SlideShare ist ein Scribd-Unternehmen logo
1 von 17
strukt -
A Pattern System for
Integrating Individual and
Organizational Knowledge
Work
Ansgar Scherp
Daniel Eißing
Steffen Staab
scherp@uni-koblenz.de
ISWC, Bonn, Germany
October 26, 2011
Ansgar Scherp – Integrating individual and organizational knowledge work 2 von 17
Scenario: Architectural Office
Ansgar Scherp – Integrating individual and organizational knowledge work 3 von 17
Goal and Approach
 Goal
 Software system for planning weakly structured
workflows and
 integrating them with structured workflows
 Solution approach
 Integration by means of a core ontology
Ansgar Scherp – Integrating individual and organizational knowledge work 4 von 17
Organizational Knowledge Work
 Knowledge from the point of view of the organization
 Business process modeling [Stahlknecht & Hasenkamp’04]
 Goal: make implicit procedural knowledge explicit
 Optimizing processes by means of analysis and
planning
 Business process [Hammer & Champy ‘03], [Abts & Mülder’11]
 Targeted chain of organizational activities
 Defined start/end, measurable input/output
 Added value to the customers
 Structured workflows
Ansgar Scherp – Integrating individual and organizational knowledge work 5 von 17
Individual Knowledge Work
 Knowledge from the point of view of the worker
 Characteristics [Schwarz et al. 2001]
 Dynamic (ad-hoc), complexity, self-organization,
interdisciplinary and communication-oriented,
intervals between repetitions
 Not ammenable to explicit planning
 Repeating elements that are worth to capture
 Weakly structured workflows
Ansgar Scherp – Integrating individual and organizational knowledge work 6 von 17
Workflow Models and Instances
Workflow model defines
 Activities, alternatives, and participating roles
 Workflow instantiation is the execution under
 Consideration of current workflow parameters
[Schwarz et al. 2001]
Ansgar Scherp – Integrating individual and organizational knowledge work 7 von 17
Requirements
a) Weakly structured
workflows (WsW)
b) Structured Workflows
(SW)
c) Integration of WsW
and SW
d) Models & Instances
e) Tools & Planning of
WsW
(1) Weakly Structured
Workflow Pattern
(2) Structured Workflow &
(3) Transition Pattern
(4) Workflow Integration
Pattern
(5) Workflow Model Pattern
(6) Condition Pattern
(7) Resource Pattern
(8) Status Pattern
(9) Scheduling Pattern
Ansgar Scherp – Integrating individual and organizational knowledge work 8 von 17
Challenges
 Adaptation of workflow instances at runtime
 Without the need to adapt the workflow model
 Abstract workflow instances to workflow models
 Put workflow instances into context
 Reification
 Descriptions & Situations (DnS) pattern
provided by DOLCE
 Defines context by means of concepts (roles)
Ansgar Scherp – Integrating individual and organizational knowledge work 9 von 17
DnS Example: Building Application
Description defines roles
 StructuralEngineer
 ComputeStatics
 CreateGroundplan
 …
 Situation defines objects
tmueller-1 : NaturalPerson
a-compute-statics-1 : Action
a-create-groundplan-1 : Action
…
 DnS pattern
 Clear separation of workflow
models and workflow instances
 Applicable to structured workflows
and weakly structured workflows
 Ontology design patterns of base on DnS
Source: info-bauntrag.de
classifies
Ansgar Scherp – Integrating individual and organizational knowledge work 10 von 17
 Execution of „Planning a building construction“
Example: Structured Workflow
 Structured Workflow Pattern + Transition Pattern
Prepare
Application
File
Application …
Ansgar Scherp – Integrating individual and organizational knowledge work 11 von 17
Social roles of
the entities
Entities of the
real world
Example: Structured Workflow
 Execution of „Planning a building construction“
 Structured Workflow Pattern + Transition Pattern
Ansgar Scherp – Integrating individual and organizational knowledge work 12 von 17
Example: Structured Workflow
 Integration with weakly structured workflow
 Workflow Integration Pattern
Ansgar Scherp – Integrating individual and organizational knowledge work 13 von 17
Example: Weakly Structured Workflow
 Activities for preparing a building application using the
Weakly Structured Workflow Pattern
Ansgar Scherp – Integrating individual and organizational knowledge work 14 von 17
Axiomatization in Description Logics
 Consistency checking at design time
Ansgar Scherp – Integrating individual and organizational knowledge work 15 von 17
Related Work of
Further: KBPI [Dalmaris et al. 2007], KMDL [Gronau et al. 2008],
sEPK + sBPMN [Hepp et al. 2006], and KMO [Holsapple u. Joshi 2004]
Ansgar Scherp – Integrating individual and organizational knowledge work 16 von 17
Prototype
Ansgar Scherp – Integrating individual and organizational knowledge work 17 von 17
Summary / Discussions
 Young Talent Award of the Knowledge
Management Group Karlsruhe, Germany
Thank you for your attention!
 Why not a more light-weight solution?
 Looking for a good solution, not minimalistic one
 Probably possible to do it more light-weight
 Is this really a pattern-based ontology?
 Pattern: generic solution to recurring problem
 Pattern system: set of patterns related to each
other and designed to be applied together

