http:// 1 building semantic applications paul warren [email protected]
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1http://www.sekt-project.com
Building Semantic ApplicationsBuilding Semantic Applications
Paul WarrenPaul [email protected]@bt.com
2http://www.sekt-project.com
the need for semantics
the SEKT solution
SEKT partners
architecture
applications
semantic knowledge management
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The need for semantics
• Knowledge workers overwhelmed by info• from intranets, emails, newslines …• but still lack vital information
• 80% of corporate data is unstructured• including key business decisions• subject to regulation, e.g. SOX
• Companies suffer from• decisions made under incomplete knowledge • threat of compliance failure
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We need information …
• Identified by semantics, not just keywords• precise and complete
• Selected by their interests & task context• defined semantically
• From heterogeneous sources, • accessed uniformally
• Presented meaningfully• and appropriately for the user
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In the right form
• Integrated• into the desktop applications
• Seamless• proactive, not reactive
• Depending on context• interests and current activities• mobile phone, PDA, blackberry
• With appropriate visualisation• relation between documents & concepts
• And expressed in natural language• where this aids understanding• multilingual
the need for semantics
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Semantic knowledge management
Semantic knowledge management classifies, finds, distributes, shares and uses
knowledge based on meaning not the particular words used to
represent meaning.
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In three words
Semantic knowledge management classifies, finds, distributes, shares and uses
knowledge based on meaning not the particular words used to
represent meaning.
semantic knowledge management
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Words and meanings
same word, different meanings
different words, same meaningdisability legislation
equal opportunity laws
different words, related meaning
trade unioncharitycompany
organisation
Jaguar
semantic knowledge management
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The SEKT solution
• Finding and sharing knowledge through its semantics• for improved precision and recall• for the user’s interests and current context
• Extracting knowledge• in a meaningful way, without duplication• to create a knowledgebase
• Reasoning about knowledge• Displaying all relevant knowledge
• information-centric, not document-centric
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Extracting the semantics
• Information extraction• using human language technology
• Knowledge discovery• machine learning and statistical methods
• Existing metadata, e.g. database schemas• mapping and merging
the SEKT solution
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Number
Thing
industries
manufacturingindustries
serviceindustries
companies
non E.U. companiespublic
companiesprivate companies E.U. companies
companies on New York Stock Exchange
companies on London Stock Exchange
sells to
operates inemployee
size
Ontology modellingthe SEKT solution
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SEKT applicationsapplications
intelligent decision support in the legal sector – helping
newly appointed judges
knowledge management for IT consultants
intelligent content management
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Intelligent content management
applications
• based on semantics… not text
• providing one view to heterogeneous knowledge
• classifying semantically• extracting and
presenting• visually and in natural
language
Searching, alerting, sharing …
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Knowledge managementapplications
sharing and reusing knowledge across a
global team …
… building on Siemens knowledgemotion®
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Intelligent decision supportapplications
a database of frequently asked questions – using
semantic distance to identify questions and answers
with justification drawn from comprehensive legal databases
combining formal and informal knowledge
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More applications …
• portals
• intelligent customer contact
• business intelligence
• supply chain management
• semantic desktop
• enhancing collaboration• ….
applications
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SEKT architecturearchitecture
knowledge engineering time application run-time
persistent data
Device-Independent Web Application Framework
Applications, e.g. search & browse, legal decision support
SEKT Integrated Platform(SIP)
Knowledge engineering environment (OntoStudio)
Ontology, annotation and mapping editors
Ontology management and reasoning(KAON2)
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Run-time
Supporting users in their knowledge work
• generic applications:• search & browse• knowledge sharing• knowledge alerting
• specific applications• legal decision-making• business intelligence, CRM, collaboration …
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Knowledge engineering
Enriching information with meaning
• Creating and editing ontologies• with automatic assistance
• Annotating documents• with respect to an ontology• editing automatically-created annotations
• Creating ontology mappings• editing automatically-created mappings
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Applications and training
Intelligent content management http://www.bt.com
Knowledge managementhttp://www.empolis.comhttp://www.sbs.siemens.com
Legal decision supporthttp://www.isoco.comhttp://www.uab.es
Traininghttp://www.keapro.net
SEKT partners
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Tools
End-user tools
http://www.bt.comvisualisation ~ iSOCOprofiling ~ Jozef Stefan Institutelanguage generation ~ University of Sheffield
Editor & annotation tools
http://www.ontoprise.de
SEKT partners
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Enabling componentsevOWLution - managing & evolving knowledge modelsText2Onto – ontology learning from text
http://www.aifb.uni-karlsruhe.de
GATE information extraction
http://nlp.shef.ac.uk
TextGarden knowledge discovery
http://www.ijs.si
PROTON – knowledgebaseKIM – semantic annotation & retrieval
http://www.ontotext.com
SEKT partners
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Applications & systems integration
Knowledge management• Empolis GmbH - Ralph Traphöner
[email protected]• Siemens Business Service – Dirk Ramhorst
Legal decision support • iSOCO – Richard Benjamins
[email protected] • UAB Institute of Law and Technology – Pompeu Casanovas
Intelligent content management• British Telecommunications Plc - John Davies
SEKT partners
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Tools & services
knowledge models & knowledge software
• Ontoprise [email protected]
• Ontotext Lab, [email protected]
training
• kea-pro [email protected]
SEKT partners
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Research partners• AIFB, University of Karlsruhe
Rudi Studer - [email protected]
• Department of Computer Science, University of SheffieldHamish Cunningham - [email protected]
• Dept. of Intelligent Systems, Jozef Stefan InstituteMarko Grobelnik - [email protected]
• AI Department, Vrije Universiteit AmsterdamFrank van Harmelen - [email protected]
• Institute of Computer Science, University of InnsbruckDieter Fensel – [email protected]
SEKT partners