Phase2 OpenPublish Presentation SF SemWeb Meetup, April 28, 2009

  • 1,988 views
Uploaded on

Presentation on the new OpenPublish platform - built on Drupal 6 and OpenCalais - by Jeff Walpole, CEO, and Frank Febbraro, CTO, Phase2 Technology.

Presentation on the new OpenPublish platform - built on Drupal 6 and OpenCalais - by Jeff Walpole, CEO, and Frank Febbraro, CTO, Phase2 Technology.

More in: Technology
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
  • Hi there -- best bet for more detailed info would be to see the OpenPublish site here: http://www.opensourceopenminds.com/openpublish

    You can also ask specific questions of the OpenPublish architect Fran Febbraro via Twitter at @Febbraro. http://twitter.com/febbraro

    If you are just seeking to use the Calais modules for Drupal, you can find them here: http://drupal.org/project/opencalais

    Frank also created these.
    Are you sure you want to
    Your message goes here
  • Have you some note or a video from this presentation.

    it's difficult to find enough information of the slides especialy regarding topichubs.

    I can realy find any step by step use of this Drupal module.
    Are you sure you want to
    Your message goes here
No Downloads

Views

Total Views
1,988
On Slideshare
0
From Embeds
0
Number of Embeds
3

Actions

Shares
Downloads
62
Comments
2
Likes
10

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. Drupal, Calais & the Semantic Web
    • Prepared by Frank Febbraro, CTO & Presented by Jeff Walpole, CEO
  • 2. Introductions (and sizing each other up)
    • Raise your hand if you are a…
      • Technologist?
      • Journalist?
      • SemHead?
    • Raise your hand if you use or have used Drupal?
    • Calais API?
    • Lets play word association…
      • Linked data
      • RDF
      • SPARQL
      • GRDDL
  • 3. Publishing tech Phase2 is working on
    • CMS frameworks
    • Drupal & Java Development
    • Taxonomy solutions
    • Geo-tagging & Mapping
    • Charting & Graphing Data
    • Semantic Web integration
    • Open Data/APIs
    • Topic Hubs
    • Publishing workflow
    • Feed Syndication
    • Buzz and topic trend monitoring
    • Community collaboration sites
    • Multi-site & virtual site CMS architecture
    • An open source CMS installation specifically for publishers – called OpenPublish
  • 4.
    • We heart Drupal
    Drupal
  • 5. Why We use Drupal for CMS
    • Performance/Reliability: Dozens of major publishers turn to Drupal and tens of thousands of high traffic sites because it is an enterprise class platform
    • Ease/Expense of Implementation: As one of the leading shops developing for this platform, we can be as efficient as anyone and this platform is our preferred technology.
    • Evolving Technology Extensibility: You need something modular/extensible that allows you to add new features easily and we know this is possible with Drupal.
    • Easier Modular Enhancements: Drupal's architecture is modular and integrates well without requiring customization to core components that would make them difficult to maintain.
    • P2 Expertise: Our entire development staff of 12+ developers can support you on Drupal and we are known as one of the top firms in the country.
    • Large Community Support: You need a community that is active, robust, responsive and growing. We are involved in the Drupal community and have an ear to the ground on features and changes that would affect your site.
    • Easy Staff Training: The Drupal CMS is intuitive and we are well versed in training others to use it. To support training, there are numerous videos, online tutorials, local classes and even books on how it works.
    • Decreased Support Costs: Publishers find they can do a lot more themselves and when they do need help, the time is a fraction of what a proprietary CMS would cost for similar changes.
  • 6. Drupal Semantic Modules
    • rdf, rdf cck, foaf, relations, sparql, sioc, calais collection
    http://www.youtube.com/watch?v=r4WgTRIRoa0
  • 7. The Calais API
    • connect. everything.
  • 8. How does Calais work?
    • Categorizes and metatags the people, places, companies, facts and events in your content to make it ‘machine-readable,’ and returns that metadata to you.
