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Harvesting Information to Sustain our Forests:

Creating anAdaptive Management Portal

NSF DIGITAL GOVERNMENT PROGRAM August 2000

Tim Tolle & Lois DelcambreCo-Project Directors

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Adaptive Management

Areas

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Internet Issues Unable to access all sites concurrently Search engines frequently “miss”

relevant sites No reliable determination of quality of

information Non-discriminating and numerous “hits”

with traditional search engines

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So… Eric Landis – vision of access to forest

information portal Craig Palmer – NSF Digital

Government Call for Proposals Oregon Graduate Institute – marketing

and computer science expertise – partner for Digital Government Proposal

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

Provide multiple access paths to underlying forest-related information.

Preserve local autonomy and local focus of each site.

Support diverse users and diverse types of information.

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Project Specifics Duration: 3 years Budget: $1.5 million Principal financial sponsors

National Science Foundation Forest Service (R-6 and PNW Station) National Park Service (Western Region) Bureau of Land Management (Oregon State

Office)

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Participants:

Adaptive Management Areas (FS, BLM, FWS field units) Rainier National Park Oregon Graduate Institute (CS, ES, MS departments) Forest Service (Northwest Region) University of Nevada, Las Vegas

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Principal Team MembersTim 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 and Head, Mgt. of Science and Tech., OGIProfessor and 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

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Staff Scientist, Pacific Northwest National LaboratoryMark Whiting

Science Advisor, USDI, National Park ServiceRegina 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 SecretariatFred Johnson

MD, Asst. Professor, Division of Medical Informatics

and Outcomes Research, OHSU Paul Gorman

Sustainable NorthwestMartin Goebel

USDA Forest Service, Ecosystem ManagementSteve Solem

President, IUFRO, Oxford Forestry Institute, Dept of Plant Sciences

Jeff Burley

Co-Inventor of the Topic Map ModelMichel BiezunskiAdvisory Board

Forest/env. expertiseForest/env. expertise Computer science expertiseComputer science expertise

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Adaptive Management Portal System Description

An Internet-based catalogue, access, and retrieval system with dedicated service for Adaptive Management Area-generated information.

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Provides Concurrent Searching to Multiple Content, Formats and Autonomous Sites

?AMA 1

AMA 2

AMA 4AMA 3

AMA 6

AMA 5

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Adaptive Management PortalKey Elements

Collection Policy Standardized Meta-information Fields; use

of controlled vocabularies User-friendly Interface Compatible with AMA resources

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Adaptive Management PortalCollection Policy

Provides guidance on the type of information which should be included as a part of the system. Typically includes: Types of eligible information resources Format for meta-information (catalogue) Quality of eligible information resources Conditions for entering meta-information

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Adaptive Management PortalMeta-information

Necessary auxiliary information needed to understand, locate, and search for information.

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Basic Meta-information Fields

Title Author or Creator Subject & Key Words Abstract or Other Text

Description Publisher (or AMA) Date Made Available Type (e.g. Paper, WWW

Page, Dictionary) Format (e.g. Map, Text)

Resource Identifier (E.G. ISBN, URL)

Source (If Not Original) Language Relation (Conference,

Compendium) Coverage (Spatial and

Temporal) Rights (Copyright

Notice)

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Controlled Vocabularies and Thesaurii

Use common terms – for metadata & searching

Existing standards: Integrated Taxonomic Information System California Environmental Resources Evaluation System National Vegetation Classification Standard USFS Natural Resource Inventory Glossary NBII/FGDC

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Adaptive Management Portal Technical Objectives

Provide easy access to a distributed network Provide for local autonomy Provide a scalable system Provide an extensible design Explore and identify the use of controlled

vocabularies Explore the capability for user-supplied

annotations and structure

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Research: Use “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!

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Goal: Reuse Human Attention

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

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Goal: Reuse Human Attention

Black bird sightingsBlack bird sightings Pink bird sightingsPink bird sightingsOther speciesOther species

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

Two species identified (pink & black)

pink birdsblack birds

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Superimposed Information

Superimposed Superimposed LayerLayer

BaseBaseLayerLayer InformatioInformatio

n Sourcen Source11

InformatioInformatio

n Sourcen Source22

InformatioInformatio

n Sourcen Sourcenn

…

marksmarks

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SLIMPad a superimposed application… …using superimposed information developed for a related research project at

OGI

may be applicable to gathering and organizing information

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Work 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

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Task 1 – Status Workshops @ Snoqualmie Pass Adaptive

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

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

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

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

Rainier National Park (planned for October)

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Questions for the perspective users

What kind of information would you want?

What kind of information will you provide?

What kind of “meta-information” is needed?

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

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Questions for the prospective organizations

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

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

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Things learned from Task 1

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)

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Responses to Technical Questions

What kind of information would you want?

What kind of information will you provide?

What kind of “meta-information” is needed?

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

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Responses to questions of the organizations

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

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

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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

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<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*

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Three Basic Types of Mappings

Model1

Schema1

Instances1

Source Target

Mapped

Converted

Converted

Mapped

Converted

Mapped

Converted

Converted

Inter-Model

Inter-Schema

Model-to-Schema

Model2

Schema1

Instances1

Model1

Schema1

Instances1

Model1

Schema1

Instances1

Model1

Schema2

Instances1

Model2

Schema2

Instances