Weitere ähnliche Inhalte

Ähnlich wie strukt - A Pattern System for Integrating Individual and Organizational Knowledge Work

On the value of sampling and pruning for search-based software engineering
On the value of sampling and pruning for search-based software engineeringOn the value of sampling and pruning for search-based software engineering
On the value of sampling and pruning for search-based software engineeringJianfeng Chen
 
[2015/2016] RESEARCH in software engineering
[2015/2016] RESEARCH in software engineering[2015/2016] RESEARCH in software engineering
[2015/2016] RESEARCH in software engineeringIvano Malavolta
 
Being Agile with Scrum - koders.co
Being Agile with Scrum - koders.coBeing Agile with Scrum - koders.co
Being Agile with Scrum - koders.coEnder Aydin Orak
 
SCIENTIFIC WORKFLOW CLUSTERING BASED ON MOTIF DISCOVERY
SCIENTIFIC WORKFLOW CLUSTERING BASED ON MOTIF DISCOVERYSCIENTIFIC WORKFLOW CLUSTERING BASED ON MOTIF DISCOVERY
SCIENTIFIC WORKFLOW CLUSTERING BASED ON MOTIF DISCOVERYijcseit
 
Navigating Agile.pptx
Navigating Agile.pptxNavigating Agile.pptx
Navigating Agile.pptxNikRHassan1
 
SCIENTIFIC WORKFLOW CLUSTERING BASED ON MOTIF DISCOVERY
SCIENTIFIC WORKFLOW CLUSTERING BASED ON MOTIF DISCOVERYSCIENTIFIC WORKFLOW CLUSTERING BASED ON MOTIF DISCOVERY
SCIENTIFIC WORKFLOW CLUSTERING BASED ON MOTIF DISCOVERYijcseit
 
Business Use Case Diagrams The diagrams to divide the workflow as smaller uni...
Business Use Case Diagrams The diagrams to divide the workflow as smaller uni...Business Use Case Diagrams The diagrams to divide the workflow as smaller uni...
Business Use Case Diagrams The diagrams to divide the workflow as smaller uni...saman zaker
 
More than Code: Contributions in Scrum Software Engineering Teams
More than Code: Contributions in Scrum Software Engineering TeamsMore than Code: Contributions in Scrum Software Engineering Teams
More than Code: Contributions in Scrum Software Engineering TeamsChristoph Matthies
 
Lucidchart Connect Seattle: Why I Love Business Process & How I Fell in Love ...
Lucidchart Connect Seattle: Why I Love Business Process & How I Fell in Love ...Lucidchart Connect Seattle: Why I Love Business Process & How I Fell in Love ...
Lucidchart Connect Seattle: Why I Love Business Process & How I Fell in Love ...Lucidchart
 
Contemporary Software Engineering Practices Together With Enterprise
Contemporary Software Engineering Practices Together With EnterpriseContemporary Software Engineering Practices Together With Enterprise
Contemporary Software Engineering Practices Together With EnterpriseKenan Sevindik
 
Methods To Leverage SAP Workflow
Methods To Leverage SAP WorkflowMethods To Leverage SAP Workflow
Methods To Leverage SAP WorkflowEric Stajda
 
In search of the Higgs or What's wrong with SEMAT?
In search of the Higgs or What's wrong with SEMAT?In search of the Higgs or What's wrong with SEMAT?
In search of the Higgs or What's wrong with SEMAT?Rich Hilliard
 
Agile processpresentation-for-my-project-xxxxxxxx
Agile processpresentation-for-my-project-xxxxxxxxAgile processpresentation-for-my-project-xxxxxxxx
Agile processpresentation-for-my-project-xxxxxxxxRosario Poulraj
 
Overview of SDLC - Waterfall, Agile, and more
Overview of SDLC - Waterfall, Agile, and moreOverview of SDLC - Waterfall, Agile, and more
Overview of SDLC - Waterfall, Agile, and moreSteve Gladstone
 
01. Birta L. G., Arbez G. - Modelling and Simulation_ (2007).pdf
01. Birta L. G., Arbez G. - Modelling and Simulation_  (2007).pdf01. Birta L. G., Arbez G. - Modelling and Simulation_  (2007).pdf
01. Birta L. G., Arbez G. - Modelling and Simulation_ (2007).pdfAftaZani1
 
