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Transcript of 1 Harvesting Information to Sustain our Forests: Creating an Adaptive Management Portal NSF DIGITAL...
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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