AURA Wiki - Knowledge Acquisition with a Semantic Wiki Application
Semantic Wiki For The Enterprise
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Transcript of Semantic Wiki For The Enterprise
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Semantic Wiki In The EnterpriseJosef HolySocial Network DesignerSun Microsystems
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WebSemantic Wiki In The EnterpriseJosef HolySocial Network DesignerSun Microsystems
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Introducing Sun Context
Everyone and Everything Participating on the Network
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Sun – Introduction• 30 000+ employees• Network is the computer• Everybody and everything participating
on the Network• HW, SW + Services – we have the whole
stack• Main asset: IP
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We Are Open • The biggest Open Source contributor• Not just SW, but also HW (OpenSparc.net)• Utilization of community model is a must• Communities spanning over the actual
corporate boundaries• Strong notion of bottom-up innovation
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We Use 'The 2.0ols'• Basic infrastructure for our communities:> Blogs - http://blogs.sun.com
– CEO blog: http://blogs.sun.com/jonathan> Wikis
– Internal: literally hundreds of internal wikis– External: http://wiki.sun.com
> Forums– http://java.sun.com
> “Code-forge”– http://www.kenai.com
> Social networks– Twitter, Facebook, LinkedIn...etc.
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KIWI Scope: Customer Engineering Community (CEC)• 9000+ people geographically and
organizationally dispersed• Design, Deployment and Post-sale
support• Sub-groups relate to products, services
and practices• Running on Wiki since years > Project SunSpace> Low barrier for participation
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What is SunSpace ?• Wiki-centric collaboration platform• Low barrier for participation• Built on top of Confluence Wiki> http://www.atlassian.com/confluence
• CEC's main community infrastructure> Wiki> File Store> Tags> Ratings, Comments> Social Graph> Value System
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• Wiki-centric collaboration platform• Built on top of Confluence Wiki> http://www.atlassian.com/confluence
• CEC's main community infrastructure> Wiki> File Store> Tags> Ratings, Comments> Social Graph> Value System
What is SunSpace ?
25'000 users 400+ communities 10X growth in 6 month Secure Enterprise Wiki Architecture, Methodology, Value System
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Who am I : MyProfile
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What I need: Communities
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Mashup: Personalized Search
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KM Challenges• Low barrier for participation brings:> Missing notion of relevance and quality> Relevant knowledge retrieval and discovery> Expert discovery> Shared concept model maintenance
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KM Challenges• Missing notion of relevance and quality• Relevant knowledge retrieval and
discovery• Expert discovery• Shared concept model maintenance
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Missing Notion Of Relevance and Quality• What is the best white paper about topic
X?• Who is the main contributor in the
Community Y?• What is a current hot topic?• Who is an expert on topic Z?
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Community Equity Introduction
Measuring Quality In Open Communities
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Deriving value from user's activities
ValueSystem
Social Cloud Activities
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Deriving value from user's activities - eBay
Ranking eBay Sell/Buy
Send/Pay/Rate
Top buyers/Top sellers
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Deriving value from user's activities
DiggSystem
Digg Post/Read
Digg it!
Top stories/Top Diggers
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Deriving value from user's activities – Community Equity
CEQContent-Centric Community
Create/Modify
Rate/Comment/...
Top Content/Top Authors/...
