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Brazilian Cerrado ontology network
and qualitative models: a case study
application of geolinked data
approach to Ecology
Adriano Souza
University of Brasilia, Brazil
2013
This presentation
• Introduction
• Background and state of the art
• Research question
• Hypothesis
• The proposal
• Work in progress
• What is next…

2 of 41
Ecoinformatics
A field of research and development focused on the interface
between ecology, computer science, and information technology.
“Ecologists have recognized the need for integrated data
systems to support cross-disciplinary collaboration to
understand the basic ecological principles that govern the
biosphere.”
Green et al. (2005)

3 of 41
AI Technologies can be useful to theoretical development in Ecology:

• To organize knowledge bases compatible with computers,

including qualitative and quantitative knowledge;
• To perform fast assessment of assumptions, hypotheses and
other ideas in a theoretical context;
• To determine the consequences and the logical consistency of
long and complex paths of ecological reasoning.

Maybe the most immediate impact of AI Technologies will be on
the way ecologists organize, develop and implement models.
Rykiel (1989)
4 of 41
Why models are necessary?
• To build and use models contribute to…
• Understand the structure of systems;
• Predict the behavior of systems;
• Control variables in order to obtain specific results.

• They are used in:
• Scientific research;

• Decision making and management;
• Education and training.

5 of 41
Ecological models
To build ecological models is a complex task because...
1. Ecological models are heterogeneous, including both qualitative

and quantitative knowledge;
2.It is hard to collect data and perform experiments;
3.The available data is incomplete, inaccurate, uncertain and
many times expressed in qualitative terms;
4.The theoretical foundations and the laws (or first principles) are
still under development.
• New approaches to ecological modeling are required!

Qualitative
Reasoning
6 of 41
Qualitative Reasoning (QR)
It is an area of artificial intelligence that creates
representations for continuous aspects of the world to
support reasoning with little information

The use of QR models can contribute to clarify many aspects
and to improve the understanding of causal reasoning chains
involving environmental factors and changes in populations

and communities.
Salles & Bredeweg (2006)
7 of 41
Qualitative Ecological Models
Are promising because
• Allow to build and run simulations with incomplete knowledge;
• Allow to create a rich vocabulary about a variety of systems;
• Explicit representation of causality which gives support to
explanation of systems from its structure;

• Contribute to improve comprehension about complex systems
and fosters the decision making process.
Advantages over numerical models

• Inaccurate prediction, but CORRECT
• Easy exploitation of alternatives
• Automatic interpretation

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Qualitative Reasoning

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Semantic Web
Ecology

QR

• DataOne
• OBOE
• JournalMap
• Domain Ontologys

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What all savannas have in common?
“Savanna occurs over a vast range of conditions that have little in
common except for their inability to support rapid tree growth.”
(Hoffman et al., 2012)

Source: Challenges and opportunities in remote sensing of global savannas. Colorado State University.
Available in: http://www.nrel.colostate.edu/projects/srs/

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2 main reasons why do I care about Cerrado
1. Ecological Theory
• Stability

Biodiversity

• Equilibrium x Non-equilibrium

2. Conservation Biology

Hotspot

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Unstable

Disturbance-driven savannas
Disturbances such as fire, grazing and
browsing are required to maintaing
both trees and grasses in the system

Disturbances such as fire and
herbivore, although capable to modify
tree to grass ratios, are not necessary
for coexistence

Stable

Climatically determined savannas

Sankaran et al. (2005)
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About 50% of Cerrado is Deforested
Total Area: 2.047.146,35 Km2
Cerrado vegetation type (%) IBGE (2004)

Savanna
61%

Forest
32%

Cerrado cover type (%) IBGE (2004)

Natural
51%

Grassland
7%

Deforested
48%

Water
1%

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Cerrado + Poor acid, aluminum toxicity soils + State-of-the-Art Technology + Farmers =

Remaining areas
Deforested area accumulated until 2008

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Amount of soybean production (ton) in 2005 per municipality

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Cerrado vegetation characteristics
Panoramic view

Physiognomies

OM and Soil Fertility %

General Structure of Cerrado

Plants height

Cover %

Aerial view

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Research question

How to use the GeoLinked data approach to
integrate datasets along with qualitative reasoning

ecological models, in order to improve the
understanding of ecological mechanisms and

facilitate access and management of environmental
information?

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Exploring hypothesis

The use of qualitative conceptual simulation
models, associated to data sources made available

by geolinked data semantic techniques, can
improve the interpretative and predictive capacity

over the data available about the dynamics of
Cerrado vegetation.

