1. Paul Gorman, MD Lois Delcambre, PhD David Maier, PhD

2. Bundles in the wild……….. Observational team: Paul Gorman Joan Ash Mary Lavelle Jason Lyman …………..Bundles in captivity Computer science team: Lois Delcambre Dave Maier Shawn Bowers Longxing Deng Mathew Weaver

3. (Wild) Bundles

4.  There is benefit in creating (active processing of information)  There is benefit in reusing (trigger memory)  There is benefit in sharing (establish collective, situated awareness)

6. SLIMPad Demo

8. Superimposed and base layers with marks SuperimposedLayer BaseLayer Information Source 1 Information Source 2 Information Source n … marks

10. Superimposed Layer Information Manager (SLIM) Architecture: Contributions  SLIM API - for the application developer  TRIM store - for generic storage of superimposed information  Mark Management - to create/resolve marks

11. SLIM API

13. Model Schema Data Instance Data with Marks Information Source 1 Information Source 2 Superimposed Layer Base Layer marks Model-Based Superimposed Information But the model and schema are optional

14. Generic Representation of Information Topic Map Topic Map Defintion Topic Map Instances XML DTD XML Document Metamodel SuperimposedLayer Basic Set of Abstractions Model Constructs and Relationships Schema-LevelData Instance-LevelData

15. Three Basic Types of Mappings Model 1 Schema 1 Instances 1 SourceTarget Mapped Converted Converted Mapped Converted Mapped Converted Converted Inter-Model Inter-Schema Model-to- Schema Model 2 Schema 1 Instances 1 Model 1 Schema 1 Instances 1 Model 1 Schema 1 Instances 1 Instances 1 Model 1 Schema 2 Instances 1 Model 2 Schema 2 Instances 1

16. (CS Team) Plans  “Schema” for bundles: through templates that predefine certain bundles and labels, and possibly predefine scraps. less restrictive than trad. schema.  Sharing: a bundle that belongs to multiple pads, a pad with multiple simultaneous users, and interchange of pads and bundles between users.  “Scoping” of base layers and marks over those layers. There are several general issues for modeling and management of superimposed information that have emerged from this work and other efforts.

17. (CS Team) Plans (cont.)  Distribution: more than a single mark manager. Is there a single space of marks or must applications keep track of which manager handles a particular mark?  New Kinds of Sources and Marks: beyond XML, PDF, MS Word, MS Excel, MS PowerPoint and HTML. We are also interested in marks into a “base” layer that is actually superimposed information for another application.  Application Interface: try a more query-like API. Also, consider an API generator  Superimposed Information Mapping/Conversion: applying and extending our metamodel.

18. www.cse.ogi.edu/footprints  demos - including the QTVR of the ICU (with toys) and SLIMPad  personnel  project description  papers  “Bundles in the Wild: Tools for Managing Information to Maintain Situation Awareness”  “Bundles in Captivity: An Application of Superimposed Information”  papers discussing superimposed information

20. Representing Model using RDF (instanceOf, “TopicType”, Construct) (instanceOf, “TopicInstance”, Construct) (instanceOf, “ttypename”, Connector) (domain, “ttypename”, TopicType) (range, “ttypename”, String) (domainMult, “ttypename”, “*”) (rangeMult, “ttypename”, “1”) (instanceOf, “topic_instOf”, Conformance) (domain, “topic_instOf”, TopicInstance) (range, “topic_instOf”, TopicType) (domainMult, “topic_instOf”, “*”) (rangeMult, “topic_instOf”, “1”) TopicType ttypename : String TopicInstance * 1 > topic_instOf

21. (instanceOf, “painting_tt”, TopicType) (ttypename, “painting_tt”, “painting”) (instanceOf, “painter_tt”, TopicType) (ttypename, “painter_tt”, “painter”) (instanceOf, “byPainter_rt”, TopicRelType) (relType, “byPainter_rt”, “by painter”) (topicType1, “byPainter_rt”, painting_tt) (topicType2, “byPainter_rt”, painter_tt) (instanceOf, “biography_at”, AnchorType) (anchorRole, “biography_at”, “biography”) (topicType, “biography_at”, painter_tt) Representing Schema using RDF Topic Types (schema): painting, painter Topic Rel Types (schema): by painter Anchor Types (schema): biography paintingpainter by painter biography

