Semantic Wikis         and Applications  Jesse Wang, Mark Greaves             Ning Hu, Justin Zhang         Vulcan Inc.   ...
Your Instructors                   Jesse   Mark                  Justin    Ning2
Who is Vulcan3
What does Vulcan do4
It all began with an idea…5
Now the Idea Continues as Project Halo6
Project Halo’s Knowledge Acquisition Goals       Address the problems in        building Knowledge Bases                 ...
Tutorial Structure                                 Part I             Wiki and Semantics (Jesse)             Semantic Me...
IntroductionWIKI AND SEMANTICS
edit wow. I can change the web. let’s share and publish knowledge, to make an [[encyclopedia]]!
Some Wiki Platforms   Wikia    – Wiki communities for everyone   PBWiki/PBWorks    – Online Collaboration that just Work...
So What is a Wiki   By Wikipedia:    – A wiki (pronounced /ˈw WIK-ee) is a website that allows the                       ...
What Wiki Really Is about   Quick – from idea to result    – no need of extra software   Easy    – Mass participation  ...
A Key Feature of Wiki           This distinguishes wikis from other publication tools
Consensus in Wikis Comes from   Collaboration    – ~17 edits/page on average in      Wikipedia (with high variance)    – ...
Software Support Makes Wikis Successful   Trivial to edit by anyone   Tracking of all changes, one-    step rollback   ...
Success of Wikis
Leverage Crowd’s Wisdom
Wikis are great   Enable new scale of human collaboration Everyone can read Everyone can write Everyone gets aggregate...
Wiki Clock             http://pageoftext.com/wikiclock
edit   edit
Deep InfoWikipedia has articles about…•   … all cities with info on their    populations, locations and    skyscrapers, et...
How Wikipedia Answers – List!                            http://en.wikipedia.org/wiki/List_of_fastest_                    ...
Going Deeper        http://en.wikipedia.org/wiki/List_of_German_cars
Deeper…
And Deeper…28
And Now…
Look into List in Wikipedia         http://en.wikipedia.org/wiki/List_of_German_cars
Editing Standard Wiki Article – Static List
Static List, Tables, …                 http://en.wikipedia.org/wiki/List_of_lists_about_Oregon
Problems with Static Lists, Tables   Duplicated data   Inconsistent data   Data may not be up-to-date   Hard to mainta...
Semantics Come To RescueTo find answers like:• All Porsche vehicles made in Germany   that accelerate from 1-100 km/h less...
What is a Semantic Wiki A wiki that has an underlying model of the  knowledge described in its pages. To allow users to ...
Two Perspectives    Wikis for    Metadata    Metadata for    Wikis
Why Semantic Wiki? Annotation of existing structures with machine  readable metadata   links carry meaning, typing of lin...
What is the Promise of Semantic Wikis? Semantic Wikis promise  Consensus over Data  and Structure Combine low-expressivi...
Challenges on Data Consensus   Data modeling is (seemingly) a specialized skill   Finding disagreements in data is diffi...
One Key Helpful Feature of Semantic Wikis            Semantic Wikis are “Schema-Last”               Databases require DBAs...
Basics of Semantic Wikis   Still a wiki, with regular wiki features    – Category/Tags, Namespaces, Title, Versioning, .....
List of Semantic WikisAceWiki                       Semantic MediaWiki - anArtificialMemory              extension to Medi...
Tutorial Structure                             Part I         Wiki and Semantics (Jesse)         Semantic MediaWiki (Jes...
An Extension to MediaWikiSEMANTIC MEDIAWIKI
Short History of Semantic MediaWiki   Born at AIFB    – Typed links and types and more    – Export articles as RDF    – M...
Semantic MediaWiki (SMW) Markup Syntax            Zhejiang University is located in             [[Has location::Hangzhou]]...
Special Properties   “Has Type” is a pre-defined “special” property for meta-    data    – Example: [[Has type::String]]...
Define Classes                Beijing is a city in [[Has                country::China]], with population                [...
Database-style Query over Wiki Data   Example: Skyscrapers in China higher than 50 stories, built between            2000 ...
Semantic MediaWiki Software    Open source (GPL)     – Well documented    Active development     – Commercial support av...
SMW Extensions – Help Build Great Things    Data I/O    • Halo Extensions, Semantic Forms, Semantic Notification, …    Que...
External data reuseExport formats RDF/XML SPARQL end points RDFa CSV JSON iCal vCard Bibtex
Extensible architecture Built on MediaWiki Small core SMW Extension hooks of its own Allow apps on top of it
Tutorial Structure                                  Part I              Wiki and Semantics (Jesse)              Semantic...
Semantic MediaWiki (SMW) and SMW+        Semantic MediaWiki          – The project where the original semantic wiki ideas...
The Goal of SMW+                       SMW+                   halo extensions
From MediaWiki to SMW+                  SemanticMediaWiki         MediaWiki           Halo Extension          SMW+ Powerf...
SMW+ In One (Marketing) Slide                               SMW+ is a Semantic Enterprise Wiki                            ...
Selected SMW+ Extensions for this Tutorial (1 of 4)Faceted Search and BrowsingHigh speed exploration of data and texttoget...
Selected SMW+ Extensions for this Tutorial (2 of 4)Data Browser / Semantic Toolbar / WYSIWYG EditorFlexibly create and cur...
Selected SMW+ Extensions for this Tutorial (3 of 4) Query Interface Easy query construction with the    Query Interface GU...
Selected SMW+ Extensions for this Tutorial (4 of 4)Semantic Forms and Automatic Semantic FormsCreate data in the wiki with...
SMW+ Extensions: Microsoft Office Connector        How do we further embed semantic         wikis into corporate practice...
SMW+ Full Extension SuiteStarts small – grows with useAdd special purpose extensions and manage your wiki installation wit...
SMW+ Open Source Extension Library (1 of 3)        Usability         – Collaboration – The Collaboration Extension enable...
SMW+ Open Source Extension Library (2 of 3)        Data Processing         – Rule Knowledge – Offers a graphical rule edi...
SMW+ Open Source Extension Library (3 of 3)        Data Consistency         – Semantic Gardening – The Gardening extensio...
Tutorial Structure                                  Part I              Wiki and Semantics (Jesse)              Semantic...
Hands-on tasks      Create account      Create a plain new article – plain wiki text editing      Add semantic annotati...
Ontologies – Constituents    Ontology entities and their counterpart in the wiki      – Category: Wiki page in namespace ...
Ontologies – Constituents    Basic ontology statements in the wiki      – Is-a: Sub-category relation. Category page tagg...
Ontologies – Properties Properties can have properties (or characteristics)     – all characteristics are specified as ann...
Ontologies – Properties Properties have types:  Type:Page - links to pages (the default)  Type:String - text strings tha...
