harvesting information to sustain our forests: creating an adaptive management portal nsf digital...

Harvesting Information to Harvesting Information to Sustain our Forests:Sustain our Forests:

Creating anCreating anAdaptive Management PortalAdaptive Management Portal

NSF DIGITAL GOVERNMENT PROGRAMNSF DIGITAL GOVERNMENT PROGRAM

Tim Tolle & Lois DelcambreTim Tolle & Lois [email protected] [email protected]@fs.fed.us [email protected]

Co-Project DirectorsCo-Project Directors

OverviewOverview

Government partners & project structureGovernment partners & project structure

Project plan and initial progressProject plan and initial progress

““Digital Duct Tape” ResearchDigital Duct Tape” Research Results to dateResults to date Role in our Digital Government projectRole in our Digital Government project Role in our Digital Library projectRole in our Digital Library project

Project focuses on Project focuses on the:the:

Adaptive Adaptive

ManagementManagement AreasAreas

USDA Forest ServiceUSDA Forest ServiceUSDI Bureau of Land USDI Bureau of Land

ManagementManagementUSDI Fish and USDI Fish and Wildlife ServiceWildlife Service

http://www.teleport.com/cgi-bin/imagemap/~amanet/amanew.map

HistoryHistory

Eric Landis – vision of access to forest Eric Landis – vision of access to forest information through a portalinformation through a portal

Craig Palmer – NSF Digital Government Craig Palmer – NSF Digital Government Program AnnouncementProgram Announcement

Oregon Graduate Institute –computer science Oregon Graduate Institute –computer science expertise and marketing – lead institution for expertise and marketing – lead institution for Digital Government ProposalDigital Government Proposal

Adaptive Management Portal:Adaptive Management Portal: a value-added, Internet-based servicea value-added, Internet-based service

Provide Provide multiple access pathsmultiple access paths to forest information. to forest information.

Preserve Preserve local autonomylocal autonomy and local focus of each site. and local focus of each site.

Support Support diversediverse usersusers and types of information. and types of information.

Use proposed, existing, and de facto Use proposed, existing, and de facto standardsstandards for content, for content, classification, and technology.classification, and technology.

Be Be low-costlow-cost, , scalablescalable, , extensibleextensible..

Project FundingProject Funding

Duration: 3 yearsDuration: 3 years

Budget: $1.5 millionBudget: $1.5 million

Principal financial sponsorsPrincipal financial sponsors National Science FoundationNational Science Foundation Bureau of Land Management (Oregon State Office)Bureau of Land Management (Oregon State Office) Forest Service (R-6 and PNW Station)Forest Service (R-6 and PNW Station) National Park Service (Western Region)National Park Service (Western Region)

Project ParticipantsProject Participants

Adaptive Management Areas (FS, BLM, FWS field units)Adaptive Management Areas (FS, BLM, FWS field units)

Oregon Graduate Institute Oregon Graduate Institute (CSE, ESE, MST departments)(CSE, ESE, MST departments)

University of Nevada, Las Vegas University of Nevada, Las Vegas (Natural Resources Monitoring)(Natural Resources Monitoring)

Forest Service (Northwest Region – Strategic Planning Forest Service (Northwest Region – Strategic Planning and Information Management departments)and Information Management departments)

Rainier National ParkRainier National Park

Team MembersTeam Members

Tim Tolle Tim Tolle Regional Coordinator for AMA, US Forest ServiceRegional Coordinator for AMA, US Forest Service

Eric LandisEric Landis Forest Information System Specialist, ConsultantForest Information System Specialist, Consultant

Craig PalmerCraig Palmer Natural Resources Monitoring Expert, UNLVNatural Resources Monitoring Expert, UNLV

Fred PhillipsFred Phillips Professor, Head, Mgt. of Science and Tech., OGIProfessor, Head, Mgt. of Science and Tech., OGI

Patty ToccalinoPatty Toccalino Asst. Prof., Environmental Science and Eng., OGIAsst. Prof., Environmental Science and Eng., OGI