Scrum and ISO 9241:210 Interaction Design Process and User Stories
Scrum and ISO 9241:210 Interaction Design Process and User StoriesScrum and ISO 9241:210 Interaction Design Process and User Stories
Scrum and ISO 9241:210 Interaction Design Process and User StoriesKhalid Md Saifuddin
 

Ähnlich wie strukt - A Pattern System for Integrating Individual and Organizational Knowledge Work (20)

On the value of sampling and pruning for search-based software engineering
On the value of sampling and pruning for search-based software engineeringOn the value of sampling and pruning for search-based software engineering
On the value of sampling and pruning for search-based software engineering
 
[2015/2016] RESEARCH in software engineering
[2015/2016] RESEARCH in software engineering[2015/2016] RESEARCH in software engineering
[2015/2016] RESEARCH in software engineering
 
GKumarAICS
GKumarAICSGKumarAICS
GKumarAICS
 
Being Agile with Scrum - koders.co
Being Agile with Scrum - koders.coBeing Agile with Scrum - koders.co
Being Agile with Scrum - koders.co
 
SCIENTIFIC WORKFLOW CLUSTERING BASED ON MOTIF DISCOVERY
SCIENTIFIC WORKFLOW CLUSTERING BASED ON MOTIF DISCOVERYSCIENTIFIC WORKFLOW CLUSTERING BASED ON MOTIF DISCOVERY
SCIENTIFIC WORKFLOW CLUSTERING BASED ON MOTIF DISCOVERY
 
Navigating Agile.pptx
Navigating Agile.pptxNavigating Agile.pptx
Navigating Agile.pptx
 
SCIENTIFIC WORKFLOW CLUSTERING BASED ON MOTIF DISCOVERY
SCIENTIFIC WORKFLOW CLUSTERING BASED ON MOTIF DISCOVERYSCIENTIFIC WORKFLOW CLUSTERING BASED ON MOTIF DISCOVERY
SCIENTIFIC WORKFLOW CLUSTERING BASED ON MOTIF DISCOVERY
 
Business Use Case Diagrams The diagrams to divide the workflow as smaller uni...
Business Use Case Diagrams The diagrams to divide the workflow as smaller uni...Business Use Case Diagrams The diagrams to divide the workflow as smaller uni...
Business Use Case Diagrams The diagrams to divide the workflow as smaller uni...
 
More than Code: Contributions in Scrum Software Engineering Teams
More than Code: Contributions in Scrum Software Engineering TeamsMore than Code: Contributions in Scrum Software Engineering Teams
More than Code: Contributions in Scrum Software Engineering Teams
 
Lucidchart Connect Seattle: Why I Love Business Process & How I Fell in Love ...
Lucidchart Connect Seattle: Why I Love Business Process & How I Fell in Love ...Lucidchart Connect Seattle: Why I Love Business Process & How I Fell in Love ...
Lucidchart Connect Seattle: Why I Love Business Process & How I Fell in Love ...
 
Contemporary Software Engineering Practices Together With Enterprise
Contemporary Software Engineering Practices Together With EnterpriseContemporary Software Engineering Practices Together With Enterprise
Contemporary Software Engineering Practices Together With Enterprise
 
Methods To Leverage SAP Workflow
Methods To Leverage SAP WorkflowMethods To Leverage SAP Workflow
Methods To Leverage SAP Workflow
 
In search of the Higgs or What's wrong with SEMAT?
In search of the Higgs or What's wrong with SEMAT?In search of the Higgs or What's wrong with SEMAT?
In search of the Higgs or What's wrong with SEMAT?
 
Paper review
Paper reviewPaper review
Paper review
 
Kanban VS Scrum
Kanban VS ScrumKanban VS Scrum
Kanban VS Scrum
 
Agile processpresentation-for-my-project-xxxxxxxx
Agile processpresentation-for-my-project-xxxxxxxxAgile processpresentation-for-my-project-xxxxxxxx
Agile processpresentation-for-my-project-xxxxxxxx
 
Overview of SDLC - Waterfall, Agile, and more
Overview of SDLC - Waterfall, Agile, and moreOverview of SDLC - Waterfall, Agile, and more
Overview of SDLC - Waterfall, Agile, and more
 
01. Birta L. G., Arbez G. - Modelling and Simulation_ (2007).pdf
01. Birta L. G., Arbez G. - Modelling and Simulation_  (2007).pdf01. Birta L. G., Arbez G. - Modelling and Simulation_  (2007).pdf
01. Birta L. G., Arbez G. - Modelling and Simulation_ (2007).pdf
 