Ontologies – Properties Properties can have properties (or characteristics)  Subproperty of – This property is a speciali...
Tutorial Structure                              Part I          Wiki and Semantics (Jesse)          Semantic MediaWiki (...
Semantic Wikis  in Practice  Mark Greaves
SMW Installations   Patterns for applying SMW+     – As a flexible and user-friendly front end to large data resources   ...
SMW Examples: OpenEI.org  82
SMW Examples: SNPedia
SMW Examples: SNPedia
SNPedia wins the “23 and Me” prize
SMW Example: Collaborative Proposal Management                                 Active Bid Viewer                          ...
SMW+ with Automatic Document Annotation  87
Editing the Document Annotations  88
NYC BigApp 2.0 Prize to Revelytix and TCG
SMW+ Example: NYCreation  90
SMW+ Example: NYCMantics  91
SMW Example: Oh Internet  92
SMW Example: SCRUM Coordination Wiki                                          Augment wiki                               ...
What Would an Analytic Encyclopedia Look Like?   Back to the original vision: An SMW demo built to explore    “Semantic W...
Ultrapedia: An Analytic Encyclopedia   Goal: Prototype a small semantic encyclopedia     –   Create an semantic version o...
Extracting Structured Data from Wikipedia
Extracting Structured Data from Wikipedia    Title                                             Domain Description         ...
Extracting Data from Wikipedia TablesTableData   98
Ultrapedia Prototype Data Flow                                   Real-time feed of WP changes                             ...
Demo: Ultrapedia                       Ultrapedia Demo   Domain is German cars                         Things to take aw...
Tutorial Structure                                   Part I               Wiki and Semantics (Jesse)               Seman...
Data as Fine Objects
Wiki Object Model Motivation   Strong needs for access the structured data and    unstructured data in the wiki as a data...
Wiki Object Model Objects         Page                                        Category         Section                 ...
Demo of WOM         Demo at http://wiking.vulcan.com/dev_sandbox/         Demo 1: APIs             The API is part of M...
A “Designer” Wiki Application Builder106
Usage of SMW   Collaboration   Collecting structured data   Sharing information   Management of heterogeneous data   ...
Common Work Items   Schema Design   Extension Choice   Form Design   Template Authoring   Skin Customization   Query...
The Bar to be Expert
Modeling = Yes Coding = No     Most users just like to share or      collect contents      – CMS:        Drupal, WordPres...
   Code is essential building blocks    – Not everyone is good at writing code   Frameworks enables “meta-data” use    –...
Model Metadata   Existing examples:    – “Allowed values”  Auto-completion in SF    – “has default form”  Map form to d...
A simple workflow wiki application built on top of Widget Designer
Tutorial Structure                                   Part I               Wiki and Semantics (Jesse)               Seman...
How to create and customize the pages
Recap Access Wiki Content as Fine Objects Designing via metadata modeling Metadata configured by UI Metadata, data and...
The Inspiration         We started with a         Now we have an118
Requirements for Wiki “Developers”         One need not          – Write code like a hardcore programmer          – Desig...
Effectiveness of SMW as a Platform Choice       Packaged Software      SMW + Extensions          Custom Development      ☺...
Tutorial Structure                                   Part I               Wiki and Semantics (Jesse)               Seman...
Connecting to SMW+ and Consuming Data         Wiki - Microsoft Office Connector          – As known as WikiTags          ...
SMW:: powerful tools and contents Semantic MediaWiki and related extensions have more potential power
Need Release :: The Power Be used by more  people Content in more  places Accessible via more  applications Enhanced w...
Need :: Workflow Integration + Usability Enhancements Infrequent Wiki users frequently forget where the wiki  pages are l...
Microsoft Office :: The Most Popular Productivity Suite      500m users worldwide      >90% market share      Users live i...
MICROSOFT OFFICE CONNECTOR       :: How It Works    Leverage Microsoft Office     Add-ins technology    Bring SMW info t...
Before the demo, let’s look a data wikiAGILE PROJECT MANAGEMENT
Wiki :: Agile Project Management – Scrum++Project WikiforMilestones, UserStories, Developer Tasks, etc.Page is form-base...
For more info, go to                   http://wiking.vulcan.com/dev/Now see the demoLIVE ACTIONS
Backstage::Semantic Wiki Object Model Wiki Validation                         To get page info Authentication          ...
Microsoft Office Connector Smart Connections•   Consume relevant, targeted information    –   With the tools you are alrea...
Tutorial Structure                                   Part I               Wiki and Semantics (Jesse)               Seman...
Openness of SMW as a Platform136
Summary: SMW and Applications       Semantic MediaWiki combines the power of semantics with        wiki’s usability and s...
Questions?138
Backup slides start here…139
Questions about SMW in Enterprise and Government         SMW in a multi-datasource environment          – Microsoft Offic...
Wikipedia for Porsches (Acceleration Data Example)     Information Need: All Porsche models that accelerate 0-      100kp...
More Porsche Acceleration Data in Wikipedia
Ultrapedia Main Page  Main Page
Semantics for Improved Wiki NavigationTree View Control       Abstract/Summary quick preview
The Porsche 996 Acceleration Table In Ultrapedia
Same Table as a Query
Dynamically-Generated Tables forfast?              Which Porsches accelerate                                        Querie...
Graph Views of the Acceleration Data
External Data via a Live Ebay Query
Linking to External Ebay Data
Photos in Mercedes-Benz E-class W212 Gallery Section          Wiki Articles as Data
Timelines from Data Production Timeline View               Volkswagen
Dynamic Mapping and Charting
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
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Jist tutorial semantic wikis and applications

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Semantic Wiki and applications tutorial for JIST 2011

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  • ----- Meeting Notes (3/24/11 15:29) -----Vulcan is the MothershipProviding funds and supportPaul Allen successful
  • Wikis started by adding a simple edit link to a website
  • So why does Wikipedia work, and wiki clock not?
  • Go to the main page, show off abstract previewClick on
  • Wikis, especially, semantic-enhanced wikis, are wonderful tools for collaboration and content management. Semantic MediaWiki Plus, with Halo and other useful extensions made it a great platform for web application development.
  • With all the semantic structures generated, it is important to empower more people with the magic of this platform. The more people use it, the better it will be.
  • With all the semantic structures generated, it is important to empower more people with the magic of this platform. The more people use it, the better it will be.
  • Microsoft Office application suite has more than 90% market share, generating billions of revenue for Microsoft. Many users are dependent on the application to get their things done, such as Excel, PowerPoint. Outlook, especially, is usually open all the time, and in fact, many people spend most of their work time a day with Outlook. So, if we can entice Microsoft Office users to use Semantic Wiki, it’ll be a great plus. 500 million users is from http://blogs.technet.com/office2010/archive/2009/10/07/new-ways-to-try-and-buy-microsoft-office-2010.aspx
  • WikiTags is here to bridge semantic wikis with more potential users, such as users of Microsoft Word, Outlook and Excel, with Microsoft SmartTag technology.