Lois DelcambreLois Delcambre Professor, Computer Science and Eng., OGIProfessor, Computer Science and Eng., OGI

David MaierDavid Maier Professor, Computer Science and Eng., OGIProfessor, Computer Science and Eng., OGI

Shawn BowersShawn Bowers PhD Student, Computer Science and Eng., OGIPhD Student, Computer Science and Eng., OGI

Mat WeaverMat Weaver PhD Student, Computer Science and Eng., OGIPhD Student, Computer Science and Eng., OGI

Forest/environmental expertiseForest/environmental expertise Computer science expertiseComputer science expertise

Staff Scientist, Pacific Northwest National LaboratoryStaff Scientist, Pacific Northwest National LaboratoryMark WhitingMark Whiting

Science Advisor, USDI, National Park ServiceScience Advisor, USDI, National Park ServiceRegina RochefortRegina Rochefort

Communications Director, USDA Forest Service, PNW Communications Director, USDA Forest Service, PNW Research StationResearch StationCynthia L. MinerCynthia L. Miner

Chief, Office of Technical Support, Forest Resources, Chief, Office of Technical Support, Forest Resources, USDI Fish and Wildlife ServiceUSDI Fish and Wildlife ServiceMonty KnudsenMonty Knudsen

Executive Director, IMFN SecretariatExecutive Director, IMFN SecretariatFred JohnsonFred Johnson

MD, Asst. Professor, Division of Medical Informatics and MD, Asst. Professor, Division of Medical Informatics and Outcomes Research, OHSUOutcomes Research, OHSU Paul GormanPaul Gorman

Sustainable NorthwestSustainable NorthwestMartin GoebelMartin Goebel

USDA Forest Service, Pacific NW RegionUSDA Forest Service, Pacific NW RegionRobert DevlinRobert Devlin

President, IUFRO, Oxford Forestry Institute, Dept of Plant President, IUFRO, Oxford Forestry Institute, Dept of Plant SciencesSciencesJeff BurleyJeff Burley

Co-Inventor of the Topic Map ModelCo-Inventor of the Topic Map ModelMichel BiezunskiMichel Biezunski

Advisory BoardAdvisory Board

Forest/environmental expertiseForest/environmental expertise Computer science expertiseComputer science expertise

OverviewOverview

Government partners & structureGovernment partners & structure



Work PlanWork Plan

4. Architect and scale the information portal

technology

2. Articulate and evolve the requirements for the system

5. Experimentally deploy the technology at AMA sites

3.Conceptually develop the information portal technology

Major influence

Iterative influence

6. Evaluate the Project

opportunities

1. Understand the customer requirements and

Task 1 – StatusTask 1 – Status Workshops @ Snoqualmie Pass Adaptive Management Workshops @ Snoqualmie Pass Adaptive Management

Area, Cle Elum, WA Area, Cle Elum, WA (June and July)(June and July)

Interviews with Forest Service Corvallis Forest Sciences Interviews with Forest Service Corvallis Forest Sciences Lab and USGS FRESC, Corvallis (Lab and USGS FRESC, Corvallis (August)August)

Interviews with Central Cascades Adaptive Management Interviews with Central Cascades Adaptive Management Area, Eugene Area, Eugene (August)(August)

Interviews with the Applegate Partnership and its Interviews with the Applegate Partnership and its associated agencies associated agencies (August)(August)

Rainier National Park Rainier National Park (planned for October)(planned for October)

Questions for Prospective UsersQuestions for Prospective Users

What kind of information would you want?What kind of information would you want?

What kind of information will you provide?What kind of information will you provide?

What kind of “meta-information” is needed?What kind of “meta-information” is needed?

Which terminology do you use? Do you use Which terminology do you use? Do you use special semantics?special semantics?

Questions for Prospective OrganizationsQuestions for Prospective Organizations

What should the collection policy be?What should the collection policy be? What training is needed? For whom?What training is needed? For whom? What are the organization’s financial and funding What are the organization’s financial and funding capabilities? capabilities?

