1.
Semantic Technology Solutions for Gov 2.0:
Citizen-Friendly Recovery.gov and Data.gov with
Transparency, Openness & Collaboration
Mills Davis, Project10X
May 13, 2009
7:00-7:45 pm
Washington Semantic Meet-up
George Mason University

2.
Semantic Technology Solutions for Gov 2.0 | Introduction 2
Mills Davis
Mills Davis is founder and managing director of
Project10X — a Washington, DC based research
consultancy specializing in next wave semantic
technologies, solutions, and business models. The firmʼs
clients include technology manufacturers, global 2000
corporations, government agencies, and web 3.0 start-
ups. Mills serves as principal investigator for the
Semantic Wave research program. A noted consultant
and industry analyst, he has authored more than 100
reports, whitepapers, articles, and industry studies.
Mills is active in both government and industry-wide
technology initiatives that are advancing semantic
mdavis@project10x.com technologies. He co-chairs the Federal Semantic
Interoperability Community of Practice (SICoP). Mills is a
1-202-667-6400
founding member of the AIIM interoperable enterprise
content management (iECM) working group, and a
founding member of the National Center for Ontology
Research (NCOR). Also, he serves on the advisory
board of several new ventures in the semantic space.

3.
Semantic Technology Solutions for Gov 2.0 | Introduction 3
Semantic Wave Research
NEW

4.
Semantic Technology Solutions for Gov 2.0 | Introduction 4
Topics
Where are semantic technologies and the next internet taking us?
What is the Obama administration’s directive for transparency, openness,
and collaboration?
How can we exploit cloud computing, web 2.0, and web 3.0 semantic
technologies to build citizen-friendly recovery.gov and data.gov?
Demo: Using Cambridge Semantics’ Anzio in support of recovery.gov
Call to action: demonstrate citizen-friendly semantic solutions for
recovery.gov and data.gov, with transparency, openness & collaboration!

5.
Where are web 3.0, semantic technologies,
and the next internet taking us?
• What is the evolution of the • What key ideas motivate
internet to 2020? Web 2.0 services?
• What are characteristics of the • What is Web 3.0?
next internet?
• What are semantic technologies?
• What technologies are shaping • What is the value space of
the next internet? semantic technologies?
• What is cloud computing? • How do semantic technologies
• What is Web 2.0? tap new value?
• What are representative • What is Web 4.0?
elements of Web 2.0?
• What is ubiquitous mobility?

6.
Semantic Technology Solutions for Gov 2.0 | Where are web 3.0, semantic technologies, and the next internet tacking us? 6
What is the evolution of the internet to 2020?
A tidal wave of four internet growth stages.
The chart to the right depicts four stages
of internet growth.
Web 1.0, was about connecting
information and getting on the net.
Web 2.0 is about connecting people —
putting the “I” in user interface, and the
“we” into webs of social participation.
Web 3.0 is starting now. It’s about
representing meanings, connecting
knowledge, and putting these to work in
ways that make our experience of internet
more relevant, useful, and enjoyable.
Web 4.0 will come later. It is about
connecting intelligences in a ubiquitous
web where both people and things
reason and communicate together.
Over the next decade, semantic
technologies will spawn multi-billion dollar
technology markets that will drive trillion
dollar global economic expansions to
transform industries as well as our
experience of the internet.

7.
Semantic Technology Solutions for Gov 2.0 | Where are web 3.0, semantic technologies, and the next internet tacking us? 7
What are characteristics of the next internet?
Internet of services, things, and 3D interactivity.
Virtualized infrastructure & everything as a service.

8.
8
Semantic Technology Solutions for Gov 2.0 | Where are web 3.0, semantic technologies, and the next internet tacking us?
What technologies are shaping the next internet?
Cloud computing, Web 2.0, and Web 3.0 semantic technologies.
From analog media, to digital data, to social media,
to concept-based networked knowledge computation.

9.
Semantic Technology Solutions for Gov 2.0 | Where are web 3.0, semantic technologies, and the next internet tacking us? 9
What is cloud computing?
Scalable, on-demand, click-and-run, pay-by-the-drink
resources and services provisioned over the internet.

