotext.com/kim/doc/sys-doc/HomePage.html
http://debian.fmi.uni-sofia.bg/~toncho/myblog/plugin/tag/kim
http://debian.fmi.uni-sofia.bg/~toncho/myblog/plugin/tag/gate
http://code.google.com/p/kimnetdemos
KIM platform
#15
April 2010

Thank you!
April 2010
#16
KIM platform
Questions?

Intriduction to Ontotext's KIM platform

by toncho11

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