Who does data management?Who does data management? What expertise is available (including time)?What expertise is available (including time)? What resource equipment is required? Available?What resource equipment is required? Available? Who are the customers? Why?Who are the customers? Why?

OverviewOverview




The Research: Exploit “Digital Duct Tape”The Research: Exploit “Digital Duct Tape”

19921992bird sightings bird sightings at National Parkat National Park

19951995migration patternsmigration patternsof two particular speciesof two particular species(painstakingly identified(painstakingly identifiedspecies for bird sightings)species for bird sightings)

study

20002000you need a survey of all species - for ayou need a survey of all species - for abiodiversity studybiodiversity studythe classification of the species of the classification of the species of the bird sightings are gone!the bird sightings are gone!

Goal: Reuse Human AttentionGoal: Reuse Human Attention

The original bird sightingsThe original bird sightings Two species identified Two species identified (pink & white)(pink & white)

Goal: Reuse Human AttentionGoal: Reuse Human Attention

White bird sightingsWhite bird sightings Pink bird sightingsPink bird sightingsOther bird sightingsOther bird sightings

When you can’t modify the base data:When you can’t modify the base data:Use superimposed informationUse superimposed information

Two species identified (pink & white)

pink birdswhite birds

Superimposed and base layers Superimposed and base layers with markswith marks

Superimposed Superimposed LayerLayer

BaseBaseLayerLayer InformatioInformatio

n Sourcen Source11

InformatioInformatio

n Sourcen Source22

InformatioInformatio

n Sourcen Sourcenn

…

marksmarks

Topic Map ExampleTopic Map Example

PaintingPainting PainterPainterby painterby painter

Influenced byInfluenced by

““Captive”Captive” ““Paul Klee”Paul Klee”by painterby painter influenced byinfluenced by

““Francisco de Goya”Francisco de Goya”

““1914”1914”by painterby painter

mentionedmentioned biographybiographyreferencedreferenced

referencedreferencedhttp://...http://...

biographybiography biographybiography

http://...http://...http://...http://...

critiquedcritiqued

critiquedcritiqued

mentionedmentioned

http://...http://...

http://...http://...

SLIMPad DemoSLIMPad Demo

SuperimposedApplication

BaseApplicationuser

SimultaneousViewing

Enhanced Base-LayerViewing

BaseApplication

AddedSuperimposedFunctionality

IndependentViewing

Three viewing styles for superimposed applications.


BaseApplication

borrowsfunctionality

user user

Superimposed Layer Superimposed Layer Information Manager (SLIM) Architecture:Information Manager (SLIM) Architecture:

ContributionsContributions

SLIM API - for the application developerSLIM API - for the application developer

TRIM store - for generic storage of TRIM store - for generic storage of superimposed informationsuperimposed information

Mark Management - to create/resolve marksMark Management - to create/resolve marks


The general architecture for managingsuperimposed information

Superimposed Information ManagementApplication

Data

ApplicationSpecific

API

GenericManagement

TRIMStore

creates and manages

Mark Management

SLIM APISLIM API

Bundle

bundleName : StringbundleXPos : NumberbundleYPos : NumberbundleHeight : NumberbundleWidth : Number

Scrap

scrapName : StringscrapXPos : NumberscrapYPos : Number

SLIMPad

padName : String Mark

markId : String

1 *

1

*

*

0..1

Structured Bundle Model for SLIMPad.