10.
Semantic Technology Solutions for Gov 2.0 | Where are web 3.0, semantic technologies, and the next internet tacking us? 10
What is Web 2.0?
A web of participation.
Web 2.0 is the social web that connects people. It is a web
of participation. Putting the “I” in UI. And the “we” in web.
Users consume & create. Sites are interactive, for example:
blogs–keep a web-diary; Wikipedia — free encyclopedia,
anyone edits; Del.icio.us — social bookmarking; mySpace,
Facebook & openBC – cultivate social relations; Flickr
— share photos; and YouTube–broadcast yourself.
According to Tim OʼReilly, several principles distinguish
web 2.0, for example:
(1) the web as platform
(2) harnessing collective intelligence
(3) data is the next Intel inside
(4) end of the software release cycle
(5) lightweight programming models
(6) software above the level of a single device, and
(7) rich user experiences.
In addition Web 2.0 approaches embrace: remixing data
and services; relation-orientation; the long tail; and bi-
directional interaction. Web 2.0 social computing has both
consumer and enterprise impacts.
Source: EbOY

11.
Semantic Technology Solutions for Gov 2.0 | Where are web 3.0, semantic technologies, and the next internet tacking us? 11
What are representative elements of Web 2.0?
User experience, rich media, social computing, and collaboration.
User Experience Rich Media

12.
Semantic Technology Solutions for Gov 2.0 | Where are web 3.0, semantic technologies, and the next internet tacking us? 12
What key ideas motivate web 2.0 services?
Web-as-platform. Provide a sandbox. Data and users are king.

13.
Semantic Technology Solutions for Gov 2.0 | Where are web 3.0, semantic technologies, and the next internet tacking us? 13
What is Web 3.0?
A web of meanings and connected knowledge.
Web 3.0 is the third stage of internet evolution that is
starting now. It is a web of meanings. It connects
knowledge. It represents meanings and knowledge about
things so both computers and people can work with them. It
adds new levels of intelligence to the user interface, social
collaboration, applications, and the infrastructure of the
web.
Web 3.0 is not about re-inventing the internet; itʼs about
making the internet more useful, and our experience of it
better. Web 3.0 makes the internet more connected, open,
and intelligent. Users are served by systems that present
personalized information, are context-aware, can link and
share information in relevant ways, connect with relevant
people, better organize the digital life, combine and
integrate processes, arrange dates and tasks, give
meaningful answers instead of data in bulk.
Semantic technologies tap new value by modeling
knowledge, adding intelligence, and enabling learning.
Web 3.0 gives us architectures of learning and knowing over and above
architectures of social participation and “perpetual beta” that emerged
during web 2.0. Web 3.0 systems will gain new knowledge and get better
with use and with scale of adoption.
Source: Mills Davis, Project10X

14.
Semantic Technology Solutions for Gov 2.0 | Where are web 3.0, semantic technologies, and the next internet tacking us? 14
What are semantic technologies?
Semantic technologies are tools and methods that represent
knowledge separately from documents, data, and program code.
• All programming methods represent knowledge some way in order to
compute using it.
• Knowledge structures that represent meanings, associations, theories,
and know-how about the uses of things are called ontologies.
• Fixed ontologies are relatively static. A general ledger is an example.
Dynamic ontologies have evolving requirements. Linking and making
sense of diverse information sources across the web, and presenting
results multiple ways in differing contexts is an example.
• Web 2.0 and Web 3.0 technologies both can process fixed ontologies that
describe resources, services, information, and computing infrastructure.
Semantic technologies are required when solutions involve knowledge
structures that are changing and dynamic. Use the right tool for the job.
• Recovery.gov and data.gov require both Web 2.0 and Web 3.0
semantic technology approaches.

15.
Semantic Technology Solutions for Gov 2.0 | Where are web 3.0, semantic technologies, and the next internet tacking us? 15
What is the value space of semantic technologies?
Four dimensions that matter include: capability, performance,
user experience, and life cycle economics.
The value space of semantic technologies has four
dimensions or axes: capability, performance, user Capability
experience, and life cycle economics.
Capabilities — Semantic technologies and solution
patterns tap new value by modeling knowledge, adding
User
intelligence, and enabling learning.
Performance
Experience
User experience — Adding intelligence to the UI
increases relevance, helpfulness, utility, and pleasure as
experienced by the user: both individually and as groups.
Life Cycle
Performance — Semantic solutions drive gains in
Economics
efficiency and effectiveness, and provide strategic edge.
Life cycle economics — Semantic solutions improve
the ratio of benefits to cost and risk over the life of the
investment: development, operations, and evolution.

