KM: The Future is Yours Tutorial for the 12 th Annual Knowledge Management Conference May 2-4, 2011 Brand Niemann Semantic Community 1

Outline 1. Introduction – Brand 2. Knowledge-centric Systems – Mills and Denise 3. Pilot Phase I (Wiki and Dashboard) – Brand 4. Pilot Phase II (Semantic Insights) – Chuck 5. Conclusion (Questions and Answers) – All 2

1. Introduction Six QuestionsDiscussion Leader Attendee 1Attendee 2Etc. Who (are you)?Brand Niemann What (do you do)? Enterprise Architecture & Data Science When (have you done it)? 30+ years of federal service Where (did you do it)? U.S. EPA Why (did you do it)? Idealistic about public service How (do you do it)? Communities of Practice 3 Purpose: To help build your professional network especially for doing Federal Cloud Computing going forward. Source:

1. Introduction Session Description: – KM is the future: most will be knowledge workers building knowledge products for knowledge-centric systems. The author has developed a best practice for building knowledge products for knowledge-centric systems using data (and information) science that will be used in this presentation/tutorial to show how it can be done. – Besides the data/information products already built for the US EPA, the Data.gov Team, and others, the author is building a knowledgebase for the previous KM Conferences in this series (11) and for the current conference in real-time using social media tools. 4

1. Introduction Objectives/Outcomes: – 1. Build a KM knowledgebase of the previous conferences ( ) using the data science method developed by the author for a series of information products. See – 2. Document the KM 2011 Conference in real-time using Social Media Tools (Tweets, Wiki, and Blog). – 3. Present the method and results of the first two in a presentation and/or tutorial at the end of the conference. A recent example developed for the Harvard Leadership for a Networked World Fall Term 2010 and the Transition 2011 Symposium is at – siness_Intelligence_from_Open_Government_Data siness_Intelligence_from_Open_Government_Data 5

1. Introduction Focus: How to harness social media in support of Knowledge Management: – How social media support communities of practice – Best KM practices for fostering collaboration with social media – How to extract meaning from unstructured data in social media Skill Level: Introductory Audience: Government agency program and project executives, CIOs, chief technology officers, network administrators, information technology managers, engineers Type of Session/Format: Half-day tutorial Computer Platform:PC Additional Equipment: None 6

1. Introduction Some Previous Examples: – Before to promote and inform; or – At the beginning to set the tone for the conference; or – In the middle to stimulate collaborations; or – At the end to summarize and document the conference proceedings; or – All four: _2011_2nd_Annual_Cloud_Computing_for_DoD_and_Government_ Conference - 9_2011_2nd_Annual_Cloud_Computing_for_DoD_and_Government_ Conference Annual_Spring_Government_CIO_Summit_2007_May_6-8 Annual_Spring_Government_CIO_Summit_2007_May_

1. Introduction 8 Before to promote and inform

1. Introduction 9 At the beginning to set the tone for the conference

1. Introduction 10 In the middle to stimulate collaborations

1. Introduction 11 At the end to summarize and document the conference proceedings

1. Introduction 12 KM 2011

1. Introduction 13 Harvest content from various participants

1. Introductions 14

2. Knowledge-Centric Systems Knowledge-centric Paradigm Shift: Next Generation Knowledge Architectures and Knowledge Technology, Mills Davis and Denise Bedford: Historically, knowledge management has built on information architectures and information technologies. Cyber megatrends will cause this to change rapidly over the next few years. The shift will be to a new paradigm where architecture becomes knowledge- centric and technologies compute with knowledge. This presentation explains these knowledge age approaches, how they differ from current practices, and how they enhance knowledge management. The new paradigm represents knowledge about infrastructure, information, application functions, processes, decisions, and user experience separately from data formats, documents, and program code, etc. so that both people and computers can interpret it, modify it, connect it to other knowledge, and put it to work. 15

