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Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
Jist tutorial   semantic wikis and applications
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

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.
  • Transcript

    • 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. Your Instructors Jesse Mark Justin Ning2
    • 3. Who is Vulcan3
    • 4. What does Vulcan do4
    • 5. It all began with an idea…5
    • 6. Now the Idea Continues as Project Halo6
    • 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. 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. IntroductionWIKI AND SEMANTICS
    • 10. edit wow. I can change the web. let’s share and publish knowledge, to make an [[encyclopedia]]!
    • 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. 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. 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. A Key Feature of Wiki This distinguishes wikis from other publication tools
    • 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. 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. Success of Wikis
    • 18. Leverage Crowd’s Wisdom
    • 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. Wiki Clock http://pageoftext.com/wikiclock
    • 21. edit edit
    • 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. How Wikipedia Answers – List! http://en.wikipedia.org/wiki/List_of_fastest_ cars_by_acceleration
    • 24. Going Deeper http://en.wikipedia.org/wiki/List_of_German_cars
    • 25. Deeper…
    • 26. And Deeper…28
    • 27. And Now…
    • 28. Look into List in Wikipedia http://en.wikipedia.org/wiki/List_of_German_cars
    • 29. Editing Standard Wiki Article – Static List
    • 30. Static List, Tables, … http://en.wikipedia.org/wiki/List_of_lists_about_Oregon
    • 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. 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. 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. Two Perspectives Wikis for Metadata Metadata for Wikis
    • 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. 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. 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. 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. 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. 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. 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. An Extension to MediaWikiSEMANTIC MEDIAWIKI
    • 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. 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. 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. 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. 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. 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. 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. External data reuseExport formats RDF/XML SPARQL end points RDFa CSV JSON iCal vCard Bibtex
    • 51. Extensible architecture Built on MediaWiki Small core SMW Extension hooks of its own Allow apps on top of it
    • 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. 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. The Goal of SMW+ SMW+ halo extensions
    • 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. 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. 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. 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. 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. 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. 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. SMW+ Full Extension SuiteStarts small – grows with useAdd special purpose extensions and manage your wiki installation withthe Wiki Administration Tool
    • 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. Semantic Wikis in Practice Mark Greaves
    • 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. SMW Examples: OpenEI.org 82
    • 77. SMW Examples: SNPedia
    • 78. SMW Examples: SNPedia
    • 79. SNPedia wins the “23 and Me” prize
    • 80. SMW Example: Collaborative Proposal Management Active Bid Viewer Service Desk Selector 86
    • 81. SMW+ with Automatic Document Annotation 87
    • 82. Editing the Document Annotations 88
    • 83. NYC BigApp 2.0 Prize to Revelytix and TCG
    • 84. SMW+ Example: NYCreation 90
    • 85. SMW+ Example: NYCMantics 91
    • 86. SMW Example: Oh Internet 92
    • 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. 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. 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. Extracting Structured Data from Wikipedia
    • 91. Extracting Structured Data from Wikipedia Title Domain Description specific Data Images Languages Infobox PropertiesFurther Down Web LinksCategorization
    • 92. Extracting Data from Wikipedia TablesTableData 98
    • 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. 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. 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. Data as Fine Objects
    • 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. 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. 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. A “Designer” Wiki Application Builder106
    • 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. Common Work Items Schema Design Extension Choice Form Design Template Authoring Skin Customization Query Generation
    • 103. The Bar to be Expert
    • 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.  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. 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. A simple workflow wiki application built on top of Widget Designer
    • 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. How to create and customize the pages
    • 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. The Inspiration  We started with a  Now we have an118
    • 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. 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. 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. 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. SMW:: powerful tools and contents Semantic MediaWiki and related extensions have more potential power
    • 117. Need Release :: The Power Be used by more people Content in more places Accessible via more applications Enhanced with more semantics
    • 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. 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. 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. Before the demo, let’s look a data wikiAGILE PROJECT MANAGEMENT
    • 122. Wiki :: Agile Project Management – Scrum++Project WikiforMilestones, UserStories, Developer Tasks, etc.Page is form-based, withqueries andsemantics built-in
    • 123. For more info, go to http://wiking.vulcan.com/dev/Now see the demoLIVE ACTIONS
    • 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. 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. 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. Openness of SMW as a Platform136
    • 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. Questions?138
    • 130. Backup slides start here…139
    • 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. Wikipedia for Porsches (Acceleration Data Example)  Information Need: All Porsche models that accelerate 0- 100kph in under 5, 6, and 7 seconds
    • 133. More Porsche Acceleration Data in Wikipedia
    • 134. Ultrapedia Main Page Main Page
    • 135. Semantics for Improved Wiki NavigationTree View Control Abstract/Summary quick preview
    • 136. The Porsche 996 Acceleration Table In Ultrapedia
    • 137. Same Table as a Query
    • 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. Graph Views of the Acceleration Data
    • 140. External Data via a Live Ebay Query
    • 141. Linking to External Ebay Data
    • 142. Photos in Mercedes-Benz E-class W212 Gallery Section Wiki Articles as Data
    • 143. Timelines from Data Production Timeline View Volkswagen
    • 144. Dynamic Mapping and Charting

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