16.
Semantic Technology Solutions for Gov 2.0 | Where are web 3.0, semantic technologies, and the next internet tacking us? 16
How do semantic technologies tap new value?
By modeling knowledge, adding intelligence, and enabling learning.
2007, 2008 Copyright MILLS•DAVIS. All rights reserved

17.
Semantic Technology Solutions for Gov 2.0 | Where are web 3.0, semantic technologies, and the next internet tacking us? 17
Does semantic computing at web scale in the cloud
apply to more than government?
Absolutely.
blackbook2
Source: BlackBook2, Scott Streit Source: LarKC

18.
Semantic Technology Solutions for Gov 2.0 | Where are web 3.0, semantic technologies, and the next internet tacking us? 18
What is the path from search to knowing?
More expressive knowledge representation enables more powerful
reasoning: from recovery, to discovery, to intelligence, to question
answering, to smart behaviors.

19.
Semantic Technology Solutions for Gov 2.0 | Where are web 3.0, semantic technologies, and the next internet tacking us? 19

20.
Semantic Technology Solutions for Gov 2.0 | Where are web 3.0, semantic technologies, and the next internet tacking us? 20
What is next generation semantic collaboration?
Combining wikis, semantic content tools, semantic search,
ontology-driven applications, and intelligent user interfaces.
Future
MediaWiki Semantic SMW+
Semantic
MediaWiki Semantic
Wikis
MediaWiki+
Natural language
Wikipedia Dbpedia Desktop import
Transemiotics
Read/Write Linked Data Ontology mgmt
Machine learning
Semantic search
Multi-agent apps
Semantic apps

21.
21
Semantic Technology Solutions for Gov 2.0 | Where are web 3.0, semantic technologies, and the next internet tacking us?
What are next generation STM semantic applications?
Ontology-driven, active, immersive, adaptive, dynamic, and smarter.

22.
Semantic Technology Solutions for Gov 2.0 | Where are web 3.0, semantic technologies, and the next internet tacking us? 22
What is Web 4.0?
A web of connected intelligences.
Web 4.0 is the ubiquitous web. Everything is connected. Everything
has some intelligence, memory, a lifecycle, and agency. It is a web
of semantic agents. Both people and things contribute to co-
evolving social dialog.
The emerging pervasive/ubiquitous computing landscape is a
network of connected “things,” agents, and services with invisible
processors, lightweight, small, cheap, low/no power in almost all
everyday objects, wirelessly interconnected, continuously quot;online.”
Seamless services across all contexts.
This is a post-PC, post-IP era. Object-orientation and stack
architectures get jettisoned as “trainer wheels.” Interaction,
coordination, security, and integrity cannot be organized centrally.
The most granular societal artifacts have skills for orientation,
planning, scheduling, and acting. Intellectual property is autonomic.
Whether we are speaking of a content paragraph, picture, a model,
a software service, a sensor, a product or other physical entity — all
are self-organizing, context-aware, self-describing, self-configuring,
autonomic, pervasively adaptive, and communicating
autonomously.

23.
Semantic Technology Solutions for Gov 2.0 | Where are web 3.0, semantic technologies, and the next internet tacking us? 23
What is ubiquitous mobility?
Easy to create, self-describing, context-aware services.
The intelligent physical world communicates with us.
The focus of mobile services to
present has been to listen,
watch, command, surf, play,
and record your life with a box.
The future of mobility is
sensing, communications and
computing where physical and
digital worlds fuse. The
intelligent physical world
communicates with us. We
have wearable personal
trusted devices that augment
human senses and enhance
human capabilities.
Behind the scenes there is
seamless access to
(intelligent) services, wherever,
whenever. Also, weʼll have
robust, feature-rich web
servers on mobile phones,
accessible by anyone, with any
browser, from anywhere.

