WICSA 2011 Tutorial T2: Architectural Knowledge Management with Semantic WikisRemco de Boer
Architectural knowledge is increasingly regarded as an organizational asset that should be managed. Consequently, the architecture community has been researching and developing tools and techniques to support architectural knowledge management. Ideally, such tools and techniques support management of formal, structured architectural knowledge (e.g., architectural decision graphs); documented, unstructured architectural knowledge (e.g., text) and even tacit architectural knowledge (e.g., community building). Semantic wikis are capable of delivering this type of support for managing architectural knowledge.
In this tutorial, the participants will learn how semantic wikis can be used to manage architectural knowledge. We will address the nature of architectural knowledge, and draw a distinction between tacit and explicit and between generic and organization-specific architectural knowledge. We will then look at what a semantic wiki is, and what its main differences and advantages are as compared to a regular wikis. This is followed by real life examples of different forms of architectural knowledge in Semantic MediaWiki, including models, principles, design decisions and their interrelations. We discuss the underlying knowledge model, how it can be registered in the wiki, and what types of inference can and cannot be performed from within the wiki. We finish the tutorial with an investigation of how a semantic architecture wiki can be linked to other repositories, such as modelling environments and even other semantic architecture wikis, thereby providing an effective means of reusing existing architectural knowledge.
WHITE PAPER discussion on:
Governance, Policy, Standards: Support for Complexity in the Real World
EU Research – Integrating our way out of silos: purposeful Federation
Complexity Science & Society; EU Calls: CAPS; FI Science/FInES/FIRE; Global Systems;
(also COSI‐ICT; DyM‐CS; FOCAS; FuturICT)
Society: people, purpose & complex behaviour modelling (simulation & dissimulation)
The Peoples' Toolkit: Computational Socio‐Geonomics/Metaloger (CSG/M)
ICT ‐ A new Kondratiev Shift: On Computable Society
SOCIO‐TECHNOLOGY
WICSA 2011 Tutorial T2: Architectural Knowledge Management with Semantic WikisRemco de Boer
Architectural knowledge is increasingly regarded as an organizational asset that should be managed. Consequently, the architecture community has been researching and developing tools and techniques to support architectural knowledge management. Ideally, such tools and techniques support management of formal, structured architectural knowledge (e.g., architectural decision graphs); documented, unstructured architectural knowledge (e.g., text) and even tacit architectural knowledge (e.g., community building). Semantic wikis are capable of delivering this type of support for managing architectural knowledge.
In this tutorial, the participants will learn how semantic wikis can be used to manage architectural knowledge. We will address the nature of architectural knowledge, and draw a distinction between tacit and explicit and between generic and organization-specific architectural knowledge. We will then look at what a semantic wiki is, and what its main differences and advantages are as compared to a regular wikis. This is followed by real life examples of different forms of architectural knowledge in Semantic MediaWiki, including models, principles, design decisions and their interrelations. We discuss the underlying knowledge model, how it can be registered in the wiki, and what types of inference can and cannot be performed from within the wiki. We finish the tutorial with an investigation of how a semantic architecture wiki can be linked to other repositories, such as modelling environments and even other semantic architecture wikis, thereby providing an effective means of reusing existing architectural knowledge.
WHITE PAPER discussion on:
Governance, Policy, Standards: Support for Complexity in the Real World
EU Research – Integrating our way out of silos: purposeful Federation
Complexity Science & Society; EU Calls: CAPS; FI Science/FInES/FIRE; Global Systems;
(also COSI‐ICT; DyM‐CS; FOCAS; FuturICT)
Society: people, purpose & complex behaviour modelling (simulation & dissimulation)
The Peoples' Toolkit: Computational Socio‐Geonomics/Metaloger (CSG/M)
ICT ‐ A new Kondratiev Shift: On Computable Society
SOCIO‐TECHNOLOGY
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Length: 30 minutes
Session Overview
-------------------------------------------
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2 1-research roadmap task force michele missikoff
1. FINES RESEARCH ROADMAP TASK FORCE
THE FRR 3.0 AND ITS MIGRATION ON THE WEB
MICHELE MISSIKOFF
FREE UNIVERSITY LUSPIO
ROME, ITALY
FInES Cluster
Brussels, 12 October, 2012
2. FInES Research Roadmap 2025 3.0
0 Credits
0 The approach
0 Synthetic summary of the FRR 3.0
FInES RR Migration on the Web (MoW)
0 Baseline: current FRR content (fragmentation in K units)
0 The 3 pillars:
0 Content
0 Governance
0 Technology
0 Conclusions
2
3. Purpose:
0 drawing the main lines for future research in the domain of FInES
Approach:
0 a balanced method of organised groups and casual contributions. Open
collaboration scheme: ActionPlanT, FIA Research Roadmap, ...