Scrum and ISO 9241:210 Interaction Design Process and User Stories
Scrum and ISO 9241:210 Interaction Design Process and User StoriesScrum and ISO 9241:210 Interaction Design Process and User Stories
Scrum and ISO 9241:210 Interaction Design Process and User Stories
 
Kanban Overview
Kanban OverviewKanban Overview
Kanban Overview
 

Mehr von Ansgar Scherp

Analysis of GraphSum's Attention Weights to Improve the Explainability of Mul...
Analysis of GraphSum's Attention Weights to Improve the Explainability of Mul...Analysis of GraphSum's Attention Weights to Improve the Explainability of Mul...
Analysis of GraphSum's Attention Weights to Improve the Explainability of Mul...Ansgar Scherp
 
STEREO: A Pipeline for Extracting Experiment Statistics, Conditions, and Topi...
STEREO: A Pipeline for Extracting Experiment Statistics, Conditions, and Topi...STEREO: A Pipeline for Extracting Experiment Statistics, Conditions, and Topi...
STEREO: A Pipeline for Extracting Experiment Statistics, Conditions, and Topi...Ansgar Scherp
 
Text Localization in Scientific Figures using Fully Convolutional Neural Netw...
Text Localization in Scientific Figures using Fully Convolutional Neural Netw...Text Localization in Scientific Figures using Fully Convolutional Neural Netw...
Text Localization in Scientific Figures using Fully Convolutional Neural Netw...Ansgar Scherp
 
A Comparison of Approaches for Automated Text Extraction from Scholarly Figures
A Comparison of Approaches for Automated Text Extraction from Scholarly FiguresA Comparison of Approaches for Automated Text Extraction from Scholarly Figures
A Comparison of Approaches for Automated Text Extraction from Scholarly FiguresAnsgar Scherp
 
About Multimedia Presentation Generation and Multimedia Metadata: From Synthe...
About Multimedia Presentation Generation and Multimedia Metadata: From Synthe...About Multimedia Presentation Generation and Multimedia Metadata: From Synthe...
About Multimedia Presentation Generation and Multimedia Metadata: From Synthe...Ansgar Scherp
 
Mining and Managing Large-scale Linked Open Data
Mining and Managing Large-scale Linked Open DataMining and Managing Large-scale Linked Open Data
Mining and Managing Large-scale Linked Open DataAnsgar Scherp
 
Knowledge Discovery in Social Media and Scientific Digital Libraries
Knowledge Discovery in Social Media and Scientific Digital LibrariesKnowledge Discovery in Social Media and Scientific Digital Libraries
Knowledge Discovery in Social Media and Scientific Digital LibrariesAnsgar Scherp
 
A Comparison of Different Strategies for Automated Semantic Document Annotation
A Comparison of Different Strategies for Automated Semantic Document AnnotationA Comparison of Different Strategies for Automated Semantic Document Annotation
A Comparison of Different Strategies for Automated Semantic Document AnnotationAnsgar Scherp
 
Formalization and Preliminary Evaluation of a Pipeline for Text Extraction Fr...
Formalization and Preliminary Evaluation of a Pipeline for Text Extraction Fr...Formalization and Preliminary Evaluation of a Pipeline for Text Extraction Fr...
Formalization and Preliminary Evaluation of a Pipeline for Text Extraction Fr...Ansgar Scherp
 
A Framework for Iterative Signing of Graph Data on the Web
A Framework for Iterative Signing of Graph Data on the WebA Framework for Iterative Signing of Graph Data on the Web
A Framework for Iterative Signing of Graph Data on the WebAnsgar Scherp
 
Smart photo selection: interpret gaze as personal interest
Smart photo selection: interpret gaze as personal interestSmart photo selection: interpret gaze as personal interest
Smart photo selection: interpret gaze as personal interestAnsgar Scherp
 
Events in Multimedia - Theory, Model, Application
Events in Multimedia - Theory, Model, ApplicationEvents in Multimedia - Theory, Model, Application
Events in Multimedia - Theory, Model, ApplicationAnsgar Scherp
 
Can you see it? Annotating Image Regions based on Users' Gaze Information
Can you see it? Annotating Image Regions based on Users' Gaze InformationCan you see it? Annotating Image Regions based on Users' Gaze Information
Can you see it? Annotating Image Regions based on Users' Gaze InformationAnsgar Scherp
 
Linked open data - how to juggle with more than a billion triples
Linked open data - how to juggle with more than a billion triplesLinked open data - how to juggle with more than a billion triples
Linked open data - how to juggle with more than a billion triplesAnsgar Scherp
 
SchemEX -- Building an Index for Linked Open Data
SchemEX -- Building an Index for Linked Open DataSchemEX -- Building an Index for Linked Open Data
SchemEX -- Building an Index for Linked Open DataAnsgar Scherp
 