24.
What is the Obama administrationʼs directive for
transparency, openness & collaboration in government?
society, and public officials benefit from having
The Obama administration is committed to
access to that dispersed knowledge. Executive
creating an unprecedented level of openness in
departments and agencies should offer
Government to strengthen our democracy and
Americans increased opportunities to participate
promote its efficiency and effectiveness.
in policy-making and to provide their
• Government should be transparent. Government with the benefits of their collective
Transparency promotes accountability and expertise and information. Executive
provides information for citizens about what departments and agencies should also solicit
their Government is doing. Information public input on how we can increase and
maintained by the Federal Government is a improve opportunities for public participation in
national asset. My Administration will take
Government.
appropriate action, consistent with law and
• Government should be collaborative.
policy, to disclose information rapidly in forms
Collaboration actively engages Americans in the
that the public can readily find and use.
work of their Government. Executive
Executive departments and agencies should
departments and agencies should use
harness new technologies to put information
innovative tools, methods, and systems to
about their operations and decisions online and
cooperate among themselves, across all levels
readily available to the public. Executive
of Government, and with nonprofit
departments and agencies should also solicit
organizations, businesses, and individuals in the
public feedback to identify information of
private sector. Executive departments and
greatest use to the public.
agencies should solicit public feedback to
• Government should be participatory. assess and improve their level of collaboration
Public engagement enhances the Government's and to identify new opportunities for
effectiveness and improves the quality of its cooperation.
decisions. Knowledge is widely dispersed in
Source: White House Memorandum on Transparency and Open Government, January 29, 2009

25.
Semantic Technology Solutions for Gov 2.0 | What is the Obama administrationʼs directive for transparent open government? 25
What is digital age democracy?
A new era of connected governance.
Source: Don Tapscott

26.
Semantic Technology Solutions for Gov 2.0 | What is the Obama administrationʼs directive for transparent open government? 26
Whatʼs different about connected governance?
New models and ecosystems for engagement, interaction,
decision-making, and service delivery.
Policy-Making,
4
Governance,
Transparency &
Management
1 2 3
Connection, Collaboration, Communication,
Engagement & Innovation & Interaction &
Resourcing Problem-Solving Service Delivery
5
Next Internet,
Web 2.0/3.0 Semantic Web
& Cloud Computing

27.
Semantic Technology Solutions for Gov 2.0 | What is the Obama administrationʼs directive for transparent open government? 27
What are some principles of open government data?
Itʼs open if itʼs complete, primary, timely, accessible, machine
processable, non-discriminatory, non-proprietary, and license-free.
5. Machine processable — Data is
1. Complete — All public data is made
reasonably structured to allow automated
available. Public data is data that is not
processing.
subject to valid privacy, security or privilege
limitations. 6. Non-discriminatory — Data is available
to anyone, with no requirement of
2. Primary — Data is as collected at the
registration.
source, with the highest possible level of
granularity, not in aggregate or modified 7. Non-proprietary — Data is available in a
forms. format over which no entity has exclusive
control.
3. Timely — Data is made available as
quickly as necessary to preserve the value 8. License-free — Data is not subject to any
of the data. copyright, patent, trademark or trade secret
regulation. Reasonable privacy, security
4. Accessible — Data is available to the
and privilege restrictions may be allowed.
widest range of users for the widest range
of purposes.
Source: Resource.org

28.
How can we exploit cloud computing, Web 2.0, and
Web 3.0 semantic technologies to build citizen-friendly
recovery.gov and data.gov?
• What do we mean by citizen-friendly?
• What sort of computing environment will deliver citizen-friendly
recovery.gov and data.gov?
• How do we combine Web 2.0 and Web 3.0 semantic technologies?
• Who is partnering to build demonstrations?

29.
29
Semantic Technology Solutions for Gov 2.0 | How do we build citizen-friendly recovery.gov and data.gov?
What do we mean by “citizen-friendly”?
Recovery.gov & data.gov provide timely, simple, open access to
relevant information that citizens can easily consume, contribute to,
and mash-up with other data sources.
Consumer
Search, Explore, Write
Read Content
Navigate, Download Comments
(Wiki)
Discover “Apps” (Wiki)
Contributor
Citizen
Content Visualization
Fabric “Apps
(Wiki)
Analysis,
Data Mash-ups

30.
30
Semantic Technology Solutions for Gov 2.0 | How do we build citizen-friendly recovery.gov and data.gov?
What sort of semantic computing environment will
deliver citizen-friendly recovery.gov and data.gov?
A RESTful, combination of cloud, Web 2 and Web 3 technologies.
Use the right tools for the job.
Citizen Tools & Services Recovery.gov
Semantic Computing Environment
• Desktop tools (e.g. Excel)
Evoling Semantic Fabric
Consumer
• Wiki read, write, upload,
Cloud, Web 2, Web 3
Linking Data Sources
versioning, web services Data.gov
• Fabric tools expose, edit:
– data semantics, access,
provenance
– process semantics of
Public Data
services, tools & apps
– External K-models
• Semantic search, query,
navigation, discovery, etc.
Contributor
• Semantic tools to:
Private Data
– filter, merge, extract,
– mash-up w/other data
– visualize using lenses
• Package & publish “apps”
Media &
– discover, use download
Social Media
– rights, e-commerce