21 of 41
Qualitative
Model
Repository
Export

Recover

Geosparql

Qualitative Model
OWL format

QR
Ontology

Ad-hoc
application

GeoLinkedData
Browser
(map4RDF)

Data and Metadata
(RDF)

Cerrado
Ontology

Recover

OBOE
Vegetation
Dynamics

Data
repository

Fire
Ontology

Meteor.
Ontology

Data
cube

Fire and
Meteorological
Data (INPE)
22 of 41
Study A
Species: Ouratea hexasperma
Density: 73
Fire frequency: Fire Protected
+
geographical information
meteorological data
agriculture
owl:sameAs
owl:sameAs

GeoLinked data to retrieve appropriate models

Simulation

owl:sameAs
Study B
Species: Ouratea hexasperma
Density: 83
Fire frequency: Low
+
geographical information
meteorological data
agriculture
23 of 41
Methodological aspects: the Life Cycle Model
Specification
Exploitation

Modeling

Publication

RDF generation
Links
Generation

Iterative incremental life cycle

24 of 41
Specification
• Ontology Requirements Specification Document
Ontology Requirements Specification Document
1 Purpose
The purpose of the Cerrado ontology network is to represent the scientific knowledge about the ecology and dynamics of
Cerrado plants, it should express how the structure of the plant communities in Cerrado is and how they change over time.
2 Scope
Because of the complexity and extend of the domain, the scope of the ontologies will focus to cover the following subdomains:
plant community dynamics and fire.
3 Implementation Language
The Ontologies will be developed using the Web Ontology Language OWL, once it is part of the W3C recommendation for the
Semantic Web.
4 Intended End-Users
1.
Researchers and scientists seeking to understand the functioning of savannah plant community.
2.
Environment managers of conservation units and those responsible for making the public policies for environment and
biodiversity conservation.
3.
Ecological and environmental information and data about Brazilian Cerrado users.
5 Intended Uses
1.
To store data and provide information about diversity, composition and dynamics of Cerrado wood plants.
2.
To propose a standard and management practice of the data available about the Cerrado vegetation.
3.
To propose a service in which the user can search for species, its location and assess the changes in populations over time.
6 Ontology Requirements
a. Non-Functional Requirements
NFR1: The ontology network must give support to a multilingual scenario for Portuguese and English.
b. Functional Requirements: Groups of Competency Questions
For the functional requirements it was used the competency questions technique (Gruninger and Fox, 1994) recommended by
NeOn methodology.

25 of 41
Specification
• Competency Questions
# Competency Questions for CCOn
1 What is a biome?
2 What is a savanna?
3 What characterizes a savanna?
4 What are the determining factors of savannas?
5 What is Cerrado?
6 What characterizes the Cerrado?
7 What is a population?
8 What is population growth?
9 Which processes determine the size of a population?
10 What is mortality?
11 What is natality?
12 What is an ecological community?
13 What are the types of ecological communities?
14 What is biodiversity?
15 What is the species richness of a community?
16 What factors determine the species richness of a community?
17 What is a plant community?
18 What are the types of plant communities?
19 What are wood plants?
20 What are herbaceous plants?
What are the main measurements of biological diversity of a community
21
or ecosystem?

# Competency Questions for Fire Ontology
65 Where does occur the wildfires in Cerrado?
66 How often Cerrado vegetation burns?
67 In what period of the year does wildfires occur in Cerrado?
68 What is wildfire?
69 Where are located the places with similar temperature range?
Where are located the places with maximum temperature in a
70
certain time?
71 What are the types of wildfires?
72 What is the severity of each burn event in Cerrado?
73 What is the temperature of a location in a given time?
74 What is the relative humidity of a location in a given time?
75 What causes a burn event?
76 What are the effects of a burn event?

26 of 41
Modeling: ontologies reused
Reusability

Usability

CCOn
Environmental
Ontology (EnvO)
Crop-Wild Relations FAO
(CWR)
Simple Knowledge Organization
System (SKOS)

Fire
Ontology
Environmental Ontology
(EnvO)

Extensible Observational Ontology
(OBOE)

27 of 41
Reused x New Terms
Table 2. Reused Classes
Number of terms
Resource
CCOn
Fire Ontology
OBOE
0
2
ENVo
3
1
CWR
24
0

Table 3. Reused Properties
Property

Origen

Reused in

exactMatch

SKOS

CCOn

mappingRelation

SKOS

CCOn

Table 4. New terms
Ontology
N of classes N of properties N of individuals
CCOn
58
21
137
Fire Ontology
49
17
9
Total
107
38
146