22. Representing Instances using RDF (instanceOf, “painter1”, TopicInstance) (title, “painter1”, “Paul Klee”) (topicInsID, “painter1”, “5”) (topic_instOf, “painter1”, painter_tt) (instanceOf, “painting1”, TopicInstance) (title, “painting1”, “Captive”) (topicInsID, “painting1”, “19”) (topic_instOf, “painting1”, painting_tt) (instanceOf, “byPainter1”, TopicRelInst) (rel_instOf, “byPainter1”, byPainter_rt) (topicIns1, “byPainter1”, painting1) (topicIns2, “byPainter1”, painter1) (instanceOf, “biography1”, AnchorInst) (anchor_instOf, “biography1”, biography_at) (address, “biography1”, a1) (instanceOf, “a1”, Address) (markID, “a1”, “URLMarkManager@954308545”) Topic Instances (instance): Paul Klee, Captive Topic Relationship (instance): a by painter relationship Anchor (instance): a biography anchor Address (instance): mark to url

23. Harvesting Information to Sustain our Forests: Creating an Adaptive Management Portal NSF DIGITAL GOVERNMENT PROGRAM Tim Tolle & Lois Delcambre ttolle@fs.fed.us lmd@cse.ogi.edu Co-Project Directors

24. Project focuses on the: Adaptive Management Areas USDA Forest Service USDA Forest Service USDI Bureau of Land Management USDI Fish and Wildlife Service

25. Team Members Tim Tolle Regional Coordinator for AMA, US Forest Service Eric Landis Forest Information System Specialist, Consultant Craig Palmer Natural Resources Monitoring Expert, UNLV Fred Phillips Professor, Head, Mgt. of Science and Tech., OGI Patty Toccalino Asst. Prof., Environmental Science and Eng., OGI Lois Delcambre Professor, Computer Science and Eng., OGI David Maier Professor, Computer Science and Eng., OGI Shawn Bowers PhD Student, Computer Science and Eng., OGI Mat Weaver PhD Student, Computer Science and Eng., OGI Forest/environmental expertise Computer science expertise

26. Staff Scientist, Pacific Northwest National Laboratory Mark Whiting Science Advisor, USDI, National Park Service Regina Rochefort Communications Director, USDA Forest Service, PNW Research Station Cynthia L. Miner Chief, Office of Technical Support, Forest Resources, USDI Fish and Wildlife Service Monty Knudsen Executive Director, IMFN Secretariat Fred Johnson MD, Asst. Professor, Division of Medical Informatics and Outcomes Research, OHSU Paul Gorman Sustainable Northwest Martin Goebel USDA Forest Service, Pacific NW Region Robert Devlin President, IUFRO, Oxford Forestry Institute, Dept of Plant Sciences Jeff Burley Co-Inventor of the Topic Map Model Michel Biezunski Advisory Board Forest/environmental expertise Computer science expertise

27. The Research: Reuse Human Attention 1992 bird sightings at National Park 1995 migration patterns of two particular species (painstakingly identified species for bird sightings) study 2000 you need a survey of all species - for a biodiversity study the classification of the species of the bird sightings are gone!

28. Goal: Reuse Human Attention (cont.) The original bird sightings Two species identified (pink & white)

29. Goal: Reuse Human Attention White bird sightings Pink bird sightings Other bird sightings

30. When you can’t modify the base data: Use superimposed information Two species identified (pink & white) pink birds white birds

31. Things we’ve learned from Task 1 NSF Digital Government  work is project-based  primary product is information: assessments, studies, surveys, environmental impact statements  multiple agencies are involved  each agency serves as information gatherer; information broker; information consumer  even though information is a primary product, information technology is secondary (stewardship of the land is the primary mission)

33. Table 1. The XML model described in terms of the superimposed-information metamodel. The elements of the XML model (bottom) are instances of the corresponding Metamodel element definitions (top). Metamodel Elements ConstructsLexicalsConnectorsConformance Connectors XML Model Element Type Attribute Type Element Attribute Primitive Content Type Primitive Content Nested Element Type Connects Two Element Types Nested Element Connects Two Elements Element Content Connects an Element to Primitive Content Element Content Type Connects an Element Type to Prim. Content Type Element Attribute Connects an Element to an Attribute Attribute Element Type Connects an Element Type to an Attribute Type Element Instance Of Connects an Element to its Element Type Attribute Instance Of Connects an Attribute to its Attribute Type Content Instance Of Connects Prim. Content to its Primitive Content Type

34. A Notional View of AMA Portal Terminology- Based Access Relevant Information Highlighted (Base Info.) User- Supplied Annotation

39. Topic Map Example PaintingPainter by painter Influenced by “Captive” “Paul Klee” by painter influenced by “Francisco de Goya” “1914” by painter mentioned biographyreferenced referenced http://... biographybiography http://...http://... critiqued critiqued mentioned http://... http://...