Semantic Technology Solutions For Recovery Gov And  Data Gov With Transparency Openness And Collaboration
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Semantic Technology Solutions For Recovery Gov And Data Gov With Transparency Openness And Collaboration

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The Obama administration has set the goal of achieving and unprecedented level of openness, participation, transparency, and collaboration in government. This applies especially to the......

The Obama administration has set the goal of achieving and unprecedented level of openness, participation, transparency, and collaboration in government. This applies especially to the accessibility of government information and the tracking of stimulus expenditures. This presentation discusses ways that cloud computing, web 2.0, and web 3.0 semantic technologies can be used to deliver citizen-friendly solutions for recovery.gov and data.gov that fulfill the goals of the new administration.

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  • 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