  • Let's at first take a look at some semantic wikis we have.
  • This is a bare-bone wiki for Sci-Fi movies, similar to Wikipedia except it contains extracted semantic information, shown here in the fact box.
  • We also have a project management and feature documentation wiki , full of semantic templates and forms, so it is also "semanticated“, a wiki of us, for us, and by us.
  • Now, let's see how it works with Office applications.
  • WikiMail let users contribute to the wiki using their familiar tools
  • WikiTags can help wikis connecting to more people and releasing more power of semantic wikis, and it is available for free trial.
  • The problem we are going to solve is “find the 0-60 times of all Porsche cars in Wikipedia”This is a sample Wikipedia page for the Porshe 996, showing its acceleration times in a performance data table.This table is manually built – all the table data exists as constants in the table.
  • This is a Wikipedia page showing 0-60 times for the Porsche Cayenne.If we have to manually go through every Porsche model to assemble the 0-60 data for each model and type, this is going to take a while.A better idea is to treat Wikipedia like a database, and simply query it. Enter Ultrapedia.
  • This is the Ultrapedia home page.
  • First notice that Ultrapedia can leverage all the data it extracts from Wikipedia to support a much more helpful UI.For example, Ultrapedia adds a manufacturer-based navigation system on the side, and show explanatory popups. These kinds of UI tweaks aren’t possible with MediaWiki now, and are an important benefit of having the semantic data.
  • Remember that we want to find the 0-60 acceleration data for all Porsche models that Wikipedia knows about.Let’s start by looking at a query generated table on the Ultrapedia Porsche 996 page. For comparison, Ultrapedia also includes the original performance table from Wikipedia (above)
  • This is Ultrapedia’sPorsche 996 performance table, built by a query to the Ultrapedia database of Wikipedia-extracted data.Notice that it has the same information that the original static table has, this is because we scrape the data from the static table.This table is dyamically generated at each page load out of the extracted Wikipedia data, so it is always up to date.It is sortable and also accepts feedback and ratings on individual data items.
  • Now we can answer our question about 0-60 times across all Porsche models with one simple query in Ultrapedia. We can make this an Ultrapedia-only page – the page itself just 5 queries on it (one for each acceleration range).We could also do this as one big table but it’s easier to read as 5 smaller tables.All the data here flows from Wikipedia.
  • Of course once you have data, Ultrapedia can support data visualizations. This is a simple Flash-based chart widget based on the same Porsche 996 data, and included in Ultrapedia’s Porsche 996 page.It shows us that while acceleration varies dramatically, top speed and peak engine power remain fairly constant across models.The chart was specified manually with a query. There are of course a huge number of possible ways to chart a set of data, and most of these ways are uninteresting.In the Ultrapedia concept, we rely on article authors to specify interesting charts for their readers that will support the particular points in the article.
  • We can also use the data to dynamically link to other data sources. In this case we have configured the Ultrapedia Porsche 996 article to include a live ebay query to find out what the Porsche 996 sells for today…We access the ebay data through a web services interface.We can do this for arbitrary other web-service-accessible data sources, like amazon or geonames.In a government or enterprise context, we would link articles to supporting data from appropriate systems of record.
  • I don’t think I’ll be buying one… I think I’d rather send my daughter to college.
  • Pictures automatically get metadata, so Ultrapedia can deliver an iPod-like “cover flow” browsing experience with images to augment the table data. We could also embed images or videos in the tables.
  • Since Ultrapedia includes some simple internal logic about time, we can generate simple browsable timelines and use them in articles.Here we see a timeline of VW models.
  • But, did you know that Uusikaupunki, Finland, is a major hub for Porsche manufacturing?Ultrapedia allows us to drill down to look at Finland’s contribution to Porsche production.
  • Jist tutorial semantic wikis and applications

    1. 1. Semantic Wikis and Applications Jesse Wang, Mark Greaves Ning Hu, Justin Zhang Vulcan Inc. TeamMersion LLC{jessew, markg}@vulcan.com {ning, justinzh}@teammersion.com December 4, 2011
    2. 2. Your Instructors Jesse Mark Justin Ning2
    3. 3. Who is Vulcan3
    4. 4. What does Vulcan do4
    5. 5. It all began with an idea…5
    6. 6. Now the Idea Continues as Project Halo6
    7. 7. Project Halo’s Knowledge Acquisition Goals  Address the problems in building Knowledge Bases – scale – cost  Have high impact KB Effort (cost, people,…) Now Vulcan Future KB size (number of assertions, complexity…)7
    8. 8. Tutorial Structure Part I  Wiki and Semantics (Jesse)  Semantic MediaWiki (Jesse)  SMW+ (Mark)  Hands-On Session 1 (All) Part II  Semantic Wikis in Practice (Mark)  Wiki Object Model and Widgets (Jesse, Ning)  Hands-On Session 2 (All)  Connecting to SMW+ (Jesse, Justin)  Wrap Up and Q&A (All)8
    9. 9. IntroductionWIKI AND SEMANTICS
    10. 10. edit wow. I can change the web. let’s share and publish knowledge, to make an [[encyclopedia]]!
