how to integrate the results of the country reports in the semantic wiki
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Atrium – Forest Consulting Zvolen 2012
How to integrate the results of the Country Reports in the Semantic Wiki
Silvana R. NobreAtrium Forest Consulting, Brasil
Luiz Carlos E. RodriguezUniversity of São Paulo, Brasil
Atrium – Forest Consulting Zvolen 2012
How to integrate the results of the Country Reports in the Semantic Wiki
1. Actual situation & objectives
2. Knowledge representation basic concepts
3. Models & Examples
4. Attribute Values
5. What is ahead?
Atrium – Forest Consulting Zvolen 2012
What we have done until now
1. Actual situation & Objectives
a. We have collected data about the use of DSS on Forest Planning in each Country.
b. We have interpreted data and their relations
c. Those data make sense in compiled reports
d. We have similar reports for each Country
e. We have read and analyzed CR under some perspective26 reports!!
Understanding
Cont
ext
Data
Information
Knowledge
Wisdom
relations
patterns
Principles, explanations
We are here!!
Atrium – Forest Consulting Zvolen 2012
1. Actual situation & Objectives
Understanding
Cont
ext
Data
Information
Knowledge
Wisdom
relations
patterns
Principles, explanations
We want to get there!!!
What do we want?a. Guidelines to development
b. Guidelines to use of DSS
c. Lessons learned…
d. …
Atrium – Forest Consulting Zvolen 2012
1. Understand patterns on Country Reports• We have already done a great effort to it!!• How far have we got on standardization?
2. Do knowledge model
3. Agree on a single “place” to store our knowledge base
4. Bring to the knowledge base what is already done.
5. Create a Knowledge base
6. Semantic wiki will make the knowledge base available
7. Look for explanations, principles, guidelines…
Knowledge
Technology
People
Value!!!
1. Actual situation & Objectives
Atrium – Forest Consulting Zvolen 2012
2. Knowledge representation basic concepts
1. Objects & Class of Objects that participated the experiences we want to
transform in knowledge.
2. We must choose which objects from the real world we are going to represent
3. We must describe those objects
4. Describe an object means “say what are the attributes of each object”
5. Each attribute has his own set of possible values
Knowledge from experience
1. What are our relevant objects?
2. What are their common attributes?
3. What are the attributes possible value?
Answers are inside the CR
Atrium – Forest Consulting Zvolen 2012
2. Knowledge representation basic concepts
There will be an agent (a robot, or a semantic wiki ) ready and prepared to
read information and present as knowledge to humans.
The agent deals with (object, attribute, value) vectors.
Knowledge from experience
Structured &
InterpretedInformation
Semantic Wiki
Atrium – Forest Consulting Zvolen 2012
3. Model & Examples
Objects of the real world
Level of object description can be:
• CR + Problem Type• DSS + Problem Type• CS + Problem Type
Important task: common classification for Problem Type
• Temporal scale: strategic; • Spatial context: spatial with no
neighborhood interrelation; • Spatial Scale: stand level;• Single Decision making• Single objective;• Function: wood productsProblem Type #1
Atrium – Forest Consulting Zvolen 2012
Describing Objects
heritage:
• A DSS+PT can inherit an attribute from a CR+PT• CS + PT can inherit an attribute from a CR+PT
Examples on “Object, Attribute, Value” representation.
• (Austria Problem Type 1; Model; “Forest Species Conversion”)
• (Austria Problem Type 1; KM Technique; “Relational Database”)
• (Austria Problem Type 1; Volume estimation; “process -based”)
• (Austria Problem Type 1; Modeling Techniques; “Multi-criteria Analysis”)
Example on heritage:
• ClimChalp DSS inherits the attribute “Forest Species conversion” from Austria Problem Type 1
3. Model & Examples
Atrium – Forest Consulting Zvolen 2012
General Model
3. Model & Examples
Atrium – Forest Consulting Zvolen 2012
Model Application: Graph Examples
3. Model & Examples
Atrium – Forest Consulting Zvolen 2012
4. Attribute Values
1. It is a potential problem
2. Some of them we already know the set of possible values
3. We must avoid replication: same meaning, different words
4. Suggestion: concentrate the job in a team (STSM)
5. Attach two attribute values of a same attribute class to an single object
6. Classical examples:
Modeling Techniques
• Linear programming• Goal Programing• Heuristics• Multi-criteria analysis• Dynamic Programing• …..
Models
• Harvest Scheduling• Species Conversion• Transportation• Daily truck dispatch• Road design optimization• Genetic Material Allocation• ….
Atrium – Forest Consulting Zvolen 2012
6. What is ahead?
1. Understand patterns on Country Reports• We have already done a great effort to it!!• How far have we got on standardization?
2. Validate a knowledge model
3. Agree on a single “place” to store our knowledge base
4. Bring to the knowledge base what is already done.
5. Create a unique Knowledge base
6. Semantic wiki will make the knowledge base available
7. Look for explanations, principles, lessons learned, guidelines…
Atrium – Forest Consulting Zvolen 2012
Thanks! Silvana Nobre
Atrium Forest Consulting, Brasil