From Data Chaos to Actionable Intelligence: How the Convergence of the GeoWeb and Semantic Web is Revolutionizing the Way We Process Information - PowerPoint PPT Presentation

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From Data Chaos to Actionable Intelligence: How the Convergence of the GeoWeb and Semantic Web is Revolutionizing the Way We Process Information

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Title: From Data Chaos to Actionable Intelligence: How the Convergence of the GeoWeb and Semantic Web is Revolutionizing the Way We Process Information


1
From Data Chaos to Actionable Intelligence How
the Convergence of the GeoWeb and Semantic Web is
Revolutionizing the Way We Process Information
Sean Gorman FortiusOne
2
AKA Trying to GeoHack Without Getting Arrested
3
Anthony Townsend
Paul Torrens
Martin Dodge
Matt Zook
Steve Coast
Geography of the Web
4
Big Data Sets
Algorithmic Analysis
Map Logical Results to Physical Realities
5
NYSE SIAC Routing Vulnerabilities
6
Then these guys show up
7
Then these guys rescue you
8
(No Transcript)
9
Geography on the Web
10
Small data sets with largely unstructured content
11
Crowdsourcing large structured data sets with
quantitative capabilities
12
Didnt we try this last year?
13
What happens when your database reaches
1,683,185,246 features
14
(No Transcript)
15
Rinse and repeat per query type
16
or
17
Build a lightweight object database
18
(No Transcript)
19
(No Transcript)
20
Infochimps.org
OpenLocation
Lots of silos of GeoData how can we begin to
interconnect them
21
Can we federate our data
22
OpenLocation
Linked repositories of data form a graph of
content
23
Third Party URL Y
User adds structured dataset X to their 3rd
Party URL string Y
Node Y is connected to Node X by the link
User Action
Structured Dataset X
24
Third Party URL Y
Third Party URL Z
Structured Dataset X
Data Set Degree
X 2
Y 1
Z 1
25
Creates the Ability to Intelligently Serve Content
User searches on a term and gets a result based
on tags and full text query then weighted by
degree and user ratings
Structured Dataset X
The graph can be encapsulated in code and
communicated to the outside world
Third Party URL Y
Third Party URL Z
The system can now recommend data URL Y and Z
as data that may be useful context for dataset
X even though they may have no tags in common
26
1. Bring a new class of content/data to the Web
2. Intelligently mix that content with the rest
of the Web
3. Enable the content to answer meaningful
questions for users
27
If you would like to check out the Finder! Beta
see us for a card or go here
http//finder.geocommons.com/
If you would like to talk about federating
geodata email me at
sean_at_fortiusone.com
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