    11. 11. Some Wiki Platforms Wikia – Wiki communities for everyone PBWiki/PBWorks – Online Collaboration that just Works TWiki – the Open Source Enterprise Wiki and Web 2.0 Application Platform MoinMoin – advanced, easy to use and extensible WikiEngine 13
    12. 12. So What is a Wiki By Wikipedia: – A wiki (pronounced /ˈw WIK-ee) is a website that allows the ɪki/ easy[1] creation and editing of any number of interlinked web pages via a web browser using a simplified markup language or a WYSIWYG text editor.[2][3] Wikis are typically powered by wiki software and are often used to createcollaborative websites, to power community websites, for personal note taking, in corporate intranets, and in knowledge management systems. 14
    13. 13. What Wiki Really Is about Quick – from idea to result – no need of extra software Easy – Mass participation Collaborative Community Authoring – Notification (Watch) Version Control 15
    14. 14. A Key Feature of Wiki This distinguishes wikis from other publication tools
    15. 15. Consensus in Wikis Comes from Collaboration – ~17 edits/page on average in Wikipedia (with high variance) – Wikipedia’s Neutral Point of View Convention – Users follow customs and conventions to engage with articles effectively
    16. 16. Software Support Makes Wikis Successful Trivial to edit by anyone Tracking of all changes, one- step rollback Every article has a “Talk” page for discussion Notification facility allows anyone to “watch” an article Sufficient security on pages, logins can be required A hierarchy of administrators, gardeners, and editors Software Bots recognize certain kinds of vandalism and auto- revert, or recognize articles that need work, and flag them for editors
    17. 17. Success of Wikis
    18. 18. Leverage Crowd’s Wisdom
    19. 19. Wikis are great Enable new scale of human collaboration Everyone can read Everyone can write Everyone gets aggregated Everyone is accountable for everything But some things are better left to machines…
    20. 20. Wiki Clock http://pageoftext.com/wikiclock
    21. 21. edit edit
    22. 22. Deep InfoWikipedia has articles about…• … all cities with info on their populations, locations and skyscrapers, etc. … all German cars with engine size, accelerating data…Can you find:Skyscrapers with 50+ floorsand built between 2000 and2008 in Shanghai (or Chinesecities with 1,000,000+people)?Or German(Porsche) cars thataccelerate from 0-100km/h in5 seconds? 24
    23. 23. How Wikipedia Answers – List! http://en.wikipedia.org/wiki/List_of_fastest_ cars_by_acceleration
    24. 24. Going Deeper http://en.wikipedia.org/wiki/List_of_German_cars
    25. 25. Deeper…
    26. 26. And Deeper…28
    27. 27. And Now…
    28. 28. Look into List in Wikipedia http://en.wikipedia.org/wiki/List_of_German_cars
    29. 29. Editing Standard Wiki Article – Static List
    30. 30. Static List, Tables, … http://en.wikipedia.org/wiki/List_of_lists_about_Oregon
    31. 31. Problems with Static Lists, Tables Duplicated data Inconsistent data Data may not be up-to-date Hard to maintain Considerable efforts to make new list/table
    32. 32. Semantics Come To RescueTo find answers like:• All Porsche vehicles made in Germany that accelerate from 1-100 km/h less than 4 seconds• Sci-Fi movies made after year 2000 that cost less than $10M and gross more than $30M• A map showing where all Mercedes- Benz vehicles are manufactured• All skyscrapers in China (Japan, Thailand,…) of 50 (40/60/70) floors or more, and built in year 2000 (2001/2002) and after, sorted by built year, floors…, grouped by cities, regions…• And many more
    33. 33. What is a Semantic Wiki A wiki that has an underlying model of the knowledge described in its pages. To allow users to make their knowledge explicit and formal Semantic Web Compatible Semantic Wiki
    34. 34. Two Perspectives Wikis for Metadata Metadata for Wikis
    35. 35. Why Semantic Wiki? Annotation of existing structures with machine readable metadata links carry meaning, typing of links, typing of pages Context dependent adaptation and presentation different domains have different ways of presenting content, personal preferences, etc. Improved, “intelligent”, search and navigation queries to the structure, visualisation of structure, derived information Improved interoperability between systems exchange of content, integration of different systems, agents, etc.
    36. 36. What is the Promise of Semantic Wikis? Semantic Wikis promise Consensus over Data and Structure Combine low-expressivity data authorship with the best features of traditional wikis User-governed, user- maintained, user-defined Easy to use as an extension of text authoring
    37. 37. Challenges on Data Consensus Data modeling is (seemingly) a specialized skill Finding disagreements in data is difficult Consistently revising data schemas is difficult Consistency of schema information (“Population”, “Pop”, “Number_of_inhabitants”, etc...) Consistency of types, units of measure, application of rules… Semantics/interpretation of properties need explanation for humans …
    38. 38. One Key Helpful Feature of Semantic Wikis Semantic Wikis are “Schema-Last” Databases require DBAs and schema design; Semantic Wikis develop and maintain the schema in the wiki
    39. 39. Basics of Semantic Wikis Still a wiki, with regular wiki features – Category/Tags, Namespaces, Title, Versioning, ... Typed Content (built-ins + user created, e.g. categories) – Page/Card, Date, Number, URL/Email, String, … Typed Links (e.g. properties) – “capital_of”, “contains”, “born_in”… Querying Interface Support – E.g. “[[Category:Member]] [[Age::<30]]” (in SMW)
    40. 40. List of Semantic WikisAceWiki Semantic MediaWiki - anArtificialMemory extension to MediaWiki thatWagn - Ruby on Rails-based turns it into a semantic wikiKiWi – Knowledge in a Wiki Swirrl - a spreadsheet-based semantic wiki applicationKnoodl – SemanticCollaboration tool and TaOPis - has a semantic wikiapplication platform subsystem based on Frame logicMetaweb - the software thatpowers Freebase TikiWiki CMS/Groupware integrates Semantic links as aOntoWiki core featureOpenRecord zAgile Wikidsmart - semanticallyPhpWiki enables Confluence
    41. 41. Tutorial Structure Part I  Wiki and Semantics (Jesse)  Semantic MediaWiki (Jesse)  SMW+ (Mark)  Hands-On Session 1 (All) Part II  Semantic Wikis in Practice (Mark)  Wiki Object Model and Widgets (Jesse, Ning)  Hands-On Session 2 (All)  Connecting to SMW+ (Jesse, Justin)  Wrap Up and Q&A (All)
    42. 42. An Extension to MediaWikiSEMANTIC MEDIAWIKI
    43. 43. Short History of Semantic MediaWiki Born at AIFB – Typed links and types and more – Export articles as RDF – Maximally flexible for the wiki user SMW 0.1 released by AIFB in Sept 2005 – Parser/storage support for typed links – [[type::link | label]] – FactBox for semantic relations at end of article – Special:SearchSemantic, with basic auto-completion for link types – Simple query language (“ask”) Vulcan kicks off Halo Extensions to SMW project in August 2007 SMW 1.0 released by AIFB in Dec 2007, Ontoprise releases Halo Extension 1.0 in parallel – “Property” instead of “Relation” and “Attribute” – Many new datatypes/special pages/UI features