2. Knowledge-Centric Systems Knowledge-centric Paradigm Shift: Next Generation Knowledge Architectures and Knowledge Technology, Mills Davis and Denise Bedford (continued): Take aways for IT and knowledge management professionals regarding the knowledge-centric paradigm shift: (1) The knowledge-centric paradigm shift is a mandatory transition—not optional. (2) The good news about the paradigm shift is that knowledge management moves to center stage as a strategy, practice, and technology competency. (3) Impacts are organization wide. Everyone--subject matter experts, knowledge workers, and technical specialists--will need to become fluent with some new literacies about ways to used computing. This may seem a tall order, but in the end it will be little more difficult than the achievement of mass awareness of typography and color was for desktop publishing when it moved to the web. (4) Finally, people who characterize themselves as IT and knowledge management professionals will need to up their skills and raise their game. Knowledge technology builds on information technology and trumps it because the next stage of the emerging cyber domain is about achieving human and computer symbiosis through collaborative systems that know, learn and reason as people do. 16

Knowledge-Centric Paradigm: A New World of IT Solutions Harvard Transition 2011 Symposium: Clarifying Goals, Mobilizing Support, Taking Action January 11-13, 2011 IBM Institute for Electronic Government, Washington, DC Brand Niemann and Acknowledgement: Mills Davis, Project10 X, January 10, 2011, Briefing. 17 Please see From E-Government to Transformational Government Wiki Page and Slides.Wiki PageSlides Knowledge-Centric Paradigm: A New World of IT Solutions (Slides) (Slides).Slides

The Art, Act, and Science of Knowing The New Know Realities: – #1: You will be expected to do something with information – #2: There really is more to know – #3: You will have to know more about knowing – #4: Brain science and decision science are converging – #5: The environment is changing our brain – #6: Information management is the essence of leadership – #7: A more connected world – #8: Math matters – #9: There are significant downsides to not knowing – #10: Knowing can change the world 18 Source: Thompson May, The New Know: Innovation Powered by Analytics, 2009Thompson May

Government As a Platform Practical Steps for Government Agencies: – 1. Issue your own government directive (done*) – 2. Create a simple, reliable, and publically accessible infrastructure that exposes the underlying data (done). – 3. Build your own websites and applications using item 2 above (done). – 4. Share your data catalogs and repository of applications (done). – 5. Provide work as open source software, standardized web services, cloud computing platform, and best practices (done). – 6. Support existing open standards and open source software (done). – 7. Create a list of software applications that can be reused by government employees without procurement (done). – 8. Create an “app store” that features applications created by the private sector as well as those created by your own government unit (done). – 9. Create permissive social media guidelines that allow government employees to engage the public without having to get pre-approval from superiors (not my role now). – 10. Sponsor meetups, code camps, and other activity sessions to actually put citizens to work on civic issues (done). 19 Source: Tim O’Reilly, 2010, Open Government, Chapter 1. Government As a Platform.Chapter 1. Government As a Platform *: and

Overview Knowledge-centric Paradigm Shift Knowledge-centric Collaboration Business Value of Knowledge-centric Solutions Three Approaches to Knowledge-Centric Services and Solutions: – Citizen-centric Government — Systems That Know – Advanced Analytics — Systems That Learn – Smart Operations — Systems That Reason 20

Knowledge-centric Paradigm Shift A major conceptual advance towards distributed intelligence. A long wave of innovation driving fundamental shifts in technology, culture, and economics. – Separating the “know” from the infrastructure, information, application, & user interface! See SICoP Special Conference, February, 2009: – Gov_to_Connected_Governance:_the_Role_of_Cloud_Compu ting,_Web_2.0_and_Web_3.0_Semantic_Technologies_Febru ary_17_ Gov_to_Connected_Governance:_the_Role_of_Cloud_Compu ting,_Web_2.0_and_Web_3.0_Semantic_Technologies_Febru ary_17_

Knowledge-centric Collaboration Each person contributes using forms of knowledge expression they understand such as documents, drawings, pictures, models, software behaviors, user interface designs, etc. — yet all have visibility into all the underlying concepts and relationships. Combining wikis, semantic content tools, semantic search, ontology-driven applications, and intelligent user interfaces. Context-aware services, semantic browsing, expert systems, and virtual assistants that complete tasks for you (e.g., Mobile Semantics). 22

Business Value of Knowledge-centric Solutions How does one get value creation? –By modeling knowledge, adding intelligence, and enabling learning. After 2010, it makes no sense to develop IT systems under the information-centric paradigm. – The value proposition of the knowledge-centric paradigm is too great! 23