SchemEX -- Building an Index for Linked Open Data
SchemEX -- Building an Index for Linked Open DataSchemEX -- Building an Index for Linked Open Data
SchemEX -- Building an Index for Linked Open DataAnsgar Scherp
 
A Model of Events for Integrating Event-based Information in Complex Socio-te...
A Model of Events for Integrating Event-based Information in Complex Socio-te...A Model of Events for Integrating Event-based Information in Complex Socio-te...
A Model of Events for Integrating Event-based Information in Complex Socio-te...Ansgar Scherp
 
SchemEX - Creating the Yellow Pages for the Linked Open Data Cloud
SchemEX - Creating the Yellow Pages for the Linked Open Data CloudSchemEX - Creating the Yellow Pages for the Linked Open Data Cloud
SchemEX - Creating the Yellow Pages for the Linked Open Data CloudAnsgar Scherp
 
Linked Open Data (Entwurfsprinzipien und Muster für vernetzte Daten)
Linked Open Data (Entwurfsprinzipien und Muster für vernetzte Daten)Linked Open Data (Entwurfsprinzipien und Muster für vernetzte Daten)
Linked Open Data (Entwurfsprinzipien und Muster für vernetzte Daten)Ansgar Scherp
 

Mehr von Ansgar Scherp (19)

Analysis of GraphSum's Attention Weights to Improve the Explainability of Mul...
Analysis of GraphSum's Attention Weights to Improve the Explainability of Mul...Analysis of GraphSum's Attention Weights to Improve the Explainability of Mul...
Analysis of GraphSum's Attention Weights to Improve the Explainability of Mul...
 
STEREO: A Pipeline for Extracting Experiment Statistics, Conditions, and Topi...
STEREO: A Pipeline for Extracting Experiment Statistics, Conditions, and Topi...STEREO: A Pipeline for Extracting Experiment Statistics, Conditions, and Topi...
STEREO: A Pipeline for Extracting Experiment Statistics, Conditions, and Topi...
 
Text Localization in Scientific Figures using Fully Convolutional Neural Netw...
Text Localization in Scientific Figures using Fully Convolutional Neural Netw...Text Localization in Scientific Figures using Fully Convolutional Neural Netw...
Text Localization in Scientific Figures using Fully Convolutional Neural Netw...
 
A Comparison of Approaches for Automated Text Extraction from Scholarly Figures
A Comparison of Approaches for Automated Text Extraction from Scholarly FiguresA Comparison of Approaches for Automated Text Extraction from Scholarly Figures
A Comparison of Approaches for Automated Text Extraction from Scholarly Figures
 
About Multimedia Presentation Generation and Multimedia Metadata: From Synthe...
About Multimedia Presentation Generation and Multimedia Metadata: From Synthe...About Multimedia Presentation Generation and Multimedia Metadata: From Synthe...
About Multimedia Presentation Generation and Multimedia Metadata: From Synthe...
 
Mining and Managing Large-scale Linked Open Data
Mining and Managing Large-scale Linked Open DataMining and Managing Large-scale Linked Open Data
Mining and Managing Large-scale Linked Open Data
 
Knowledge Discovery in Social Media and Scientific Digital Libraries
Knowledge Discovery in Social Media and Scientific Digital LibrariesKnowledge Discovery in Social Media and Scientific Digital Libraries
Knowledge Discovery in Social Media and Scientific Digital Libraries
 
A Comparison of Different Strategies for Automated Semantic Document Annotation
A Comparison of Different Strategies for Automated Semantic Document AnnotationA Comparison of Different Strategies for Automated Semantic Document Annotation
A Comparison of Different Strategies for Automated Semantic Document Annotation
 
Formalization and Preliminary Evaluation of a Pipeline for Text Extraction Fr...
Formalization and Preliminary Evaluation of a Pipeline for Text Extraction Fr...Formalization and Preliminary Evaluation of a Pipeline for Text Extraction Fr...
Formalization and Preliminary Evaluation of a Pipeline for Text Extraction Fr...
 
A Framework for Iterative Signing of Graph Data on the Web
A Framework for Iterative Signing of Graph Data on the WebA Framework for Iterative Signing of Graph Data on the Web
A Framework for Iterative Signing of Graph Data on the Web
 
Smart photo selection: interpret gaze as personal interest
Smart photo selection: interpret gaze as personal interestSmart photo selection: interpret gaze as personal interest
Smart photo selection: interpret gaze as personal interest
 
Events in Multimedia - Theory, Model, Application
Events in Multimedia - Theory, Model, ApplicationEvents in Multimedia - Theory, Model, Application
Events in Multimedia - Theory, Model, Application
 
