Semantic Organization/Enterprise Vision

WIKT Bratislava, 28. november 2006 1

Semantic Organization/Enterprise VisionSemantic Organization/Enterprise Vision

Michal Laclavik, Ladislav Hluchy, Marian Babik, Zoltan Balogh, Ivana Budinska, Martin Seleng

Ústav Informatiky SAV

WIKT Bratislava, 28. november 2006 2

Outline

• Motivation• Processing of Information for Knowledge

Management • Organizational Memories• Semantic based Workflows and Services

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Knowledge Management

• Knowledge is key asset• Employees are coming and going• Needs for managing assets

• Knowledge Management (KM) is the process through which organizations generate value from their intellectual and knowledge-based assets (Source: CIO Magazine)

Characters

Data

Information

Knowledge

Actions

Syntax

Semantics

Pragmatics

Reasoning

(Bergman, 2002, Experience Management)

• Data: 20• Information: 20 oC• Knowledge: room temperature

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Vision of Semantic Web

• The Semantic Web is a mesh of information linked up in such a way as to be easily processable by machines, on a global scale. You can think of it as being an efficient way of representing data on the World Wide Web, or as a globally linked database.

(Source: http://infomesh.net/2001/swintro/ - The Semantic Web: An Introduction)

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Vision of Semantic Organization/Enterprise

• To have all information and data available for computer processing via Semantic Web technology (XML, RDF, OWL)

• Ontology translation not so important on one domain …

• Document and Text analysis results using Semantic annotation are part of this

• Conversion or mapping of RDBMS to XML/RDF/OWL• Active Providing of Information and Knowledge• Workflows of Tasks and Services

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Ontology based Text Annotation - OnTeA

• Detecting Meta data from Text• Preparing improved structured

data for later computer processing• Structured data are based on application ontology

model

Location

Town

isa

Country

isa

skillSQL

Skill

io

skillXML

io

skillPHP

io

JobType

jtPermanent

iohasCountry*

locNewYork

io

locUS

io

JobOffer

job_1_html

io

hasRequirements hasRequirements hasType

hasLocation

hasRequirementshasLocation=>+

Text

Set of Detected individuals

Creating Individual

Individual with properties

Reg. Exp.Ontology

Ontology class

Inference

DomainOntology

Ontology Individual

Ontology annotation

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Objective: Assist user to provide information in context

EMBET: User Assistant

• Collaboration among Users• Knowledge Sharing and Recommendation• Proactive Knowledge Provision• Reuse of Knowledge: Notes, Workflows, Results

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EMBET: Achievements• Software with following

functionality– User Problem description– Displaying Knowledge– Adding Knowledge – Knowledge Reuse– Permanent Notes Storage– Voting on Notes

• EMBET architecture: Core, GUI• Context detection • Context Matching to display

information & knowledge • Plain text analysis using Advanced

Semantic Annotation Algorithms – OnTeA

• Theory of different context matching algorithms

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Presentation of Ontology based Knowledge

• Ontology Tree– Browse window

• Graph– Good for further research

• XSL Transformation– RDF/OWL => Plain XML +

XSL => HTML– Infrastructure to receive plain

XML using XML-RPC

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Similarity Measures

• OntoSim• EMBET• Pellucid

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NAZOU Project

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ACoMA: Emails

• Each organization• Context sensitive• Action Oriented

Email Server

ACoMA Automated Content-

based Message Annotator

Email Client

EMBET Experience

Management based on Text Notes

OM Organizačná pamäť

Email

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Conclusion: Processing of Information for Knowledge Management

• Information context detection• User context detection• Information versus user context matching• Displaying the knowledge

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Knowledge Bases

• Pellucid• NAZOU• K Wf Grid

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PELLUCID

USERS

Pellucid – user interaction

CONTEXT&

ACTIONS

ACTIVEHINTS USER

FEEDBACK

Workflow Tracking/Management System

Pellucid“core”

Pellucid interface

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Knowledge Analysis

• Analysis of Workflows• Case-base Reasoning• Prediction

KAA WS

KAA-Gemini

KAA WXA

Get Workflow ID

Case Base (Memory)

Send Workflow ID & Invoke

Gemini

Retrieve

Workflow

Events

XML Wf DB

Transform to

KA

S and S

tore

Retrieve Cases

Scheduler

AAB

Estimation

Estimation

UAA

Send Workflows &

Results

Workflow History

Portlet (Portal)

Send Data

Result

ElapsedTime

elapsedTime Integer

isa

BinaryResult

hasValue Boolean

isa

owl:Thing

isa

Resource

isa Context

isaCase

isa

WsDeployment

hasURI String

isa

WS.Operation_InvocationContext

hasInputParameter Any*

hasInputResource Instance* Resource

hasWsDeployment Instance WsDeployment

isa

hasWsDeployment

hasInputResource*

hasResult* hasContext*

WeightedFeature

owl:Class

io

io

owl:Thing

io

Profile

hasWeightedFeature Instance* WeightedFeature

isContextConcept Instance owl:Class

isResultConcept Instance owl:Class

io

isa

isa

hasWeightedFeature*

isContextConcept isResultConcept

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K Wf Grid Project

• Semantic Service Oriented Architecture• Workflows of Web Services

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Conclusion

• Semantic Organization/Enterprise Vision• Processing of Info and Knowledge• Knowledge Bases• Semantic Service Oriented Architectures