AbstractBundle

Mark Management

SLIMPad

Mark Manager

Mark DB

user

XML Documents

PDF files

Web Pages

Excel Spreadsheets

PPT Files

Superimposed Information Management

XML Viewer

PDF Viewer

IE Explorer

MS Excel

MS PowerPoint

HTML Module

Excel Module

PowerPoint Module

XML Module

PDF Module

Model

Schema Data

Instance Data with Marks

InformationSource1

InformationSource2

SuperimposedLayer

BaseLayer

marksmarks

Model-Based Superimposed InformationModel-Based Superimposed Information

But the model and schema are optionalBut the model and schema are optional

Generic Representation of Information Generic Representation of Information

Topic MapTopic Map

Topic Map Topic Map DefintionDefintion

Topic Map Topic Map InstancesInstances

XMLXML

DTDDTD

XML XML DocumentDocument

MetamodelMetamodel

SuperimposedSuperimposedLayerLayer

Basic Set of Basic Set of AbstractionsAbstractions

Model Constructs Model Constructs and Relationshipsand Relationships

Schema-LevelSchema-LevelDataData

Instance-LevelInstance-LevelDataData

<RDF> <Construct ID=”ElementType”/> <Construct ID=”AttributeType”/> <Construct ID=”Element”/> <Construct ID=”Attribute”/> <Construct ID=”Content”/> <Lexical ID=”ContentType”/>

<Connector ID=”elemTypeName”> <domain resource=”#ElementType”/> <range resource=”#String”/> <domainMult value=”*”/> <rangeMult value=”1”/> </Connector> <Connector ID=”nestedElemType”> <domain resource=”#ElementType”/> <range resource=”#ElementType”/> <domainMult value=”0..1”/> <rangeMult value=”*”/> </Connector> <Conformance ID=”elemInstOf”> <domain resource=”#Element”/> <range resource=”#ElementType”/> <domainMult value=”*”/> <rangeMult value=”0..1”/> </Conformance> …</RDF>

ElementType

AttributeType

Element Attribute

PrimitiveContent

elemTypeName : String

attTypeName : String

tagName : String attName : StringattValue : String

<<conformance>>elemInstOf

holds

attributeOf

attTypeOf

<<conformance>>attInstOf

*

*

*

*

0..1

0..11

1*

0..11

nestedElemType

nestedElem

*

0..1

0..1

Figure 7. The XML model represented using UML with a sample of the RDF representation.

<<Lexical>>PrimitiveContentType

text : String

*

<<conformance>>contentHasType

0..1elemContType

0..1*

Representing Model using RDFRepresenting Model using RDF

(instanceOf, “(instanceOf, “TopicTypeTopicType”, Construct)”, Construct)(instanceOf, “(instanceOf, “TopicInstanceTopicInstance”, ”, Construct)Construct)

(instanceOf, “(instanceOf, “ttypenamettypename”, Connector)”, Connector)(domain, “ttypename”, TopicType)(domain, “ttypename”, TopicType)(range, “ttypename”, String)(range, “ttypename”, String)(domainMult, “ttypename”, “*”)(domainMult, “ttypename”, “*”)(rangeMult, “ttypename”, “1”)(rangeMult, “ttypename”, “1”)

(instanceOf, “(instanceOf, “topic_instOftopic_instOf”, ”, Conformance)Conformance)(domain, “topic_instOf”, (domain, “topic_instOf”, TopicInstance)TopicInstance)(range, “topic_instOf”, TopicType)(range, “topic_instOf”, TopicType)(domainMult, “topic_instOf”, “*”)(domainMult, “topic_instOf”, “*”)(rangeMult, “topic_instOf”, “1”)(rangeMult, “topic_instOf”, “1”)

TopicType

ttypename : String

TopicInstance

*

1

<<conformance>>topic_instOf

(instanceOf, “(instanceOf, “painting_ttpainting_tt”, TopicType)”, TopicType)(ttypename, “painting_tt”, “painting”)(ttypename, “painting_tt”, “painting”)(instanceOf, “(instanceOf, “painter_ttpainter_tt”, TopicType)”, TopicType)(ttypename, “painter_tt”, “painter”)(ttypename, “painter_tt”, “painter”)

(instanceOf, “(instanceOf, “byPainter_rtbyPainter_rt”, ”, TopicRelType)TopicRelType)(relType, “byPainter_rt”, “by painter”)(relType, “byPainter_rt”, “by painter”)(topicType1, “byPainter_rt”, painting_tt)(topicType1, “byPainter_rt”, painting_tt)(topicType2, “byPainter_rt”, painter_tt)(topicType2, “byPainter_rt”, painter_tt)