Can you see it? Annotating Image Regions based on Users' Gaze Information
Can you see it? Annotating Image Regions based on Users' Gaze InformationCan you see it? Annotating Image Regions based on Users' Gaze Information
Can you see it? Annotating Image Regions based on Users' Gaze Information
 
Linked open data - how to juggle with more than a billion triples
Linked open data - how to juggle with more than a billion triplesLinked open data - how to juggle with more than a billion triples
Linked open data - how to juggle with more than a billion triples
 
SchemEX -- Building an Index for Linked Open Data
SchemEX -- Building an Index for Linked Open DataSchemEX -- Building an Index for Linked Open Data
SchemEX -- Building an Index for Linked Open Data
 
SchemEX -- Building an Index for Linked Open Data
SchemEX -- Building an Index for Linked Open DataSchemEX -- Building an Index for Linked Open Data
SchemEX -- Building an Index for Linked Open Data
 
A Model of Events for Integrating Event-based Information in Complex Socio-te...
A Model of Events for Integrating Event-based Information in Complex Socio-te...A Model of Events for Integrating Event-based Information in Complex Socio-te...
A Model of Events for Integrating Event-based Information in Complex Socio-te...
 
SchemEX - Creating the Yellow Pages for the Linked Open Data Cloud
SchemEX - Creating the Yellow Pages for the Linked Open Data CloudSchemEX - Creating the Yellow Pages for the Linked Open Data Cloud
SchemEX - Creating the Yellow Pages for the Linked Open Data Cloud
 
Linked Open Data (Entwurfsprinzipien und Muster für vernetzte Daten)
Linked Open Data (Entwurfsprinzipien und Muster für vernetzte Daten)Linked Open Data (Entwurfsprinzipien und Muster für vernetzte Daten)
Linked Open Data (Entwurfsprinzipien und Muster für vernetzte Daten)
 

Kürzlich hochgeladen

PB Project 1: Exploring Your Personal Brand
PB Project 1: Exploring Your Personal BrandPB Project 1: Exploring Your Personal Brand
PB Project 1: Exploring Your Personal BrandSharisaBethune
 
Appkodes Tinder Clone Script with Customisable Solutions.pptx
Appkodes Tinder Clone Script with Customisable Solutions.pptxAppkodes Tinder Clone Script with Customisable Solutions.pptx
Appkodes Tinder Clone Script with Customisable Solutions.pptxappkodes
 
TriStar Gold Corporate Presentation - April 2024
TriStar Gold Corporate Presentation - April 2024TriStar Gold Corporate Presentation - April 2024
TriStar Gold Corporate Presentation - April 2024Adnet Communications
 
Darshan Hiranandani [News About Next CEO].pdf
Darshan Hiranandani [News About Next CEO].pdfDarshan Hiranandani [News About Next CEO].pdf
Darshan Hiranandani [News About Next CEO].pdfShashank Mehta
 
Financial-Statement-Analysis-of-Coca-cola-Company.pptx
Financial-Statement-Analysis-of-Coca-cola-Company.pptxFinancial-Statement-Analysis-of-Coca-cola-Company.pptx
Financial-Statement-Analysis-of-Coca-cola-Company.pptxsaniyaimamuddin
 
Traction part 2 - EOS Model JAX Bridges.
Traction part 2 - EOS Model JAX Bridges.Traction part 2 - EOS Model JAX Bridges.
Traction part 2 - EOS Model JAX Bridges.Anamaria Contreras
 
Call Girls Contact Number Andheri 9920874524
Call Girls Contact Number Andheri 9920874524Call Girls Contact Number Andheri 9920874524
Call Girls Contact Number Andheri 9920874524najka9823
 
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City GurgaonCall Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaoncallgirls2057
 
8447779800, Low rate Call girls in Shivaji Enclave Delhi NCR
8447779800, Low rate Call girls in Shivaji Enclave Delhi NCR8447779800, Low rate Call girls in Shivaji Enclave Delhi NCR
8447779800, Low rate Call girls in Shivaji Enclave Delhi NCRashishs7044
 
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort ServiceCall US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Servicecallgirls2057
 
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCRashishs7044
 
Church Building Grants To Assist With New Construction, Additions, And Restor...
Church Building Grants To Assist With New Construction, Additions, And Restor...Church Building Grants To Assist With New Construction, Additions, And Restor...
Church Building Grants To Assist With New Construction, Additions, And Restor...Americas Got Grants
 
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCRashishs7044
 
MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?Olivia Kresic
 
International Business Environments and Operations 16th Global Edition test b...
International Business Environments and Operations 16th Global Edition test b...International Business Environments and Operations 16th Global Edition test b...
International Business Environments and Operations 16th Global Edition test b...ssuserf63bd7
 