31.
31
Semantic Technology Solutions for Gov 2.0 | How do we build citizen-friendly recovery.gov and data.gov?
How do we combine the Web 2.0 and Web 3.0?
Separate the semantics from the data, the context from
the presentation, and the “know from the flow.”
Security Navigation Search, Templates Author, Edit, Attachments Extensions, Apps Publish
Query Comment Scripts
Web 3.0 • Ontology- • Faceted • SPARQL Semantic tools Semantic tools Semantic tools Semantic tools Semantic tools
Semantic tools
based navigation queries on to: to: to: to: to:
to:
security using wiki semantics of • Expose, edit • Expose, edit • Expose, edit • Expose, edit • Expose, edit
• Expose, edit
models knowledge fabric—data, semantics of semantics of semantics of semantics of semantics of
semantics of
can enable model(s) templates, page content attachments extensions to apps to fabric published
templates to
flexible attachments, to fabric including fabric “apps” to
fabric • Package
and very extensions & access & fabric
• Filter, extract, • Register semantic
• Present
granular apps provenance to • Search,
mash-up w/ extensions apps
templates in
security. • Semantic fabric
other data, & for search, discover,
different ways • Register
NLP search & • Filter, extract,
visualize using discovery, try out,
using “apps” for
discovery lenses mash-up w/ rights, & download, &
semantic search,
• Semantic other data, & e-commerce set rights for
lenses • Semantic discovery,
question visualize using e-commerce
desktop tools rights, &
answering lenses in “apps”
and plug-ins e-commerce
Web 2.0 • Registry of • Navigation • Keyword • Templates to • Pages w/ text, • Documents, • Scripting • Package • Service to
users with sidebar search of wiki author pages lists, tables, presentations, language pages, provide
authorized based on tags, graphics (svg), spreadsheets, • Registry of extensions, citizen
• Presentation
access by: page names content, images images, audio, scripts, etc as access to
by themes & widgets,
attachments, CSS styling video,& other an “app” “apps” and
- Person • Int/ext links extensions &
plus content files data
connectors. • Registry of
- Role • Embedded,
included by • Metadata, tags • Extension published
connectors,
- Page extension or “apps”
• Version control
extensions, management
script.
scripts
• Desktop
connectors

32.
32
Semantic Technology Solutions for Gov 2.0 | How do we build citizen-friendly recovery.gov and data.gov?
Whoʼs partnering to build demonstrations?
So far, itʼs MindTouch, Cambridge Semantics, zAgile, and
Expert Systems. Weʼre open to other players joining.
Security Navigation Search, Templates Author, Edit, Attachments Extensions, Apps Publish
Query Comment Scripts
Web 3.0 • Ontology- • Faceted • SPARQL Semantic tools Semantic tools Semantic tools Semantic tools Semantic tools
Semantic tools
based navigation queries on to: to: to: to: to:
to:
security using wiki semantics of • Expose, edit • Expose, edit • Expose, edit • Expose, edit • Expose, edit
• Expose, edit
models knowledge fabric—data, semantics of semantics of semantics of semantics of semantics of
semantics of
can enable model(s) templates, page content attachments extensions to apps to fabric published
templates to
flexible attachments, to fabric including fabric “apps” to
fabric • Package
and very extensions & access & fabric
• Filter, extract, • Register semantic
• Present
granular apps provenance to • Search,
mash-up w/ extensions apps
templates in
security. • Semantic fabric
other data, & for search, discover,
different ways • Register
NLP search & • Filter, extract,
visualize using discovery, try out,
using “apps” for
discovery lenses mash-up w/ rights, & download, &
semantic search,
• Semantic other data, & e-commerce set rights for
lenses • Semantic discovery,
question visualize using e-commerce
desktop tools rights, &
answering lenses in “apps”
and plug-ins e-commerce
Web 2.0 • Registry of • Navigation • Keyword • Templates to • Pages w/ text, • Documents, • Scripting • Package • Service to
users with sidebar search of wiki author pages lists, tables, presentations, language pages, provide
authorized based on tags, graphics (svg), spreadsheets, • Registry of extensions, citizen
• Presentation
access by: page names content, images images, audio, scripts, etc as access to
by themes & widgets,
attachments, CSS styling video,& other an “app” “apps” and
- Person • Int/ext links extensions &
MINDTOUCH
plus content files data
connectors. • Registry of
- Role • Embedded,
included by • Metadata, tags • Extension published
connectors,
- Page extension or “apps”
http://www.mindtouch.com/ • Version control
extensions, management
script.
scripts
• Desktop
connectors