    44. 44. Semantic MediaWiki (SMW) Markup Syntax Zhejiang University is located in [[Has location::Hangzhou]], with [[Has population::39000|about 39 thousands]] students. In page "Property:Has location”: In page "Property:Has population”: [[Has type::Page]] [[Has type::number]]
    45. 45. Special Properties “Has Type” is a pre-defined “special” property for meta- data – Example: [[Has type::String]] “Allowed Values” is another special property – [[Allows value::Low]], – [[Allows value::Medium]], – [[Allows value::High]] In Halo Extensions, there are domain and range support – RDFs expressivity – Semantic Gardening extension also supports “Cardinality”
    46. 46. Define Classes Beijing is a city in [[Has country::China]], with population [[Has population::2,200,000]]. [[Category::Cities]] Categories are used to define classes because they are better for class inheritance.The Jin Mao Tower (金茂大厦) is an 88-story landmark supertallskyscraper in …[[Categories: 1998 architecture | Skyscrapers inShanghai | Hotels in Shanghai | Skyscrapers over 350 meters | Visitorattractions in Shanghai | Landmarks in Shanghai | Skidmore, Owings andMerrill buildings]] Category:Skyscrapers in China Category: Skyscrapers by country
    47. 47. Database-style Query over Wiki Data Example: Skyscrapers in China higher than 50 stories, built between 2000 and 2008 ASK/SPARQL query target {{#ask: [[Category:Skyscrapers]] [[Located in::China]] [[Floor count::>50]] [[Year built::<2000]] [[Year built::>2008]] … }}
    48. 48. Semantic MediaWiki Software  Open source (GPL) – Well documented  Active development – Commercial support available  World-wide community – International Conferences • Next SMWCon 4/25-27, 2012 in Carlsbad, CA Very stable core, various extensions
    49. 49. SMW Extensions – Help Build Great Things Data I/O • Halo Extensions, Semantic Forms, Semantic Notification, … Query and Browsing • Semantic Toolbar, Semantic Drilldown, Enhanced Retrieval, Search… Visualization • Semantic Result Printers, Tree View, Exhibit, Flash charts… Other useful extensions • HaloACL, Deployment, Triplestore Connector, Simple Rules… • Semantic WikiTags and Subversion Integration extensions • Linked Data Extension, with R2R and SILK from F.U.Berlin
    50. 50. External data reuseExport formats RDF/XML SPARQL end points RDFa CSV JSON iCal vCard Bibtex
    51. 51. Extensible architecture Built on MediaWiki Small core SMW Extension hooks of its own Allow apps on top of it
    52. 52. Tutorial Structure Part I  Wiki and Semantics (Jesse)  Semantic MediaWiki (Jesse)  SMW+ (Mark)  Hands-On Session 1 (All) Part II  Semantic Wikis in Practice (Mark)  Wiki Object Model and Widgets (Jesse, Ning)  Hands-On Session 2 (All)  Connecting to SMW+ (Jesse, Justin)  Wrap Up and Q&A (All)56
    53. 53. Semantic MediaWiki (SMW) and SMW+  Semantic MediaWiki – The project where the original semantic wiki ideas were developed – A compact extension of MediaWiki that supports storage, retrieval, and use of basic data markup in wiki pages – Core code developed at Karlsrühe Institute of Technology beginning in 2004  Open source (GPL), well documented, active mailing list, world- wide community, commercial support available  Very stable core, plus ~50 extensions that add features – Data I/O: Semantic Forms, Semantic Notification, Linked Data… – Query and Browsing: Halo Extensions, Semantic Drilldown, Semantic Search… – Visualization: Semantic Result Printers, TreeView, Flash charts… – Other useful extensions: HaloACL, Deployment, RichMedia…  SMW+ is a commercial-grade semantic wiki based on SMW – A GPL (open-source) package of interoperable enterprise-oriented SMW extensions, with installer and business-critical features – ~2K downloads/month; ~5K unique visitors/month to SMW+ Forum – Users’ group meetings in North America and Europe (next meeting April in San Diego) – A growing developer community at http://www.smwplus.com – Available commercial support57
    54. 54. The Goal of SMW+ SMW+ halo extensions
    55. 55. From MediaWiki to SMW+ SemanticMediaWiki MediaWiki Halo Extension SMW+ Powerful Wiki  Core Semantic  Usability extension  Shrink wrap suite of engine Wiki engine to Semantic open source software Basic CMS  Authoring of MediaWiki products feature set explicit  Increases user  Comes with ready to knowledge in consensus use ontology content  Increases use of  Easy to procure and  Basic reasoning semantic data install capabilities  Standard support contract available
    56. 56. SMW+ In One (Marketing) Slide SMW+ is a Semantic Enterprise Wiki for agile collaboration on rich text and data It is a Wiki: Platform for web-based collaboration and quick authoring of text and data content. It is a database: Users write data and text together on wiki pages, and visualize the data with simple queries It is an integration tool: Users access data from external databases, web services or the Semantic Web within the Wiki. It is enterprise-ready: Installs in 15 minutes and comes with business- critical features. Extendible and scalable. http://www.smwplus.com
    57. 57. Selected SMW+ Extensions for this Tutorial (1 of 4)Faceted Search and BrowsingHigh speed exploration of data and texttogether Drill-down search results by categories, properties, and their values Find relevant articles, facts, and semantic content Identify suitable properties for queriesHelp: http://smwforum.ontoprise.com/smwforum/index.php/Help:Faceted_browsing_1.5.3
    58. 58. Selected SMW+ Extensions for this Tutorial (2 of 4)Data Browser / Semantic Toolbar / WYSIWYG EditorFlexibly create and curate data in the wiki Use the Data Browser as a single place to view, create, and edit categories, properties, subproperties, and instances Use the Semantic Toolbar while editing pages to add and browse data values WYSIWYG editor allows users to rapidly create compelling pages without having to master specialized wiki markupHelp:http://smwforum.ontoprise.com/mwforum/index.php/Help:Description_of_the_Ontology_browser,http://smwforum.ontoprise.com/smwforum/index.php/Help:Description_of_the_Semantic_toolbar
    59. 59. Selected SMW+ Extensions for this Tutorial (3 of 4) Query Interface Easy query construction with the Query Interface GUI  Creation, testing, loading, editing and re-using of existing queries  Choice of query result formatters (visualizers)  Handles multiple query results and result formats  Search over queriesHelp: http://smwforum.ontoprise.com/smwforum/index.php/Query_Interface
    60. 60. Selected SMW+ Extensions for this Tutorial (4 of 4)Semantic Forms and Automatic Semantic FormsCreate data in the wiki with easy form-based UIs Define form layouts, data validation, and Automatically create forms right on wiki pages, based on the data structure currently in the wiki An easy, familiar way for users to add data to the wikiHelp: http://smwforum.ontoprise.com/smwforum/index.php/Semantic_Formshttp://smwforum.ontoprise.com/smwforum/index.php/Help:Automatic_Semantic_Forms_extension
    61. 61. SMW+ Extensions: Microsoft Office Connector  How do we further embed semantic wikis into corporate practice? – Many users will not use wikis – How do we maximally share data and collaborate?  Leverage the MS Office user base  Microsoft Office Connector – Bring semantic information into Office applications on-demand – Consume and contribute from the Office suite – Use semantic information to enable appropriate actions – Office 2007 and Office 2010  Microsoft Outlook Connector – Bring data into SMW just by emailing it – Automatic metadata extraction65