(instanceOf, “(instanceOf, “biography_atbiography_at”, ”, AnchorType)AnchorType)(anchorRole, “biography_at”, (anchorRole, “biography_at”, “biography”)“biography”)(topicType, “biography_at”, painter_tt)(topicType, “biography_at”, painter_tt)

Representing Schema using RDFRepresenting Schema using RDF

Topic Types (schema):Topic Types (schema):painting, painterpainting, painter

Topic Rel Types (schema):Topic Rel Types (schema):by painterby painter

Anchor Types (schema):Anchor Types (schema):biographybiography

paintingpainting painterpainterby painterby painter

biographybiography

Representing Instances using RDFRepresenting Instances using RDF

(instanceOf, “painter1”, TopicInstance)(instanceOf, “painter1”, TopicInstance)(title, “painter1”, “Paul Klee”)(title, “painter1”, “Paul Klee”)(topicInsID, “painter1”, “5”)(topicInsID, “painter1”, “5”)(topic_instOf, “painter1”, painter_tt)(topic_instOf, “painter1”, painter_tt)(instanceOf, “painting1”, TopicInstance)(instanceOf, “painting1”, TopicInstance)(title, “painting1”, “Captive”)(title, “painting1”, “Captive”)(topicInsID, “painting1”, “19”)(topicInsID, “painting1”, “19”)(topic_instOf, “painting1”, painting_tt)(topic_instOf, “painting1”, painting_tt)

(instanceOf, “byPainter1”, TopicRelInst)(instanceOf, “byPainter1”, TopicRelInst)(rel_instOf, “byPainter1”, byPainter_rt)(rel_instOf, “byPainter1”, byPainter_rt)(topicIns1, “byPainter1”, painting1)(topicIns1, “byPainter1”, painting1)(topicIns2, “byPainter1”, painter1)(topicIns2, “byPainter1”, painter1)

(instanceOf, “biography1”, AnchorInst)(instanceOf, “biography1”, AnchorInst)(anchor_instOf, “biography1”, biography_at)(anchor_instOf, “biography1”, biography_at)(address, “biography1”, a1)(address, “biography1”, a1)

(instanceOf, “a1”, Address)(instanceOf, “a1”, Address)(markID, “a1”, (markID, “a1”, “URLMarkManager@954308545”)“URLMarkManager@954308545”)

Topic Instances (instance):Topic Instances (instance):Paul Klee, CaptivePaul Klee, Captive

Topic Relationship (instance):Topic Relationship (instance):a by painter relationshipa by painter relationship

Anchor (instance):Anchor (instance):a biography anchora biography anchor

Address (instance):Address (instance):mark to urlmark to url

Three Basic Types of MappingsThree Basic Types of Mappings

ModelModel11

SchemaSchema11

InstancesInstances11

SourceSource TargetTarget

MappedMapped

ConvertedConverted

ConvertedConverted

MappedMapped

ConvertedConverted

MappedMapped

ConvertedConverted

ConvertedConverted

Inter-ModelInter-Model

Inter-SchemaInter-Schema

Model-to-Model-to-SchemaSchema

ModelModel22

SchemaSchema11


ModelModel11

SchemaSchema11


ModelModel11

SchemaSchema11

InstancesInstances1 1

ModelModel11

SchemaSchema22


ModelModel22

SchemaSchema22


OverviewOverview




Things we’ve learned from Task 1 Things we’ve learned from Task 1 NSF Digital GovernmentNSF Digital Government

work is project-basedwork is project-based primary product is information: assessments, primary product is information: assessments,

studies, surveys, environmental impact statementsstudies, surveys, environmental impact statements multiple agencies are involvedmultiple agencies are involved each agency serves as information each agency serves as information gatherergatherer; ;

information information brokerbroker; information ; information consumerconsumer even though information is a primary product, even though information is a primary product,

information technology is secondary (stewardship information technology is secondary (stewardship of the land is the primary mission) of the land is the primary mission)

OverviewOverview




Paul Gorman, MD Lois Delcambre, PhDDavid Maier, PhD

Bundles in the wild………..Bundles in the wild………..