33.
33
Semantic Technology Solutions for Gov 2.0 | How do we build citizen-friendly recovery.gov and data.gov?
Whoʼs partnering to build demonstrations?
So far, itʼs MindTouch, Cambridge Semantics, zAgile, and
Expert Systems. Weʼre open to other players joining.
Security Navigation Search, Templates Author, Edit, Attachments Extensions, Apps Publish
Query Comment Scripts
Web 3.0 • Ontology- • Faceted • SPARQL Semantic tools Semantic tools Semantic tools Semantic tools Semantic tools
Semantic tools
based navigation queries on to: to: to: to: to:
to:
security using wiki semantics of • Expose, edit • Expose, edit • Expose, edit • Expose, edit • Expose, edit
• Expose, edit
models knowledge fabric—data, semantics of semantics of semantics of semantics of semantics of
semantics of
can enable model(s) templates, page content attachments extensions to apps to fabric published
templates to
flexible attachments, to fabric including fabric “apps” to
fabric • Package
and very extensions & access & fabric
• Filter, extract, • Register semantic
• Present
CAMBRIDGE SEMANTICS
granular apps provenance to • Search,
mash-up w/ extensions apps
templates in
security. • Semantic fabric
other data, & for search, discover,
different ways • Register
http://www.cambridgesemantics.com/
NLP search & • Filter, extract,
visualize using discovery, try out,
using “apps” for
discovery lenses mash-up w/ rights, & download, &
semantic search,
• Semantic other data, & e-commerce set rights for
lenses • Semantic discovery,
question visualize using e-commerce
desktop tools rights, &
answering lenses in “apps”
and plug-ins e-commerce
Web 2.0 • Registry of • Navigation • Keyword • Templates to • Pages w/ text, • Documents, • Scripting • Package • Service to
users with sidebar search of wiki author pages lists, tables, presentations, language pages, provide
authorized based on tags, graphics (svg), spreadsheets, • Registry of extensions, citizen
• Presentation
access by: page names content, images images, audio, scripts, etc as access to
by themes & widgets,
attachments, CSS styling video,& other an “app” “apps” and
- Person • Int/ext links extensions &
plus content files data
connectors. • Registry of
- Role • Embedded,
included by • Metadata, tags • Extension published
connectors,
- Page extension or “apps”
• Version control
extensions, management
script.
scripts
• Desktop
connectors

34.
34
Semantic Technology Solutions for Gov 2.0 | How do we build citizen-friendly recovery.gov and data.gov?
Whoʼs partnering to build demonstrations?
So far, itʼs MindTouch, Cambridge Semantics, zAgile, and
Expert Systems. Weʼre open to other players joining.
Security Navigation Search, Templates Author, Edit, Attachments Extensions, Apps Publish
Query Comment Scripts
Web 3.0 • Ontology- • Faceted • SPARQL Semantic tools Semantic tools Semantic tools Semantic tools Semantic tools
Semantic tools
based navigation queries on to: to: to: to: to:
to:
security using wiki semantics of • Expose, edit • Expose, edit • Expose, edit • Expose, edit • Expose, edit
• Expose, edit
models knowledge fabric—data, semantics of semantics of semantics of semantics of semantics of
semantics of
can enable model(s) templates, page content attachments extensions to apps to fabric published
templates to
flexible attachments, to fabric including fabric “apps” to
fabric • Package
and very extensions & access & fabric
• Filter, extract, • Register semantic
• Present
ZAGILE
granular apps provenance to • Search,
mash-up w/ extensions apps
templates in
security. • Semantic fabric
other data, & for search, discover,
different ways • Register
http://zagile.com/
NLP search & • Filter, extract,
visualize using discovery, try out,
using “apps” for
discovery lenses mash-up w/ rights, & download, &
semantic search,
• Semantic other data, & e-commerce set rights for
lenses • Semantic discovery,
question visualize using e-commerce
desktop tools rights, &
answering lenses in “apps”
and plug-ins e-commerce
Web 2.0 • Registry of • Navigation • Keyword • Templates to • Pages w/ text, • Documents, • Scripting • Package • Service to
users with sidebar search of wiki author pages lists, tables, presentations, language pages, provide
authorized based on tags, graphics (svg), spreadsheets, • Registry of extensions, citizen
• Presentation
access by: page names content, images images, audio, scripts, etc as access to
by themes & widgets,
attachments, CSS styling video,& other an “app” “apps” and
- Person • Int/ext links extensions &
plus content files data
connectors. • Registry of
- Role • Embedded,
included by • Metadata, tags • Extension published
connectors,
- Page extension or “apps”
• Version control
extensions, management
script.
scripts
• Desktop
connectors

