Semantic Wiki For The Enterprise
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Semantic Wiki For The Enterprise

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Keynote presentation from the Semantic Wiki Workshop at the European Semantic Web Conference 2009.

Keynote presentation from the Semantic Wiki Workshop at the European Semantic Web Conference 2009.

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Semantic Wiki For The Enterprise Semantic Wiki For The Enterprise Presentation Transcript

  • Semantic Wiki In The Enterprise Josef Holy Social Network Designer Sun Microsystems
  • Web Semantic Wiki In The Enterprise Josef Holy Social Network Designer Sun 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
  • What is SunSpace ? Wiki-centric collaboration platform •25'000 users •400+ on top of Confluence Wiki Built communities > http://www.atlassian.com/confluence 10X growth in 6 month •Securemain community infrastructure CEC's Enterprise Wiki > Wiki Architecture, Methodology, Value System > File Store > Tags > Ratings, Comments > Social Graph > 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 Activities Value Social Cloud System
  • Deriving value from user's activities - eBay eBay Sell/Buy Ranking Send/Pay/Rate Top buyers/Top sellers
  • Deriving value from user's activities Post/Read Digg Digg System Digg it! Top stories/Top Diggers
  • Deriving value from user's activities – Community Equity Content-Centric Create/Modify Community CEQ Rate/Comment /... Top Content/Top Authors/...
  • Information Equity Content Activities People create modify download view rate comment tag
  • Personal Equity my Community Equity Activities Me Contribution create modify tag Participation People view rate comment reuse
  • Community Equity CONTRIBUTION PARTICIPATION EQUITY EQUITY Attachments Rate Wiki Comment Blogs Re-use CQ+PQ+SQ+RQ IP Tags Personal SKILLS EQUITY Equity ROLE EQUITY Enterprise Business User Projects Skills Rating Formal Training Informal
  • SunSpace is a start Activities CEQ • Wiki-centric social collaboration platform • Traditional Web technologies • Very basic metadata handling (flat tags)
  • Now let's move further Activities CEQ • 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 Aggregated TEQ value of tag “Java” 50 Docs tagged with “Java” 20 10 15 5
  • Tag Equity (TEQ) – People View Aggregated “Java” Expertise 50 People who produced docs with tag “Java” 20 10 15 5
  • TEQ → Concept Equity (SemEQ) • How does the Equity Value spread in the semantic graph? • Example: SKOS – cumulatively: Software 70 broader broader + + 50 Java 20
  • TEQ → Concept Equity (SemEQ) • But what to do with other types of relations? Software 70 broader broader + + built on 50 ??? 20 Java
  • 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 Holy Josef.Holy@Sun.COM twitter.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