Observational team:Observational team:Paul GormanPaul GormanJoan AshJoan AshMary LavelleMary LavelleJason LymanJason Lyman

……………………..Bundles in captivity..Bundles in captivityComputer science team:Computer science team:

Lois DelcambreLois DelcambreDave MaierDave MaierShawn BowersShawn BowersLongxing DengLongxing DengMathew WeaverMathew Weaver

(Wild) Bundles(Wild) Bundles

(Wild) Bundles(Wild) Bundles

There is benefit in creating There is benefit in creating (active processing of information)(active processing of information)

There is benefit in reusing There is benefit in reusing (trigger memory)(trigger memory)

There is benefit in sharing There is benefit in sharing (establish collective, situated awareness)(establish collective, situated awareness)

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

Constructs Lexicals Connectors Conformance Connectors

XML Model

Element Type Attribute Type Element Attribute Primitive Content Type Primitive Content

PrimitiveContent

Nested Element Type Connects Two Element Types Nested ElementConnects Two Elements Element ContentConnects an Element to Primitive Content Element Content TypeConnects an Element Type to Prim. Content Type Element AttributeConnects an Element to an Attribute Attribute Element TypeConnects an Element Type to an Attribute Type

Element Instance OfConnects an Element to its Element Type Attribute Instance OfConnects an Attribute to its Attribute Type Content Instance OfConnects Prim. Content to its Primitive Content Type

A Notional View of AMA PortalA Notional View of AMA Portal

Terminology- Based Access

Relevant Information Highlighted(Base Info.)

User-Supplied Annotation

Figure 3: SLIMPad Screenshot showing two marks: one to Excel and one to XML.

TopicType

ttypename : String

<<Mark>> Address

markId : String

topic Type1

1

*

Figure 9. CARTE’s Structured Map model.

TopicInstance

title : String topicInsID : Number

TopicRelType

relType : String

TopicRelInst

AnchorInst AnchorType

anchorRole : String

topic Type2

1

1 1 topic Ins1

topic Ins2

<<conformance>> topic_instOf

<<conformance>> rel_instOf

<<conformance>> anchor_instOf

topicType

* * * *

1

*

1

topicIns

* 1

address

1

1

1 *

*

*

Bundle

bundleName : String bundleXPos : Number bundleYPos : Number

Scrap

scrapName : String scrapXPos : Number scrapYPos : Number

AbstractBundle AbstractTemplate

SlimPad

padName : String

PadTemplate

templateName : String

<<conformance>> pad_instOf

BundleTemplate

bundleTypeName : String

parent Bundle

nested Bundle

parent Template

nested Template

<<Mark>> ScrapMark

markId : String

<<conformance>> bundle_instOf

enclosing Bundle

bundle Content scrap

Mark

1

*

1

*

1

*

* 1

*

*

0..1

0..1

Figure 10. SLIMPad’s Structured Bundles Model.

subBundle

subBundle

subTemplate

subTemplate

BundleTemplate TopicType

a. Construct to Construct

source target

mapping Bundle TopicInstance

b. Instance to Schema Construct

mapping

Bundle TopicInstance

c. Connector to Connector

mapping

BundleTemplate TopicType

topic_instOf bundle_instOf

AbstractTemplate

d. Connector to Construct

PadTemplate BundleTemplate nested Template

parent Template

TopicType

TopicRelType

relType : String

topic Type1

topic Type1

mapping

Figure 13. Inter-model mappings from Structured Bundles to Structured Maps represented visually.

source target

source target source target

harvesting information to sustain our forests: creating an adaptive management portal nsf digital...

Documents

wildlife service slide

forest resources

digital library project

environmental science

coproject directors

ogi lois delcambre professor

types of information

harvesting information