Unlocking the Future: Explore Web 3.0 Workshop to Start Earning Today!
Unlocking the Future: Explore Web 3.0 Workshop to Start Earning Today!Unlocking the Future: Explore Web 3.0 Workshop to Start Earning Today!
Unlocking the Future: Explore Web 3.0 Workshop to Start Earning Today!Doge Mining Website
 
PSCC - Capability Statement Presentation
PSCC - Capability Statement PresentationPSCC - Capability Statement Presentation
PSCC - Capability Statement PresentationAnamaria Contreras
 

Kürzlich hochgeladen (20)

PB Project 1: Exploring Your Personal Brand
PB Project 1: Exploring Your Personal BrandPB Project 1: Exploring Your Personal Brand
PB Project 1: Exploring Your Personal Brand
 
Appkodes Tinder Clone Script with Customisable Solutions.pptx
Appkodes Tinder Clone Script with Customisable Solutions.pptxAppkodes Tinder Clone Script with Customisable Solutions.pptx
Appkodes Tinder Clone Script with Customisable Solutions.pptx
 
TriStar Gold Corporate Presentation - April 2024
TriStar Gold Corporate Presentation - April 2024TriStar Gold Corporate Presentation - April 2024
TriStar Gold Corporate Presentation - April 2024
 
Darshan Hiranandani [News About Next CEO].pdf
Darshan Hiranandani [News About Next CEO].pdfDarshan Hiranandani [News About Next CEO].pdf
Darshan Hiranandani [News About Next CEO].pdf
 
Financial-Statement-Analysis-of-Coca-cola-Company.pptx
Financial-Statement-Analysis-of-Coca-cola-Company.pptxFinancial-Statement-Analysis-of-Coca-cola-Company.pptx
Financial-Statement-Analysis-of-Coca-cola-Company.pptx
 
Enjoy ➥8448380779▻ Call Girls In Sector 18 Noida Escorts Delhi NCR
Enjoy ➥8448380779▻ Call Girls In Sector 18 Noida Escorts Delhi NCREnjoy ➥8448380779▻ Call Girls In Sector 18 Noida Escorts Delhi NCR
Enjoy ➥8448380779▻ Call Girls In Sector 18 Noida Escorts Delhi NCR
 
Traction part 2 - EOS Model JAX Bridges.
Traction part 2 - EOS Model JAX Bridges.Traction part 2 - EOS Model JAX Bridges.
Traction part 2 - EOS Model JAX Bridges.
 
Call Girls Contact Number Andheri 9920874524
Call Girls Contact Number Andheri 9920874524Call Girls Contact Number Andheri 9920874524
Call Girls Contact Number Andheri 9920874524
 
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City GurgaonCall Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaon
 
8447779800, Low rate Call girls in Shivaji Enclave Delhi NCR
8447779800, Low rate Call girls in Shivaji Enclave Delhi NCR8447779800, Low rate Call girls in Shivaji Enclave Delhi NCR
8447779800, Low rate Call girls in Shivaji Enclave Delhi NCR
 
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort ServiceCall US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
 
No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...
No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...
No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...
 
Japan IT Week 2024 Brochure by 47Billion (English)
Japan IT Week 2024 Brochure by 47Billion (English)Japan IT Week 2024 Brochure by 47Billion (English)
Japan IT Week 2024 Brochure by 47Billion (English)
 
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
 
Church Building Grants To Assist With New Construction, Additions, And Restor...
Church Building Grants To Assist With New Construction, Additions, And Restor...Church Building Grants To Assist With New Construction, Additions, And Restor...
Church Building Grants To Assist With New Construction, Additions, And Restor...
 
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
 
MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?
 
International Business Environments and Operations 16th Global Edition test b...
International Business Environments and Operations 16th Global Edition test b...International Business Environments and Operations 16th Global Edition test b...
International Business Environments and Operations 16th Global Edition test b...
 
Unlocking the Future: Explore Web 3.0 Workshop to Start Earning Today!
Unlocking the Future: Explore Web 3.0 Workshop to Start Earning Today!Unlocking the Future: Explore Web 3.0 Workshop to Start Earning Today!
Unlocking the Future: Explore Web 3.0 Workshop to Start Earning Today!
 