3. Pilot Phase I (Wiki and Dashboard) Steps in Process: – Web to Notepad – Web & Notepad to the Wiki – Notepad to Excel – Excel to Wiki – Excel to Dashboard Lessons Learned – Decisions Made: – NA means not available (yet) – Author URLs are very long – Add degrees and certifications to names – Some color codes are difficult to discern – The Web format changed between and – More to be added. Results: – Wiki (MindTouch On Demand Technical Documentation Suite) – Dashboard (Spotfire On Demand Business Intelligence) – SIRA Reader (Semantic Insights Semantic Ontology-driven Natural Language Processing) 24

3. Pilot Phase I (Wiki and Dashboard) 25 KM 2011 Web Page

3. Pilot Phase I (Wiki and Dashboard) Steps in the Process: – Go to Session List – Copy to Notepad (see next slide) and Extract Fields to Excel – Copy Event URL to Excel – Copy and Paste Session Information to Notepad – Extract Speaker 1 Name from Notepad – Extract Speaker 2 Name (if more than one) from Notepad – Copy Speaker 1 URL to Excel – Copy Speaker 2 URL (if more than one) to Excel – Copy and Paste Speaker 1 and 2 to Notepad – Copy Speaker 1 and 2 Title and Affiliation to Excel Note: This will have to checked again as the Session List is finalized 26

3. Pilot Phase I (Wiki and Dashboard) 27 URL KM 2011: Web to Notepad

3. Pilot Phase I (Wiki and Dashboard) 28 Table of Contents Automatically Generated By Deki Wiki Script KM 2011: Web & Notepad to the Wiki

3. Pilot Phase I (Wiki and Dashboard) 29 Comments File Attachments and Versioning Web Page Capture KM 2011: Web & Notepad to the Wiki

3. Pilot Phase I (Wiki and Dashboard) 30 KM 2011: Notepad to Excel

3. Pilot Phase I (Wiki and Dashboard) 31

3. Pilot Phase I (Wiki and Dashboard) 32 Spotfire on PC Desktop Try Demo

3. Pilot Phase I (Wiki and Dashboard) 33 Spotfire Web PlayerWeb Player Data within three clicks*: 1.See the data 2.Search the data 3.Download the data * Data Services - What Data.gov and Many Other Things Should Be. OpEd submitted to FCW, February 9, 2011.

3. Pilot Phase I (Wiki and Dashboard) 34 With the power of MindTouch DReAM, MindTouch products excel at loading, transforming and re-mixing data from web services, databases and enterprise applications.MindTouch DReAM

3. Pilot Phase I (Wiki and Dashboard) 35

4. Pilot Phase II (Semantic Insights) Tired of skimming through hundreds of search results only to find a few useful facts? We’re building easy-to-use research products for businesses, researchers, students, — anyone who needs in-depth info on a topic. Our tools uncover valuable information, “reading” thousands of documents — web pages… or a collection of PDF files… or a database… or your desktop…really, just about anything. The stuff you need to know is handed back to you in concise, plain-english reports — faster, better, and cheaper than an expert using a key-word search engine. Our core tools are built on more than six years of R&D in Natural Language Processing and Semantic Technology, resulting in seven patents, granted and pending, and the worlds fastest, most scaleable Rules-Based Engine. Our tools recognize synonyms in context, identify multiple ways of saying the same thing, and consult detailed domain-specific knowledge including generalizations, specializations, relationships and instances in a given domain. And we’re just getting started!Natural Language ProcessingSemantic Technology, 36 Source:

4. Pilot Phase II (Semantic Insights) Chuck Rehberg is preparing this part as follows: – Two tools: Desktop and Web – Three outputs: Plain-english reports, Data dictionary, and Ontology. – Three user scenarios: 1105 Readers search (1105 content) 1105 Authors and Editors search (1105 content and others) 1105 Conference Attendees search (this pilot content) 37

5. Conclusion (Questions and Answers) Some initial questions will be added here to jump start this part. You can reproduce these results yourself from the tools and databases provided. Please contact me for questions: – 38