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CCOn

29 of 41
CCOn

30 of 41
Fire Ontology

31 of 41
Fire Ontology

32 of 41
Use case example
Dataset A
Study area
Fragment
First inventory
Last inventory

Domain specific ontologies

OBOE
Gerais de Balsas Colonization
Project, Maranhão, Brazil
1
2
1995
1995
2002
2002

Fire
Mean Annual
Mortality rate
Mean Annual
Recruitment rate

Biennial

Is a

Community dynamics

Measurement

Is characterized by

Biennial

2.73

Of-Characteristic

Recruitment rate

4.88

3.25

5.86

Cerrado sensu stricto
has-measurement
Is part of

Observation

ofEntity

Dataset B
Location

Tree

Jatobá Biological
Reserve, Bahia,
Brazil
2004

Observation
ofEntity

Fire

1991

Last inventory
Mortality rate
Recruitment
rate

Wood plant

affects

First inventory
Fire

Is-a

hasCharacteristic

has-measurement

Protected
1.93
3.72

Fire Characteristic

Measurement
Of-Characteristic

Is-a

Fire frequency
33 of 41
Ontology Evaluation
• Consistency:
• Pellet reasoner

• Pitfalls (OntolOgical Pitfalls Scanner - OOPS)
• Conceptual Evaluation (experts)

34 of 41
Ontology evaluation: Pitfalls
100

Table 3. Ontology Pitfalls found in Fire Ontology

70
Critical
Important
60
Minor
Usability-profiling
Structural
50
Functional

90
80

Version

P02

P04

P05

P07

P08

P10

P11

P13

P22

P29

P38

Total

70

0.3

2

11

0

0

54

ONT

7

7

ONT

0

-

81

60

0.4

0

1

1

0

49

ONT

0

4

ONT

2

-

57

50

0.5

0

1

0

0

53

0

0

2

ONT

0

-

56

40

0.6

0

0

0

0

51

0

0

0

ONT

0

-

51

30

0.7

0

0

0

1

24

0

5

0

0

0

ONT

30

20

0.8

0

0

0

1

24

0

0

0

0

0

ONT

25

10

40
30
20
10

0

0

0.3

Table 4. Ontology Pitfalls found in Ccon Ontology

0.4

0.5

0.6

0.7

0.8

100

Version

P04

P05

P08

P11

P13

P22

P31

P35

P38

Total

0.8.1

2

0

83

8

8

ONT

-

-

-

101

0.8.2

1

1

83

6

8

ONT

-

-

-

0

0

88

2

0

ONT

-

-

-

90

0.9.1

0

0

24

2

0

ONT

1

1

ONT

28

0.9.2

0

0

24

0

0

ONT

1

1

ONT

26

80

80

60

60

40

40

20

20

0

0

99

0.9.0

100

0.8.1

0.8.2

0.9.0

0.9.1

0.9.2

35 of 41
Expert Evaluation
• 2 Questionnaires were elaborated (G forms)
• Quality
• Completeness
• Correctness

• Likert scale and Open Questions

Support
material
Evaluation

On line
documentation

Bioportal
visualization
Competency
questions

Fire Ontology
Questionnaire
Expert Answers

Questionnairies

CCOn
Questionnaire

36 of 41
What is next
RDF generation

geometry2RDF
Google Refine

Links
Generation

owl:sameAs

Publication

Virtuoso, Pubby

Exploitation

Map4RDF

SILK

37 of 41
Data Sources for RDF generation
Data sources for vegetation dynamics on scientific literature:
• Souza, A. (2010). Estrutura e Dinâmica da Vegetação Lenhosa de Cerrado sensu stricto no período de 19 anos, na Reserva Ecológica do
IBGE , Distrito Federal , Brasil. 68p. Dissertação de mestrado. Departamento de Ecologia. Universidade de Brasília.
• Roitman, I.; Felfili, J.M.; Rezende, A.V. (2008). Tree dynamics of a fire-protected cerrado sensu stricto surrounded by forest plantations,
over a 13-years period (1991-2004) in Bahia, Brazil. Plant Ecology. 197: 255-267.
• Moreira, A.G. (1992). Fire protection and vegetation dynamics in the Brazilian Cerrado. Ph.D. thesis, Harvard University, Cambridge, MA,
U.S.A.
• Aquino, F. D. G., Walter, B. M. T., & Ribeiro, J. F. (2007). Woody community dynamics in two fragments of “cerrado” stricto sensu over a
seven-year period (1995-2002), MA, Brazil. Revista Brasileira de Botânica, 30(1), 113–121.
• Libano, A. M., & Felfili, J. M. (2006). Mudanças temporais na composição florística e na diversidade de um cerrado sensu stricto do Brasil
Central em um período de 18 anos (1985-2003). Acta Botanica Brasilica, 20(4), 927–936.

