SemWeb install-fest presentation
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Presentation for developers about what Zemanta API can do for you.
![Building upon the Zemanta API Andraz Tori, CTO [email_address] Twitter: andraz](https://image.slidesharecdn.com/semweb-installfest-091115201559-phpapp02/85/SemWeb-install-fest-presentation-1-320.jpg)
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SemWeb install-fest presentation
- 1. Building upon the Zemanta API Andraz Tori, CTO [email_address] Twitter: andraz
- 4. Examples, demos & use-cases
- 5. What does it do?
- 6. A Stargate Computer Processable Data Human Understandable Text
- 9. Avoid proprietary entity identifiers or taxonomies
- 10. Standard response formats: JSON, XML, RDF/XML
- 12. Categories
- 14. Related articles
- 15. Related images Most used Most interesting Most obvious
- 18. What the text is about as a whole
- 19. What concepts were not mentioned, but could be relevant (for SEO)
- 22. Good for content organization, ad-targeting, etc
- 24. An ageing vigilante, The Comedian, is attacked in his high-rise apartment before being hurled 10 storeys to his death... in graphic slow motion. What follows is a two-and-three-quarter hour epic that centres on an outlawed group of deeply flawed former heroes as a Cold War Doomsday clock inches ever closer to midnight and nuclear apocalypse.
- 25. First published in 12 parts by DC Comics in 1986, Watchmen was written by the British team of Alan Moore and illustrator Dave Gibbons.
- 35. An ageing vigilante, The Comedian, is attacked in his high-rise apartment before being hurled 10 storeys to his death... in graphic slow motion. What follows is a two-and-three-quarter hour epic that centres on an outlawed group of deeply flawed former heroes as a Cold War Doomsday clock inches ever closer to midnight and nuclear apocalypse.
- 36. First published in 12 parts by DC Comics in 1986, Watchmen was written by the British team of Alan Moore and illustrator Dave Gibbons.
- 39. At least one URL for each concept, possibly more
- 41. Mine the web
- 42. Use knowledge from choices of our users
- 43. Use both semantic data and statistics based methods
- 46. Step 2 : Then you look up the information about them (connections, images, …) in your or third party databases
- 47. Step 3 : ?
- 48. Step 4 : Profit!
- 50. Rescue boats and ferries are alongside the plane attempting to pick up people standing on both of the plane's wings.
- 51. The plane, which the FAA said was flight 1549 from LaGuardia Airport to Charlotte, is partially submerged.
- 52. It is not known how the plane came to land in the river, but the FAA said it might have been due to a bird strike.
- 54. Rescue boats and ferries are alongside the plane attempting to pick up people standing on both of the plane's wings.
- 55. The plane, which the FAA said was flight 1549 from LaGuardia Airport to Charlotte , is partially submerged.
- 56. It is not known how the plane came to land in the river, but the FAA said it might have been due to a bird strike . entities concepts
- 57. Or more precisely... LaGuardia Airport http://rdf.freebase.com/ns/guid/9202a8c04000641f800000000018f654 LaGuardia Airport http://dbpedia.org/resource/LaGuardia_Airport Federal Aviation Administration http://rdf.freebase.com/ns/guid/9202a8c04000641f8000000000017df0 Federal Aviation Administration http://dbpedia.org/resource/Federal_Aviation_Administration Hudson River http://rdf.freebase.com/ns/guid/9202a8c04000641f800000000005ebb5 Hudson River http://dbpedia.org/resource/Hudson_River Airbus A320 family http://rdf.freebase.com/ns/guid/9202a8c04000641f800000000012f918 Airbus A320 family http://dbpedia.org/resource/Airbus_A320_family Bird strike http://rdf.freebase.com/ns/guid/9202a8c04000641f80000000004744df Bird strike http://dbpedia.org/resource/Bird_strike US Airways http://rdf.freebase.com/ns/guid/9202a8c04000641f80000000001b4dc5 US Airways http://dbpedia.org/resource/US_Airways New York http://rdf.freebase.com/ns/guid/9202a8c04000641f800000000054dd5d New York http://dbpedia.org/resource/New_York Charlotte, North Carolina http://rdf.freebase.com/ns/guid/9202a8c04000641f800000000006e148 Charlotte, North Carolina http://dbpedia.org/resource/Charlotte%2C_North_Carolina Ferr http://rdf.freebase.com/ns/guid/9202a8c04000641f8000000000063292 Ferry at http://dbpedia.org/resource/Ferry
- 58. You can query relationships http://test.infoblow.zemanta.com/infoblow/galaxy/
- 59. Or more complex ones...
- 62. Automatic deep information delivery (hoovers, widgets)
- 65. Types: human, building, location...
- 66. Relationships with other entities
- 67. Hard data: dates, places, amounts
- 68. Connected Dream? September 2008
- 69. Connected Dream? July 2009
- 71. Pulling together custom data becomes orders of magnitude easier
- 72. However we still miss strong success stories
- 74. You can provide your own list of feeds to recommend from
- 75. Or use our 'global whitelisted pool'
- 77. Information discovery (for authors)
- 78. Creating interlinked mini-comunities (example: bloggers using our tool to discover others in the niche)
- 80. We filter totally unacceptable licenses out, keep the rest
- 81. Each image has a license spelled out, developer/author choses
- 83. Examples in Java, Javascript, Python, Ruby, PHP, Perl, C#...
- 84. JavaScript SDK for quick custom CMS integration
- 85. Up to 10.000 requests/day free!
- 87. args = {'format': 'json',
- 92. 'text': ''' Branded "unfilmable", Watchmen - the cult graphic novel about a group of retired, flawed superheroes - has finally made it to the big screen. From the second the opening credit An ageing vigilante, The Comedian, is attacked ...
- 93. '''}
- 95. response_raw = urllib.urlopen(„ http://api.zemanta.com/services/rest/0.0/ “, args_enc).read()
- 99. Tweets!
- 100. Wherever you need to go from text documents to something structured to put into your algorithm/data store
- 101. Some API users
- 103. Analysis of tweets – used by Klout.net
- 104. Custom categorization – used by Slideshare
- 105. Semantic tagging – used by Faviki
- 107. RDFa as a transport layer
- 108. Freebase & LOD as vocabularies
- 109. Full-circle ecosystem from day one (publishers, services, better search, better browsing)
- 110. The next web ... the next web will be like a great party host , introducing us to each other and bringing us together into meaningful conversation. Marta Strickland, Organic
- 111. The future? Zemify me up, Scotty ! Andraz Tori [email_address] Twitter: andraz
Notas del editor
- Cross domain – we didn't start with financial or health domain and then expanded our algorithms, we started from day one with cross domain capabilities
- Tags have no background meaning, they are not tied to any database and they are not normalized in any way. They are what you would expect of a human not caring for standardization or normalization to choose from For example text mentioning Apple, Android and Google might get iPhone as a tag And mobile web as a tag, even when it wasn't mentioned anywhere.
- Tags have no background meaning, they are not tied to any database and they are not normalized in any way. They are what you would expect of a human not caring for standardization or normalization to choose from For example text mentioning Apple, Android and Google might get iPhone as a tag And mobile web as a tag, even when it wasn't mentioned anywhere.
- Disambiguation is done using background knowledge, for example we differ between London the city in UK, London in Ohio or Texas and Jack London, the writer
- We are big fans of Freebase and Linking Open Data project
- Zigtag, Faviki, AdpativeBlue, Zemanta, Yahoo, Freebase
- Disambiguation is done using background knowledge, for example we differ between London the city in UK, London in Ohio or Texas and Jack London, the writer