1 Presented to the XML Community of Practice, Town Hall Meeting/ eGov Institute’s Knowledge Management Conference Washington, DC April 20, 2005 The U.S.

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Presentation transcript:

1 Presented to the XML Community of Practice, Town Hall Meeting/ eGov Institute’s Knowledge Management Conference Washington, DC April 20, 2005 The U.S. CIOC’s Emerging Technology Life-Cycle Management ET.gov—and Multifaceted Search, Discovery, and Retrieval of ET Information

2 Outline The problem 1. Objectives of ET.gov—and impetus * 2. Value and expected impact of ET.gov * The context 3. ET.gov—and its relationship with the AIC and USCIOC * 4. Evolution of ET.gov—from vision to execution * 5. Eight stages of the ET.gov process * 6. ET.gov today and tomorrow * The solution —and value 7. Objectives of demo—and use of multifaceted search at ET.gov 8. Defining the facets and categories for ET.gov 9. ET.gov demo (test drive via Screenshots A>H) 10. Conclusion * Source: Adapted from xmlCoP and ET/SC documents.

3 1. Objectives of ET.gov—and impetus Help facilitate the discovery of various types of components which may be beneficial to the Federal government— thereby provide a formal channel by which agencies can evaluate ETs Produce communication between CIOs, governmental decision makers, submitters, and other integrators by taking a standards-based approach to capitalize on the benefits of XML and maximize the benefits of the Web Provide a standard XML schema for component description and a submission point from which components can be evaluated—i.e., via a single point of multifaceted search- discovery-and-retrieval (MSDR) Aid the discovery of new technologies.

4 2. Value and expected impact of ET.gov When a government agency, technology company or another organization registers with ET.gov, the site will: Provide the opportunity for their emerging technology to “get discovered” by the Federal community Foster the maturity of their technology in the Federal market Shorten the “time to market” for their ET in the Federal civilian and non-civilian sectors Separate the “wheat from the chaff,”—i.e., weed out “intergalactic technology solutions!”

5 3. ET.gov—and its relationship with the AIC and USCIOC The AIC pursued seven funded tasks in FY 2005, on top of other existing efforts, e.g., fostering communities of practice on XML and semantic interoperability The tasks are to generate the greatest ROI in terms of the time and dedication put forth by AIC members and staff Task 6 is to “develop identification and validation processes for emerging technologies,” i.e., ET.gov Lead staff for this task under the ET S/C are: John McManus (NASA), Susan Turnbull (GSA), and Owen Ambur (DOI).

6 ET S/C visionS/C mandate Scope ObjectivesXML schema Other tech specs Booz design Feedback fr S/C + CoPs Vision ET.gov 4. Evolution of ET.gov: from vision to execution 2003> 2004> 2005> 2006> BLS Usability Lab testing Stage 1 exec. MSDR designMSDR demo Stage 2 exec.Stage N exec. Instance docsXSDs

7 5. Eight stages of the ET.gov process 1. Identify + register 1. Identify + register 2. Subscribe + indicate LOI 2. Subscribe + indicate LOI 3. Accept stewardship 3. Accept stewardship 4. Graduate + transition to CORE.gov 4. Graduate + transition to CORE.gov 5. Budget (President + Congress) 5. Budget (President + Congress) 6. Acquire for use 6. Acquire for use 7. Maintain over life cycle 7. Maintain over life cycle 8. Retire + replace 8. Retire + replace

8 6. ET.gov today and tomorrow ET = IT data: USA ET = IT data: USA + global ET = IT + XT data: USA ET = IT + XT data: USA + global 100s of records, users, and queries 1,000s of records, users, and queries 10,000s of records, users, and queries 100,000s of records, users, and queries

9 Illustrate how data on ETs can be organized and accessed by multiple facets (axes) and hierarchical taxonomies (categories) within Show how end-users within and outside the Federal government can then search, discover, and retrieve information from the ET.gov site in a human-friendly way Highlight the social, economic, and intelligence value that different stakeholders can derive by using MSDR technology as part of the ET.gov site and process. 7. Objectives of demo—and use of multifaceted search at ET.gov

10 8. Defining the facets + categories for ET.gov Existing facetsUse Categories (examples) 1. Component name WHAT? A, B, C, D…Z 2. Organization name WHO? A, B, C, D…Z 3. Component type WHAT? Software, hardware, data 4. Relation to FEA: SRM WHAT? Analysis/stats, assets, BI…visualization 5. Relation to FEA: TRM WHAT? Component framework, service access… 6. Relation to FEA: DRM WHAT? Data content, data description, data sharing

11 9. ET.gov demo (test drive via Screenshots A>H)

12 Screen A: Standard Web interface of ET.gov

13 Screen B: Detail of the home page—with aerial view of the 4 facets, categories, and counts (43) Get aerial view and browse the 43 ET records by four facets (views, axes) and by hierarchi- cal categories with counts Conduct free-text search by keyword 2 1

14 Screen C: Launch free-text search for “knowledge management” Search for “knowledge management” 2 See 11 results organized by facets and categories See also 11 results in the standard list 3 4

15 Screen D: Drill down the “Knowledge Management” category under the SRM facet Drill down the SRM facet— into the category for “Knowledge Management” 5

16 Screen E: Switch view to the TRM facet and drill down the “Component Framework” category 6 Switch view to the TRM facet—and drill down into the category for “Component Framework”

17 Screen F: Drill down into the “Proposed Spec” category also under the TRM facet Drill down into the category for “Proposed Spec” 7

18 Screen G: Switch view again to the Component Type facet and drill down into the “Software” category Switch view to the Component Type facet—and drill down into the category for “Software” See the breadcrumb trail 8 9

19 Screen H: Find (discover) the final record 10 Find (discover) the “sliced-and-diced” KM records that fit: 1.KM under SRM, 2.Component Framework and Proposed Spec under TRM, and 3.Software under Component Type

Conclusion: What we mean is that… “Better, faster, smarter” search will give the technology company (seller) the opportunity to “fairly” increase the exposure and visibility of its ET— making sure that the Federal agency (searcher and buyer) looking for that ET or similar ETs will, in fact, find what the agency is looking for, with NO chance of not finding that ET… so long as the company registered and input its data correctly at ET.gov. “Better, faster, smarter” search will give the technology company (seller) the opportunity to “fairly” increase the exposure and visibility of its ET— making sure that the Federal agency (searcher and buyer) looking for that ET or similar ETs will, in fact, find what the agency is looking for, with NO chance of not finding that ET… so long as the company registered and input its data correctly at ET.gov.

21 Thank you…and contacts Amin Hassam Vice President, Government Strategy + Solutions i411, Inc. Herndon, Virginia x140 Paul Woods President & Business Technology Source LLC Shepherdstown, West Virginia