0 A Community process involving a large number of intra/extra FInES
stakeholders (more than 1.500 comments collected)
Methodology. We assumed:
0 a socio-economic marked discontinuity in the next decade (… forget
‘business as usual’!) and a long-term, highly innovative vision, 2025 as time
horizon
0 Qualitative Regression Method, reversing the ‘traditional’ RR approach,
defining first the kind of world we would like to live in, focusing on the
development model, production systems, and enterprises (then enterprise
systems and enabling technologies)
3
4. Credits
0 Editorial Board (EB ): restricted team of 4 people (Ensemble
CSA Project)
0 Scientific Advisory Group (SAG): a group of 15 invited
members
0 Expert Scientific Committee (ESC): committee of 15 selected
members (after a call)
0 FInES Cluster RR Coordination (CRRC): a restricted informal
group, in tight contact with the Commission.
0 FInES Cluster Projects and Domain Experts
(more info at: www.fines-cluster.eu)
4
5. 0 Roadmapping, seen essentially as a Knowledge Management
endeavour
0 Activities started drawing the picture of a ‘possible world’, in
which we would like to live (instead of a projection of current
technology)
0 Overall architecture organized in 4 FInES Knowledge Spaces:
(i) Socio-technical
(ii) Enterprises
(iii) Enterprise Systems
(iv) Enabling Technologies
••• 5
6. Socio-economic Space
Social requirements,
Impacts
Drivers
Enterprise
Inventive Cognitive Sensing Sustainable
Space
Humanistic Agile Community - Liquid Glocal
oriented
Enterprise Quality
Business Functions
requirements
RC1 RC2 RC3 RC4 RC5 RC6 RC7 RC8 RC9 FInES
Space
Enterprise Knowledge Application Systems FInES Engineering
Technical Enablers
requirements
Knowledge App Computing Natural Technology
Tech Software & Storage Interaction Space
Networking
6
7. FInES RR/Txt
Contributors
Editors FolksOnto
Instances
Docs
FInES RR/Web Web
Community
••• 7
9. Driven by: online FInES Community
0 A collaborative, open, focused Knowledge resource, on the
objectives, interests, application domains of the Community
0 Accessed, populated, verified by the FInES Community, but
available to other scientific communities (preliminary contacts
with IFIP, some USA universities)
0 May be used to support:
0 Project proposals, Deliverable alignment, projects synergies /
overlapping, Evaluators / Reviewers reference, ...
3 main dimensions
0 Content: knowledge organization, free contributions, validation
0 Governance: Inspired by Wikipedia, rigorous but open
Governance Model, flexible participation, Rewarding systems
0 Technology: based on Semantic MediaWiki (multi-media/lingual)
9
10. From paper to Web,
through:
Text fragmentation
Knowledge Units
Identification
Hierarchical content
organization
Extensive cross-linking
••• 10
12. Governance and Organization:
the Wikipedia Paradigm
Wikipedia is self-governed by its community, with policies and
guidelines reflecting the consensus of the community.
13. 1. Wikipedia is an encyclopaedia (not a dictionary like
Wiktionary)
2. Wikipedia is written from a neutral point of view
3. Wikipedia is free content that anyone can edit, use,
modify, and distribute
4. Editors should interact with each other in a
respectful and civil manner
5. Wikipedia does not have firm rules.
••• 13
14. 0 Lightweight, ‘liquid’ organization
0 Governance, in the hands of a core group, with few
predefined roles, mainly for
0 Management
0 Quality assurance
0 Dispute resolution
0 Operational roles: in the hands of volunteers and users,
mainly for:
0 Content production (large nr of authors, 2% of users)
0 Quality control (Editors, Review panels, new page patrols, ..)
0 Dispute resolution (Mediation and Arbitration committees)
••• 14
15. Good consolidated practices:
0 First, search to see if it already there, in case as a synonym
0 Edit: identify an article that addresses your topic and integrate
what is missing (anyone can improve articles)
0 New article: should be a notable topic, start with a list of
sources
0 No articles ownership
0 Vandalism prevention and page protection are constantly
enforced
••• 15
16. CCx Competence
Circles (SOA,
Cloud, eID,
Pr2 Social Media,
Pr1 Knowledge, ...)
Pr3
IE CC2
CC1
Coord CC3 Pr4
SH
CC5
IE CC4
SH Pr..
IE
SH Stakeholder Individual Expert IE
16
17. FRR MoW Platform – Objectives follow the Wikipedia
footsteps
0 Create a shared, open knowledge repository with the
FRR content
0 Ensure facilities for wide, easy social collaboration
0 Shared collaborative content management
0 Forums and debate
0 Integrate Ontology level
0 Open Source
0 Distributed teams
0 Allowing for different accesses and navigation
strategies, for different users and stakeholders
0 Enhance the Semantic Knowledge approach
••• 17
19. 0 An innovative approach to Research Roadmap:
0 Not a projection of current trends, but
0 Assumption that we are at a ‘turning point’ (F. Capra)
0 The future cannot be anticipated, it should be determined!
0 The syndrom of ‘Self-fulfilling Prophecy’
0 FRR: a fantastic adventure!
0 Wide and passionate participation of several stakeholders:
0 Technology experts
0 Business experts
0 End users
0 ...
0 FRR MoW: an unprecedented opportunity.
0 A dynamic, evolving Resarch Roadmap after 5 similar exercises
19
20. THANK YOU FOR THE ATTENTION
MICHELE MISSIKOFF
(michele.missikoff@iasi.cnr.it)
Join Us!
www.fines-cluster.eu
FINES CLUSTER ACTIVITIES