    62. 62. SMW+ Full Extension SuiteStarts small – grows with useAdd special purpose extensions and manage your wiki installation withthe Wiki Administration Tool
    63. 63. SMW+ Open Source Extension Library (1 of 3)  Usability – Collaboration – The Collaboration Extension enables commenting and rating of wiki articles. – WYSIWYG – The WYSIWYG Extension to MediaWiki replaces the standard MediaWiki editor with the more user-friendly CKeditor. – Rich Media – The Rich Media extension allows the easy upload and embedding of media files such as documents, images, videos and audio files into the wiki. Media files can be attached to related articles and tagged with an enhanced meta-data set. – Semantic Forms – Semantic Forms is an extension to MediaWiki that lets users add and edit data using forms. It is meant to be used for structured data that has semantic markup. – Automatic Semantic Forms –Automatic Semantic Forms extension automatically creates Semantic Forms based on the current Wiki ontology. – Semantic Notifications – Keeps you informed about changes in your semantic data and sends you notifications via email. – User Manual – Provides direct access to help and context-sensitive selection of help pages. Users can submit direct feedback (such as bug issues) and ask questions in the online community.67
    64. 64. SMW+ Open Source Extension Library (2 of 3)  Data Processing – Rule Knowledge – Offers a graphical rule editor for creating logical rules. Rules allow you to state complex interrelations.  Data Re-Use – Data Import – Integrates external data into the wiki via Web Services (SOAP or RESTful) or data import of e.g. CSV files or emails. – Linked Data – Integrates access to data in the Web of Data in SMW+. Data can be imported into the wikis triple store and exported via RDF and a SPARQL endpoint.  Security – Access Control List – Powerful access control for protecting single wiki pages, articles in categories or namespaces and values of semantic properties. Access can be restricted via a Graphical User Interface (GUI) for individual users and user groups.  Data Backend (Jena for open-source; Ontobroker for cost) – Triple Store Connector – Adds a full standards-compliant semantic datastore, with powerful SPARQL queries and data integration support68
    65. 65. SMW+ Open Source Extension Library (3 of 3)  Data Consistency – Semantic Gardening – The Gardening extension lets you detect and clean inconsistencies via automatic bots. It further provides an export functionality for OWL ontologies.  Retrieval – Enhanced Retrieval – Provides a powerful search engine with auto- completion, spell-checking ("did you mean" feature) and advanced search functionalities such as fuzzy and path search. The search covers full text contents (also from uploaded PDF and Word documents) as well as elements from the ontology – Semantic Treeview – Automatically displays a hierarchical view of the selected wiki elements such as categories, articles or semantically annotated data. – Semantic Result Formats – This extension to MediaWiki bundles a number of result formats for inline queries. The individual formats can be added to the installation independently. Download from http://www.smwplus.com69
    66. 66. Tutorial Structure Part I  Wiki and Semantics (Jesse)  Semantic MediaWiki (Jesse)  SMW+ (Mark)  Hands-On Session 1 (All) Part II  Semantic Wikis in Practice (Mark)  Wiki Object Model and Widgets (Jesse, Ning)  Hands-On Session 2 (All)  Connecting to SMW+ (Jesse, Justin)  Wrap Up and Q&A (All)70
    67. 67. Hands-on tasks  Create account  Create a plain new article – plain wiki text editing  Add semantic annotations – Plain wiki text – Data toolbar  Using WYSIWYG editor – Rich text insertion – Using Query Interface to get results  Using Automatic Semantic Forms  Semantic query results of our achievements – Ontology Browser, Visualizations71
    68. 68. Ontologies – Constituents  Ontology entities and their counterpart in the wiki – Category: Wiki page in namespace „Category“ Event – Instance: Any wiki page in the main namespace Semantic Wiki Tutorial – Property: Wiki page in namespace „Property“ attendee
    69. 69. Ontologies – Constituents  Basic ontology statements in the wiki – Is-a: Sub-category relation. Category page tagged with a category. is-a • [[Category:Event]] Workshop Event – Instance-of: Category assertion. Wiki page tagged with a category. • [[Category:Person]] Daniel instance-of Person – Relating instances: Property on a page pointing to another page. • [[Attendee::Daniel]] Semantic Wiki Tutorial attendee Daniel – Attributes for instances: Property on a page with a data value. • [[Budget::300000]] Project X budget 300.000
    70. 70. Ontologies – Properties Properties can have properties (or characteristics) – all characteristics are specified as annotations on the property page  Type – defines the “data type” of the property (see next slide)  Domain - articles of this category can have values for this property.  Range - articles of this category can be objects of this property. Only relevant, if the property is of type is Page.  Allowed values – Defines a set of values which are allowed for this property.  Minimal cardinality - The minimum number of values of the property.  Maximum cardinality - The maximum number of values of the property. This is good for autocompletion, proposing values, and checking validity.
    71. 71. Ontologies – Properties Properties have types:  Type:Page - links to pages (the default)  Type:String - text strings that are not longer than 250 letters  Type:Number - integer and decimal numbers with optional exponent  Type:Boolean - restricts the value of a property to true/false (also 1/0 or yes/no)  Type:Date - specifies particular points in time  Type:Text - like Type:String but can have unlimited length; the trade-off is values of this type cannot be selection or sort criteria in queries..  Other: – Type:Code – Type:Temperature – Type:Telephone number – Type:URL – Type:Email  Help:Properties_and_types_1.5.6
    72. 72. Ontologies – Properties Properties can have properties (or characteristics)  Subproperty of – This property is a specialization of the given property . – On page Property:HasSubtitle: [[Subproperty of::Property:HasTitle]]  Inverse of – This property is an inverse of the given property. • On page Property:HasParent: [[Is inverse of::Property:HasChild]]  Transitivity - Defines that the property is transitive. This field is only enabled, if the propertys type is Page. – On page Property:IsRelatedTo: [[Category:Transitive properties]]  Symmetry - Defines that the property is symmetric. This field is only enabled, if the propertys type is Page. – On page Property:HasBorderWith: [[Category:Symmetrical properties]] This is good for inferring new knowledge.  Help:Specifying_property_properties_1.5.6
    73. 73. Tutorial Structure Part I  Wiki and Semantics (Jesse)  Semantic MediaWiki (Jesse)  SMW+ (Mark)  Hands-On Session 1 (All) Part II  Semantic Wikis in Practice (Mark)  Wiki Object Model and Widgets (Jesse, Ning)  Hands-On Session 2 (All)  Connecting to SMW+ (Jesse, Justin)  Wrap Up and Q&A (All) 79