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Information Equity Content Activities People
createmodifydownloadviewratecommenttag
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Personal Equity my Community Equity Activities Me
ContributioncreatemodifytagParticipationviewratecommentreuse
People
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Community EquityCONTRIBUTION
EQUITYAttachments
WikiBlogs
IP
SKILLS EQUITY
EnterpriseUser
Skills RatingTraining
PARTICIPATIONEQUITY
RateComment
Re-useTags
ROLE EQUITY
BusinessProjectsFormal
Informal
CQ+PQ+SQ+RQ
PersonalEquity
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SunSpace is a start
CEQActivities
• Wiki-centric social collaboration platform• Traditional Web technologies• Very basic metadata handling (flat tags)
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Now let's move further
CEQActivities
• Wiki-centric social collaboration platform• Built on top of semantic web
technologies• Much better metadata handling (triples)> Flat tags → Taxonomy → … → Ontology
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KM Challenges• Missing notion of relevance and quality• Relevant knowledge retrieval and
discovery• Expert discovery• Shared concept model maintenance
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Relevant knowledge retrieval and discovery• Current PULL techniques are not
sufficient> Full-text search
• A need to PUSH relevant content to users• A need for more structure –> better
metadata handling
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Semantic Wiki – Social Semantic Platform
• Source of structure – interaction with existing tools and services• Structure created both by people and
machines• Linking to outside resources → new
relations• Social filtering – content with no social
actions is less relevant
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Semantic Wiki - Source Of Structure
Corporate boundaries
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Semantic Wiki - Integration Layer
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Default Entry Page – Activity Feed• Activities related to content
relevant/interesting for the user> Semantic Graph → Reasoning →
Personalization• PUSH in a natural, non-intrusive way> “Check out this new white paper”> “Hey, new version of Java was just released.”> “Could you maybe help this guy?”
• Empowers participation> Beneficial for the Equity measures
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Activity Feed Example: Facebook
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KM Challenges• Missing notion of relevance and quality• Relevant knowledge retrieval and
discovery• Expert discovery• Shared concept model maintenance
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Expert Discovery• Most of the knowledge is tacit, in people's
heads> → Finding the right people is more important
than finding documents• Who knows what?• Who is an expert on topic X?• Who could help me with this problem?• Who should I learn from?
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Introducing Tag Equity:
Structure + Value (Tags) (CEQ)
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Tag Equity (TEQ) – Content View
20 10 15 5
Docs tagged with “Java”
10
Aggregated TEQ value of tag “Java”50
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Tag Equity (TEQ) – People View
20 10 15 5
People whoproduceddocs with
tag “Java” 10
Aggregated “Java” Expertise
50
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TEQ → Concept Equity (SemEQ)• How does the Equity Value spread in the
semantic graph?• Example: SKOS – cumulatively:
Java
Software
broader+
50
70
20
broader+
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TEQ → Concept Equity (SemEQ)• But what to do with other types of
relations?
Java
Software
broader+
50
70
20
broader+
built on???
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KM Challenges• Missing notion of relevance and quality• Relevant knowledge retrieval and
discovery• Expert discovery• Shared concept model maintenance
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Shared Concept Model Maintenance• How to manage folksonomies?> How to bring more structure into the (flat)
tag-space?> How to handle new tags invented by users?> Merge, delete, synonyms...etc.> How to give tags a more formal meaning?> How to relate tags to each other?
• Concept model should evolve with the domain> Open Communities need flexibility
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Top-down Approach• “Let it be taken care of by experts who
know everything”> Dictatorship> Failed vision of the SemWeb from 2000
(“World-wide ontology”)> Too static → slow → inefficient
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Bottom-up Approach• “Let the community do it in a wiki way!”> Anarchy – chaotic> Some level of control needed > There is no free market in the end> Even wikipedia has its “gardeners”
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Solution: Open Concept Model Management (OCM)• Top-down + Bottom-up > Democracy – Elites (“elected” via CEQ)
managing the “folksonomy chaos”• Managing Concept Model in a Wiki way• Expertise-based access rights to the CM> Domains maintained by competent experts
• Sustainable concept model evolution> Opened to expertise emerging from bottom
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Summary – Semantic Wiki In The Enterprise
• Semantic Wiki as a core of dynamic intranet> And of Semantic Web
• Source of Structure in Unstructured Environment• Need for a Value System> Merged with the semantic graph
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Semantic Wiki Function(s)• Wiki - Document authoring tool> Users create structured content (documents)> They are shaping the knowledge base on the
instance level• Ontology manager> Creating new classes, defining properties... > Knowledge models need to dynamically
evolve• Source of structure, Integration
layer> Sustainable approach to data integration