    • Makes connections between the entities in your content and related data in Wikipedia , GeoNames , the IMDB , Shopping.com and more
    • Empowers you to share your metadata with search engines, news aggregators, ‘related stories’ applications and others in the content ecosystem.
  • 9. <Acquisition offset=&quot;494&quot; length=&quot;130&quot;>   <Company_Acquirer>Reuters</Company_Acquirer>   <Company_Acquired>ClearForest Ltd.</Company_Acquired>   <Status>Planned</Status> </Acquisition> <Company>Reuters</Company> <Company>ClearForest Ltd.</Company> Reuters Announced the Acquisition of ClearForest New York - April 30, 2007 Reuters, the global information company, has entered into an agreement to acquire all of the outstanding shares of ClearForest Ltd., a privately held provider of Text Analytics solutions, whose tagging platform and analytical products allow clients to derive precise business information from huge amounts of textual content. ClearForest has received sufficient shareholder approval to complete the transaction, which is expected to close in approximately 30 days, subject to customary closing conditions. The financial terms were not disclosed. Reuters plans to retain and continue to work with the existing management team and their highly skilled workforces in the US and Israel. It also plans to continue to support existing products and customers. Reuters believes that search will be a pivotal element to the future of how financial information is sourced and consumed. As part of its drive into this space, Reuters has created a new strategic group and appointed Gerry Campbell, who will oversee the integration of ClearForest and drive this innovation. <Product>Text Analytic Solution </Product> <Company>ClearForest Ltd.</Company> <Company>Reuters</Company> <Country>United States</Country> <Country>Israel</Country> <Company>Reuters</Company> <Person>Gerry Campbell</Person> <ManagementChange offset=&quot;2789&quot; length=&quot;92&quot;> <Person>Gerry Campbell</Person> <Company>Reuters</Company> <Action>Enters</Position> </ManagementChange> What Would that Look Like (in code)? <Topic>M&A</Topic>
  • 10.
    • Calais Collection
    Drupal Calais for Drupal
  • 11. What does Calais for Drupal Look Like?
    • suggest terms allowing full user control of the tagging (think of del.icio.us recommending tags).
  • 12. Calais Terms or Taxonomy Terms?
  • 13. configure per node type
  • 14. save. magic happens.
  • 15. Too much information? Limit it.
  • 16. autodiscovery, what’s that mean?
  • 17. RDF for your nodes
  • 18. LOOK AWAY!!!!!!!
  • 19.
    • More Like This
    Drupal Calais for Drupal More Like This Topic Hubs Geo
  • 20. automatically prefill from Calais
  • 21. configure threshold
  • 22. relevant on-site content to browse
  • 23. relevant news from the web
  • 24.
    • self organizing content
    Drupal Calais for Drupal More Like This Topic Hubs Geo
  • 25. create a contextual expression
  • 26. configure plugins (or define your own)
  • 27. tell your story
  • 28. show content in various contexts
  • 29. they are panels, so rearrange
  • 30.
    • Linked Data
    Drupal Calais for Drupal Linked Data More Like This Topic Hubs Geo
  • 31. Linked Data Datasets
  • 32. Linked Data
    • it’s all about the URIs
    • Drupal: http:// dbpedia.org /resource/Drupal
    • Washington DC: http://d.opencalais.com/er/geo/city/ralg-geo1/f497898f-2b9b-7cda-ec7b-85d896acbe3e
    • Calais linked data for humans
  • 33. Calais linked data RDF
  • 34. hello dbpedia (for geeks)
  • 35. Calais geo config
  • 36. on a map, but wait, there’s more
  • 37. dbpedia data (or other sources)
  • 38. semantic company data
  • 39. company data from dbpedia
  • 40. Calais URI for Toyota
  • 41. Get the next link to follow
  • 42. SPARQL query to get the data from DBPedia
  • 43. render it to html, voilà
  • 44.
    • Marmoset: microformats for search agents
    Drupal Calais for Drupal Linked Data More Like This Topic Hubs Geo Marmoset
  • 45. The Big Picture – OpenPublish Drupal Calais for Drupal Linked Data More Like This Topic Hubs Geo Marmoset
  • 46.
    • http ://opensourceopenminds.com/openpublish
  • 47. Enough Talk - lets see a demo…
  • 48. Q&A