    74. 74. Semantic Wikis in Practice Mark Greaves
    75. 75. SMW Installations Patterns for applying SMW+ – As a flexible and user-friendly front end to large data resources • Data is mostly provided from databases • Wiki pages provide context for the data and associated queries – As a collaborative knowledge management platform • Semi-structured knowledge: text mixed with database, and user-contributed • Encyclopedia resources for larger organizations – Metadata and data together in one human-readable place On www.smwplus.com – Repository of sample wiki apps (SCRUM, project management, etc.) • Framework to deploy an app with its ontologies and pages – Commercial case studies – SMW Ambassadors Let’s look at some selected SMW installations! 81
    76. 76. SMW Examples: OpenEI.org 82
    77. 77. SMW Examples: SNPedia
    78. 78. SMW Examples: SNPedia
    79. 79. SNPedia wins the “23 and Me” prize
    80. 80. SMW Example: Collaborative Proposal Management Active Bid Viewer Service Desk Selector 86
    81. 81. SMW+ with Automatic Document Annotation 87
    82. 82. Editing the Document Annotations 88
    83. 83. NYC BigApp 2.0 Prize to Revelytix and TCG
    84. 84. SMW+ Example: NYCreation 90
    85. 85. SMW+ Example: NYCMantics 91
    86. 86. SMW Example: Oh Internet 92
    87. 87. SMW Example: SCRUM Coordination Wiki  Augment wiki articles with data  Automatically populate data tables  Bugzilla integration  Calendars and timelines  Basic workflows  SCRUM Reports  Form-oriented inputs  Notifications via email/RSS  MS Office integration 93
    88. 88. What Would an Analytic Encyclopedia Look Like? Back to the original vision: An SMW demo built to explore “Semantic Wikipedia” Wikipedia articles merged with the power of SMW – For Authors: tools to create more compelling articles • Great visualizations: charts, tables, timelines, photos, analytics • Always up-to-date across the Encyclopedia • Encourage data consistency and find data errors • Link in other web data sources – For Readers: • Enhanced articles and data interaction • Faceted navigation • Sophisticated queries (both standing and ad-hoc) Crowdsource data as well as text articles into a queryable, living Wikipedia Leverage the live stream of updates from millions of Wikipedia authors 94
    89. 89. Ultrapedia: An Analytic Encyclopedia Goal: Prototype a small semantic encyclopedia – Create an semantic version of a part of Wikipedia – Software is SMW and the Halo Extensions – Wikipedia-based checking and corrections – Link back to other parts of Project Halo Ultrapedia Prototype Details Class Articles Infobox – Test domain is German cars Articles – ~2500 Wikipedia pages, ~40000 triples Company 134 53 – Private versions of Wikipedia, SMW, OB, and DBpedia hosted at wiking.vulcan.com Person 93 57 – Features Automobile 370 345 • Corrections flow from Wikipedia to Ultrapedia in real time Auto Generation 1480 1380 • Full data source tracking from Wikipedia Engine 135 12 • Wikipedia table ingestion and parsing Other 283 3 • Feedback (user rating) loop for data • New visualizations for tables, charts, photos Totals 2495 1850 • External data integrated into articles • SPARQL-based queries • Derived assertions (via OntoBroker)
    90. 90. Extracting Structured Data from Wikipedia
    91. 91. Extracting Structured Data from Wikipedia Title Domain Description specific Data Images Languages Infobox PropertiesFurther Down Web LinksCategorization
    92. 92. Extracting Data from Wikipedia TablesTableData 98
    93. 93. Ultrapedia Prototype Data Flow Real-time feed of WP changes • Note most WP page changes will be text and have no semantic import Dynamic extraction of WP English Wikipedia subset semantic data into RDF DBpedia update stream WP updates • WP page text updates • User-created page • DBpedia data updates updates in Wikipedia Enhanced Ultrapedia Usability Wikipedia-based Corrections • Familiar WP page text and layout • UP shows the user where to correct • Exhibit-based visualizations data in WP so that DBpedia will extract • Dynamic tables/categories the correction • Ultrapedia exposes the data source in • Faceted navigation terms of where the data was extracted • Queries (both standing and ad-hoc) from WP • Wikitag-based MS Office augmentation • WP changes and corrections get quickly propagated to UP
    94. 94. Demo: Ultrapedia Ultrapedia Demo Domain is German cars  Things to take away – Cars, Companies, Engines, Trans – A better Wikipedia for authors and missions, People, etc. readers – ~2500 pages, ~40000 triples – Interact with data as well as text – Monitor data with standing queries An SMW-based encyclopedia – External data integration via web – Similar look and feel to Wikipedia services (EBay) – Dynamic tables and charts – Powerful queries  Rapid to build – Navigation beyond search – SMW platform is stable – Trustworthy data source – Most time was spent on data – Edit, discuss and rate data cleaning and new visualizations – Data is validated by the Wikipedia community 100
    95. 95. Tutorial Structure Part I  Wiki and Semantics (Jesse)  Semantic MediaWiki (Jesse)  SMW+ (Mark)  Hands-On Session 1 (All) Part II  Semantic Wikis in Practice (Mark)  Wiki Object Model and Widgets (Jesse, Ning)  Hands-On Session 2 (All)  Connecting to SMW+ (Jesse, Justin)  Wrap Up and Q&A (All)101
    96. 96. Data as Fine Objects
    97. 97. Wiki Object Model Motivation Strong needs for access the structured data and unstructured data in the wiki as a data store – From internal and external applications’ point of view A DOM-like approach is good choice – Xpath is a reasonable tool and standard Granularity offers flexibility and power Easier to operate on known objects and calling REST APIs rather than parsing and handling wiki texts Common gateway for both internal and external apps
    98. 98. Wiki Object Model Objects  Page  Category  Section  Link  Parameter  Property  Parameter value  Text  Template  Magic word  Template field  HTML tag  Parser function  Sentence  List item  Word*  Table  Image  Table cell * Not yet implemented as of April 2011104
    99. 99. Demo of WOM  Demo at http://wiking.vulcan.com/dev_sandbox/  Demo 1: APIs  The API is part of MediaWiki API, with our additions to allow get and set (read/write) the content of a wiki page  http://wiking.vulcan.com/dev/index.php/Extension:Wiki_Object_Model/Api s  Demo 2: Inline Editor  A simple inline editor (AJAX styled) to let user modify a specific portion of the wiki page  Based on http://wiking.vulcan.com/dev/index.php/Extension:Wiki_Object_Model/Fun ctions105
    100. 100. A “Designer” Wiki Application Builder106
    101. 101. Usage of SMW Collaboration Collecting structured data Sharing information Management of heterogeneous data Simple workflow management User-generated arbitrary queries Data analysis and information discovery
    102. 102. Common Work Items Schema Design Extension Choice Form Design Template Authoring Skin Customization Query Generation
    103. 103. The Bar to be Expert
    104. 104. Modeling = Yes Coding = No  Most users just like to share or collect contents – CMS: Drupal, WordPress, MW/SMW, … – SNS: MySpace, Ning, WetPaint, LinkedIn, …  Frameworks or applications allow users to focus on content or data