35.
35
Semantic Technology Solutions for Gov 2.0 | How do we build citizen-friendly recovery.gov and data.gov?
Whoʼs partnering to build demonstrations?
So far, itʼs MindTouch, Cambridge Semantics, zAgile, and
Expert Systems. Weʼre open to other players joining.
Security Navigation Search, Templates Author, Edit, Attachments Extensions, Apps Publish
Query Comment Scripts
Web 3.0 • Ontology- • Faceted • SPARQL Semantic tools Semantic tools Semantic tools Semantic tools Semantic tools
Semantic tools
based navigation queries on to: to: to: to: to:
to:
security using wiki semantics of • Expose, edit • Expose, edit • Expose, edit • Expose, edit • Expose, edit
• Expose, edit
models knowledge fabric—data, semantics of semantics of semantics of semantics of semantics of
semantics of
can enable model(s) templates, page content attachments extensions to apps to fabric published
templates to
flexible attachments, to fabric including fabric “apps” to
fabric • Package
and very extensions &
EXPERT access & fabric
• Filter, extract, • Register semantic
• Present
granular apps provenance to • Search,
mash-up w/ extensions apps
templates in
security. • Semantic fabric
other data, & for search, discover,
different ways
SYSTEM • Register
NLP search & • Filter, extract,
visualize using discovery, try out,
using “apps” for
discovery lenses mash-up w/ rights, & download, &
semantic search,
• Semantic other data, & e-commerce set rights for
lenses • Semantic discovery,
question visualize using e-commerce
desktop tools rights, &
answering lenses in “apps”
and plug-ins e-commerce
Web 2.0 • Registry of • Navigation • Keyword • Templates to • Pages w/ text, • Documents, • Scripting • Package • Service to
users with sidebar search of wiki author pages lists, tables, presentations, language pages, provide
authorized based on tags, graphics (svg), spreadsheets, • Registry of extensions, citizen
• Presentation
access by: page names content, images images, audio, scripts, etc as access to
by themes & widgets,
attachments, CSS styling video,& other an “app” “apps” and
- Person • Int/ext links extensions &
plus content files data
connectors. • Registry of
- Role • Embedded,
included by • Metadata, tags • Extension published
connectors,
- Page extension or “apps”
• Version control
extensions, management
script.
scripts
• Desktop
connectors
http://www.expertsystem.net/

36.
36
Semantic Technology Solutions for Gov 2.0 | How do we build citizen-friendly recovery.gov and data.gov?
Whoʼs partnering to build demonstrations?
So far, itʼs MindTouch, Cambridge Semantics, zAgile, and
Expert Systems. Weʼre open to other players joining.
Security Navigation Search, Templates Author, Edit, Attachments Extensions, Apps Publish
Query Comment Scripts
Web 3.0 • Ontology- • Faceted • SPARQL Semantic tools Semantic tools Semantic tools Semantic tools Semantic tools
Semantic tools
based navigation queries on to: to: to: to: to:
to:
security using wiki semantics of • Expose, edit • Expose, edit • Expose, edit • Expose, edit • Expose, edit
• Expose, edit
models knowledge fabric—data, semantics of semantics of semantics of semantics of semantics of
semantics of
can enable model(s) templates, page content attachments extensions to apps to fabric published
templates to
flexible attachments, to fabric including fabric “apps” to
fabric • Package
and very extensions & access & fabric
• Filter, extract, • Register semantic
• Present
granular apps provenance to • Search,
mash-up w/ extensions apps
templates in
security. • Semantic fabric
other data, & for search, discover,
different ways • Register
NLP search & • Filter, extract,
visualize using discovery, try out,
using “apps” for
discovery lenses mash-up w/ rights, & download, &
semantic search,
• Semantic other data, & e-commerce set rights for
lenses • Semantic discovery,
question visualize using e-commerce
desktop tools rights, &
answering lenses in “apps”
and plug-ins e-commerce
Web 2.0 • Registry of • Navigation • Keyword • Templates to • Pages w/ text, • Documents, • Scripting • Package • Service to
users with sidebar search of wiki author pages lists, tables, presentations, language pages, provide
authorized based on tags, graphics (svg), spreadsheets, • Registry of extensions, citizen
• Presentation
access by: page names content, images images, audio, scripts, etc as access to
by themes & widgets,
attachments, CSS styling video,& other an “app” “apps” and
- Person • Int/ext links extensions &
plus content files data
connectors. • Registry of
- Role • Embedded,
included by • Metadata, tags • Extension published
connectors,
- Page extension or “apps”
• Version control
extensions, management
script.
scripts
• Desktop
connectors

