Semantic Wiki In The EnterpriseJosef HolySocial Network DesignerSun Microsystems

WebSemantic Wiki In The EnterpriseJosef HolySocial Network DesignerSun Microsystems

Introducing Sun Context

Everyone and Everything Participating on the Network

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

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

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.

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

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

• 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

Who am I : MyProfile

What I need: Communities

Mashup: Personalized Search

KM Challenges• Low barrier for participation brings:> Missing notion of relevance and quality> Relevant knowledge retrieval and discovery> Expert discovery> Shared concept model maintenance

KM Challenges• Missing notion of relevance and quality• Relevant knowledge retrieval and

discovery• Expert discovery• Shared concept model maintenance

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?

Community Equity Introduction

Measuring Quality In Open Communities

Deriving value from user's activities

ValueSystem

Social Cloud Activities

Deriving value from user's activities - eBay

Ranking eBay Sell/Buy

Send/Pay/Rate

Top buyers/Top sellers

Deriving value from user's activities

DiggSystem

Digg Post/Read

Digg it!

Top stories/Top Diggers

Deriving value from user's activities – Community Equity

CEQContent-Centric Community

Create/Modify

Rate/Comment/...

Top Content/Top Authors/...

Information Equity Content Activities People

createmodifydownloadviewratecommenttag

Personal Equity my Community Equity Activities Me

ContributioncreatemodifytagParticipationviewratecommentreuse

People

Community EquityCONTRIBUTION

EQUITYAttachments

WikiBlogs

IP

SKILLS EQUITY

EnterpriseUser

Skills RatingTraining

PARTICIPATIONEQUITY

RateComment

Re-useTags

ROLE EQUITY

BusinessProjectsFormal

Informal

CQ+PQ+SQ+RQ

PersonalEquity

SunSpace is a start

CEQActivities

• Wiki-centric social collaboration platform• Traditional Web technologies• Very basic metadata handling (flat tags)

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

KM Challenges• Missing notion of relevance and quality• Relevant knowledge retrieval and

discovery• Expert discovery• Shared concept model maintenance

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

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

Semantic Wiki - Source Of Structure

Corporate boundaries

Semantic Wiki - Integration Layer

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

Activity Feed Example: Facebook

KM Challenges• Missing notion of relevance and quality• Relevant knowledge retrieval and

discovery• Expert discovery• Shared concept model maintenance

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?

Introducing Tag Equity:

Structure + Value (Tags) (CEQ)

Tag Equity (TEQ) – Content View

20 10 15 5

Docs tagged with “Java”

10

Aggregated TEQ value of tag “Java”50

Tag Equity (TEQ) – People View

20 10 15 5

People whoproduceddocs with

tag “Java” 10

Aggregated “Java” Expertise

50

TEQ → Concept Equity (SemEQ)• How does the Equity Value spread in the

semantic graph?• Example: SKOS – cumulatively:

Java

Software

broader+

50

70

20

broader+

TEQ → Concept Equity (SemEQ)• But what to do with other types of

relations?

Java

Software

broader+

50

70

20

broader+

built on???

KM Challenges• Missing notion of relevance and quality• Relevant knowledge retrieval and

discovery• Expert discovery• Shared concept model maintenance

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

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

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”

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

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

Thanks for your attention!Josef HolyJosef.Holy@Sun.COMtwitter.com/holyj

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