    105. 105.  Code is essential building blocks – Not everyone is good at writing code Frameworks enables “meta-data” use – User: developers or admins – Meta-data drive content Handle Content via meta-data – Parameter configuration Data (Content) Metadata (Configuration) Functions (Code)
    106. 106. Model Metadata Existing examples: – “Allowed values”  Auto-completion in SF – “has default form”  Map form to data (category) We want to enhance the experience – “has range”  auto-completion in Semantic Forms – “has domain”  auto-construct form for the domain – “has label/description”  metadata to use in forms – “has style”  the visual part of customization
    107. 107. A simple workflow wiki application built on top of Widget Designer
    108. 108. Tutorial Structure Part I  Wiki and Semantics (Jesse)  Semantic MediaWiki (Jesse)  SMW+ (Mark)  Hands-On Session 1 (All) Part II  Semantic Wikis in Practice (Mark)  Wiki Object Model and Widgets (Jesse, Ning)  Hands-On Session 2 (All)  Connecting to SMW+ (Jesse, Justin)  Wrap Up and Q&A (All)115
    109. 109. How to create and customize the pages
    110. 110. Recap Access Wiki Content as Fine Objects Designing via metadata modeling Metadata configured by UI Metadata, data and UI are linked – Action Connector A social semantic web application in a day
    111. 111. The Inspiration  We started with a  Now we have an118
    112. 112. Requirements for Wiki “Developers”  One need not – Write code like a hardcore programmer – Design, setup RDBMS or make frequent schema changes – Possess knowledge of a senior system admin  Instead one need – Configure the wiki with desired extensions – Design and evolve the data model (schema) – Design Content • Customize templates, forms, styles, skin, etc.119
    113. 113. Effectiveness of SMW as a Platform Choice Packaged Software SMW + Extensions Custom Development ☺Very quick to ☺ Still quick to N Slow to develop obtain program ☺Extremely flexible N Hard to customize ☺ Easy to customize N High cost to develop N Expensive ☺ Low-moderate cost and maintain  Microsoft Project  Vulcan Project Wiki  .NET Framework  Version One  B.L.S.  J2EE, …  Microsoft  RPI map  Ruby on rails SharePoint120
    114. 114. Tutorial Structure Part I  Wiki and Semantics (Jesse)  Semantic MediaWiki (Jesse)  SMW+ (Mark)  Hands-On Session 1 (All) Part II  Semantic Wikis in Practice (Mark)  Wiki Object Model and Widgets (Jesse, Ning)  Hands-On Session 2 (All)  Connecting to SMW+ (Jesse, Justin)  Wrap Up and Q&A (All)122
    115. 115. Connecting to SMW+ and Consuming Data  Wiki - Microsoft Office Connector – As known as WikiTags – Access wiki content in your Microsoft Office applications  Motivation  Background – Scrum wiki for Agile Software Development  Demo123
    116. 116. SMW:: powerful tools and contents Semantic MediaWiki and related extensions have more potential power
    117. 117. Need Release :: The Power Be used by more people Content in more places Accessible via more applications Enhanced with more semantics
    118. 118. Need :: Workflow Integration + Usability Enhancements Infrequent Wiki users frequently forget where the wiki pages are located Search is a break from current workflow Search result can be noisy or irrelevant Usability: – Wiki/Template/SF markup syntax is not extremely hard, but enough to turn off many users – To locate and consume info in SMW is just not easy enough, need something better Why don’t we leverage Microsoft Office suite?
    119. 119. Microsoft Office :: The Most Popular Productivity Suite 500m users worldwide >90% market share Users live in the “suite” Outlook always open Potential for SMW
    120. 120. MICROSOFT OFFICE CONNECTOR :: How It Works  Leverage Microsoft Office Add-ins technology  Bring SMW info to Office applications on-demand  API for semantic data I/O  Utilize semantics to improve relevance  Smart actions for semantic properties
    121. 121. Before the demo, let’s look a data wikiAGILE PROJECT MANAGEMENT
    122. 122. Wiki :: Agile Project Management – Scrum++Project WikiforMilestones, UserStories, Developer Tasks, etc.Page is form-based, withqueries andsemantics built-in
    123. 123. For more info, go to http://wiking.vulcan.com/dev/Now see the demoLIVE ACTIONS
    124. 124. Backstage::Semantic Wiki Object Model Wiki Validation  To get page info Authentication  Get all forms related info To get the categories  Edit and save page w/ form – And descriptions  Change a property To get the article titles  Set form of a page To get the semantic  Create form templates properties  To upload into the Wiki http://wiking.vulcan.com/dev/index.php/SMW_Webservice_APIs
    125. 125. Microsoft Office Connector Smart Connections• Consume relevant, targeted information – With the tools you are already familiar with – In the context – better relevance and productivity – In place – no search overhead to break workflow – In real time – data from wiki is live – Automatically – linking to wiki• Let you contribute to Wiki – Without knowing where the content is – Without learning wiki/template syntax
    126. 126. Tutorial Structure Part I  Wiki and Semantics (Jesse)  Semantic MediaWiki (Jesse)  SMW+ (Mark)  Hands-On Session 1 (All) Part II  Semantic Wikis in Practice (Mark)  Wiki Object Model and Widgets (Jesse, Ning)  Hands-On Session 2 (All)  Connecting to SMW+ (Jesse, Justin)  Wrap Up and Q&A (All)135
    127. 127. Openness of SMW as a Platform136
    128. 128. Summary: SMW and Applications  Semantic MediaWiki combines the power of semantics with wiki’s usability and social ingredients  Semantic MediaWiki + wide range of extensions make it a great choice for knowledge management and acquisition  Semantic MediaWiki evolves into a potential application development platform for social semantic web – Fits into cost-effective sweet spot137
    129. 129. Questions?138
    130. 130. Backup slides start here…139
    131. 131. Questions about SMW in Enterprise and Government  SMW in a multi-datasource environment – Microsoft Office plugin experience?  Usability – User-level authoring of ontology information – useful? – What is the next necessary visualization? – How do you manage ontology/data evolution  Deployability in the enterprise  Is the current level of security sufficient?  Where is SMW weakest?140
    132. 132. Wikipedia for Porsches (Acceleration Data Example)  Information Need: All Porsche models that accelerate 0- 100kph in under 5, 6, and 7 seconds
    133. 133. More Porsche Acceleration Data in Wikipedia
    134. 134. Ultrapedia Main Page Main Page
    135. 135. Semantics for Improved Wiki NavigationTree View Control Abstract/Summary quick preview
    136. 136. The Porsche 996 Acceleration Table In Ultrapedia
    137. 137. Same Table as a Query
    138. 138. Dynamically-Generated Tables forfast? Which Porsches accelerate Queries  Information Need: All Porsche models that accelerate 0- 100kph in under 5, 6, and 7 seconds
    139. 139. Graph Views of the Acceleration Data
    140. 140. External Data via a Live Ebay Query
    141. 141. Linking to External Ebay Data
    142. 142. Photos in Mercedes-Benz E-class W212 Gallery Section Wiki Articles as Data
    143. 143. Timelines from Data Production Timeline View Volkswagen
    144. 144. Dynamic Mapping and Charting
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