37.
37
Semantic Technology Solutions for Gov 2.0 | How do we build citizen-friendly recovery.gov and data.gov?
What is a semantic scenario for citizen-friendly
recovery.gov and data.gov?
Author, expose, weave, mash-up, visualize, publish, and use.
1 2 3 4 5 6 7
Author, Expose Link Data, Edit, Filter, Visualize, Package Discover,
Collect, Data to Weave Extract, Present App & Download,
Report Fabric Fabric Mash-up Result Publish Use App

38.
Semantic Technology Solutions for Gov 2.0 | What is the Obama administrationʼs directive for transparent open government? 38
DEMO: Using Cambridge Semanticsʼ Anzio
in support of Recovery.gov

39.
Practical Semantics
Applied to Recovery.gov
Jordi Albornoz Mulligan
Mills Davis
Brand Niemann
May 2009

40.
Recovery.gov = Opportunity & Challenge
The data is helpful with more coming daily, all for openness &
transparency
But it has limits, especially when:
• Data is in multiple sources
• Answers require data from outside of Recovery.gov
• Request volume outstrips Recovery.gov (people) resources
Semantic Technology can enable citizens to help themselves (and
the government) provide answers to more citizens
• Link data sources to a semantic fabric
• Provide access and tools so information can be:
• Combined
• Manipulated
• Viewed by…
Virtually anyone regardless of technical capability

41.
Simple Questions, Hard to Answer
Example:
•Is there a correlation between geographic
distribution of recovery dollars, population and
new jobs created?
To get the answer, you need to know:
•Recovery spending by state
•Population by state
•New jobs by state
Recovery.gov alone cannot answer this question

42.
The Answers Live in Three Sources
Show the answer graphically…

43.
Like This…

44.
Or this…

45.
How it’s Done:
Leave Data Where it Lives and…
1. Link Source to the Anzo Data Collaboration Server
Data
RDBMS
2. Let the user “draw” a picture of what they want
Anzo Data Collaboration Server
3. Fill the picture with the appropriate data

46.
Linking Source Data is Simple
Anzo for Excel
Plug-in

47.
Linking Source Data is Simple
Link data (columns in the spreadsheet) to classes and
properties in an ontology exposed in the plug in

48.
Dierent Source, Same Process

49.
Select a Data Set
Select a description

50.
Repeat the Process

51.
Repeat the Process
Now that the data is linked…

52.
Anzo on the Web Can Work With It
Select from Linked Data Sets

53.
Lenses Allow Various Views
Choose a Lens

54.
Combined Data Displayed Graphically

55.
In a Variety of Ways

56.
In a Variety of Ways

57.
Another Option…
Combining and Filtering Data
Notice multiple
sources (agencies)

58.
Manipulate As Desired
Click to sort and filter the data to on-the-fly

59.
Apply a Finer Filter
Check the desired filter

60.
Add More Data to Your View
The ontology guides users
as they explore relationships

61.
The New Data is Immediately Avaialble

62.
Add Filters on the Fly
The system Guides the User
Just click and add

63.
The Filter is Added
The new filter
appears here

64.
…and Works Immediately
The view is
narrowed
further

65.
The Possibilities are Endless…
http://www.cambridgesemantics.com/

66.
Call to action:
Let’s demonstrate citizen-friendly semantic solutions
for recovery.gov and data.gov,
with transparency, openness collaboration!
Mills Davis
Project10X
202-667-6400
www.project10x.com