PSCC - Capability Statement Presentation
PSCC - Capability Statement PresentationPSCC - Capability Statement Presentation
PSCC - Capability Statement Presentation
 

strukt - A Pattern System for Integrating Individual and Organizational Knowledge Work

  • 1. strukt - A Pattern System for Integrating Individual and Organizational Knowledge Work Ansgar Scherp Daniel Eißing Steffen Staab scherp@uni-koblenz.de ISWC, Bonn, Germany October 26, 2011
  • 2. Ansgar Scherp – Integrating individual and organizational knowledge work 2 von 17 Scenario: Architectural Office
  • 3. Ansgar Scherp – Integrating individual and organizational knowledge work 3 von 17 Goal and Approach  Goal  Software system for planning weakly structured workflows and  integrating them with structured workflows  Solution approach  Integration by means of a core ontology
  • 4. Ansgar Scherp – Integrating individual and organizational knowledge work 4 von 17 Organizational Knowledge Work  Knowledge from the point of view of the organization  Business process modeling [Stahlknecht & Hasenkamp’04]  Goal: make implicit procedural knowledge explicit  Optimizing processes by means of analysis and planning  Business process [Hammer & Champy ‘03], [Abts & Mülder’11]  Targeted chain of organizational activities  Defined start/end, measurable input/output  Added value to the customers  Structured workflows
  • 5. Ansgar Scherp – Integrating individual and organizational knowledge work 5 von 17 Individual Knowledge Work  Knowledge from the point of view of the worker  Characteristics [Schwarz et al. 2001]  Dynamic (ad-hoc), complexity, self-organization, interdisciplinary and communication-oriented, intervals between repetitions  Not ammenable to explicit planning  Repeating elements that are worth to capture  Weakly structured workflows
  • 6. Ansgar Scherp – Integrating individual and organizational knowledge work 6 von 17 Workflow Models and Instances Workflow model defines  Activities, alternatives, and participating roles  Workflow instantiation is the execution under  Consideration of current workflow parameters [Schwarz et al. 2001]
  • 7. Ansgar Scherp – Integrating individual and organizational knowledge work 7 von 17 Requirements a) Weakly structured workflows (WsW) b) Structured Workflows (SW) c) Integration of WsW and SW d) Models & Instances e) Tools & Planning of WsW (1) Weakly Structured Workflow Pattern (2) Structured Workflow & (3) Transition Pattern (4) Workflow Integration Pattern (5) Workflow Model Pattern (6) Condition Pattern (7) Resource Pattern (8) Status Pattern (9) Scheduling Pattern
  • 8. Ansgar Scherp – Integrating individual and organizational knowledge work 8 von 17 Challenges  Adaptation of workflow instances at runtime  Without the need to adapt the workflow model  Abstract workflow instances to workflow models  Put workflow instances into context  Reification  Descriptions & Situations (DnS) pattern provided by DOLCE  Defines context by means of concepts (roles)
  • 9. Ansgar Scherp – Integrating individual and organizational knowledge work 9 von 17 DnS Example: Building Application Description defines roles  StructuralEngineer  ComputeStatics  CreateGroundplan  …  Situation defines objects tmueller-1 : NaturalPerson a-compute-statics-1 : Action a-create-groundplan-1 : Action …  DnS pattern  Clear separation of workflow models and workflow instances  Applicable to structured workflows and weakly structured workflows  Ontology design patterns of base on DnS Source: info-bauntrag.de classifies
  • 10. Ansgar Scherp – Integrating individual and organizational knowledge work 10 von 17  Execution of „Planning a building construction“ Example: Structured Workflow  Structured Workflow Pattern + Transition Pattern Prepare Application File Application …
  • 11. Ansgar Scherp – Integrating individual and organizational knowledge work 11 von 17 Social roles of the entities Entities of the real world Example: Structured Workflow  Execution of „Planning a building construction“  Structured Workflow Pattern + Transition Pattern
  • 12. Ansgar Scherp – Integrating individual and organizational knowledge work 12 von 17 Example: Structured Workflow  Integration with weakly structured workflow  Workflow Integration Pattern
  • 13. Ansgar Scherp – Integrating individual and organizational knowledge work 13 von 17 Example: Weakly Structured Workflow  Activities for preparing a building application using the Weakly Structured Workflow Pattern
  • 14. Ansgar Scherp – Integrating individual and organizational knowledge work 14 von 17 Axiomatization in Description Logics  Consistency checking at design time
  • 15. Ansgar Scherp – Integrating individual and organizational knowledge work 15 von 17 Related Work of Further: KBPI [Dalmaris et al. 2007], KMDL [Gronau et al. 2008], sEPK + sBPMN [Hepp et al. 2006], and KMO [Holsapple u. Joshi 2004]
  • 16. Ansgar Scherp – Integrating individual and organizational knowledge work 16 von 17 Prototype
  • 17. Ansgar Scherp – Integrating individual and organizational knowledge work 17 von 17 Summary / Discussions  Young Talent Award of the Knowledge Management Group Karlsruhe, Germany Thank you for your attention!  Why not a more light-weight solution?  Looking for a good solution, not minimalistic one  Probably possible to do it more light-weight  Is this really a pattern-based ontology?  Pattern: generic solution to recurring problem  Pattern system: set of patterns related to each other and designed to be applied together