Intriduction to Ontotext's KIM platform

April 2010

Introduction to KIMplatform

Anton Andreev

KIM overview; KIM architecture; KIM UI

Outline

• Overview• KIM WEB UI Demo• KIM Architecture• Deployment Demo

KIM platform #2April 2010

KIM is awesome!

KIM platform #3April 2010

I told you!

KIM Kardashian

#4April 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 #5April 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

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Semantic Annotation

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GATE

OWLIM

WEB UI DEMO

KIM platform #8April 2010

• But does it really work?

April 2010

The main picture

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Storage

Local Network

Document &

MetadataAggregator or Crawler

Population Service

Semantic Annotatio

n

Semantic Indexing

& Storing

Semantic Index

Multi-paradigm Search/Retrieva

l

Visual Interface

3rd party App

WWW

The semantic data path

GATE

Ontology aware annotations

SAR

OWLIM

NLP (Natural Language Processing) phase

Not just annoations, but annotations that have URIs from the Ontology provided

If you have URIs for everything, then nothing stops us from generating RDF

If we have RDF then we need to store it and merge it with the one previously available

Instance Generator

KIM platform April 2010

Generate URIs for the new entities and relations

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Semantic Repository - Instance URI

Gazetteer

Jape rules

OrthoMatcher

Instance generator

Instance URI

Found

OWLIM

Some entities are identified directly and

we know their instance URI and class in

advance

Benefiting form the work of the gazetteer and using rules more entities are detected

Instances of the same entity are merged: ex:

“Apple” and “Apple Inc.”

Add/Merge RDF

An algorithm is used to generate URIs.

RDF generatio

n

Yes

No

KIM platform April 2010

Ontotext predefined

kb

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Document Repository

Document

Full Text Index

Lucene

Storage

File Store

April 2010KIM platform

Other index

service

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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

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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

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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 April 2010 #15

Thank you!

April 2010 #16KIM platform

Questions?