Meteorological
Data Source

Fire
Occurrence
and risk

INMET

INPE

Maps and
environmental
data

IBGE

CSR
IBAMA
MMA

LAPIG
38 of 41
Outlook
• This work presents a plan for a pilot study to be a test.
• It involves linked geographical, meteorological, ecological and

environmental open data provided by Brazilian government
agencies.
• A methodology based in a Geolinked data approach is adopted
to create a case study aiming investigate the application of
linked data principles to ecology.

39 of 41
Outlook
• A relevant question to be investigated in this preliminary pilot
study is how to integrate qualitative reasoning models along
with maps and other data, be able to reason with the data and
make inferences and finally to show the results.
• The topics addressed in this work have potential to boost both

applications of geolinked data technologies to new areas, and
to open new perspectives for research involving ecological data
management, integration and use.

40 of 41
Thank you!

41 of 41

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Brazilian Cerrado geolinked data and qualitative models

  • 1. Brazilian Cerrado ontology network and qualitative models: a case study application of geolinked data approach to Ecology Adriano Souza University of Brasilia, Brazil 2013
  • 2. This presentation • Introduction • Background and state of the art • Research question • Hypothesis • The proposal • Work in progress • What is next… 2 of 41
  • 3. Ecoinformatics A field of research and development focused on the interface between ecology, computer science, and information technology. “Ecologists have recognized the need for integrated data systems to support cross-disciplinary collaboration to understand the basic ecological principles that govern the biosphere.” Green et al. (2005) 3 of 41
  • 4. AI Technologies can be useful to theoretical development in Ecology: • To organize knowledge bases compatible with computers, including qualitative and quantitative knowledge; • To perform fast assessment of assumptions, hypotheses and other ideas in a theoretical context; • To determine the consequences and the logical consistency of long and complex paths of ecological reasoning. Maybe the most immediate impact of AI Technologies will be on the way ecologists organize, develop and implement models. Rykiel (1989) 4 of 41
  • 5. Why models are necessary? • To build and use models contribute to… • Understand the structure of systems; • Predict the behavior of systems; • Control variables in order to obtain specific results. • They are used in: • Scientific research; • Decision making and management; • Education and training. 5 of 41
  • 6. Ecological models To build ecological models is a complex task because... 1. Ecological models are heterogeneous, including both qualitative and quantitative knowledge; 2.It is hard to collect data and perform experiments; 3.The available data is incomplete, inaccurate, uncertain and many times expressed in qualitative terms; 4.The theoretical foundations and the laws (or first principles) are still under development. • New approaches to ecological modeling are required! Qualitative Reasoning 6 of 41
  • 7. Qualitative Reasoning (QR) It is an area of artificial intelligence that creates representations for continuous aspects of the world to support reasoning with little information The use of QR models can contribute to clarify many aspects and to improve the understanding of causal reasoning chains involving environmental factors and changes in populations and communities. Salles & Bredeweg (2006) 7 of 41
  • 8. Qualitative Ecological Models Are promising because • Allow to build and run simulations with incomplete knowledge; • Allow to create a rich vocabulary about a variety of systems; • Explicit representation of causality which gives support to explanation of systems from its structure; • Contribute to improve comprehension about complex systems and fosters the decision making process. Advantages over numerical models • Inaccurate prediction, but CORRECT • Easy exploitation of alternatives • Automatic interpretation 8 of 41
  • 10. Semantic Web Ecology QR • DataOne • OBOE • JournalMap • Domain Ontologys 10 of 41
  • 13. What all savannas have in common? “Savanna occurs over a vast range of conditions that have little in common except for their inability to support rapid tree growth.” (Hoffman et al., 2012) Source: Challenges and opportunities in remote sensing of global savannas. Colorado State University. Available in: http://www.nrel.colostate.edu/projects/srs/ 13 of 41
  • 14. 2 main reasons why do I care about Cerrado 1. Ecological Theory • Stability Biodiversity • Equilibrium x Non-equilibrium 2. Conservation Biology Hotspot 14 of 41
  • 15. Unstable Disturbance-driven savannas Disturbances such as fire, grazing and browsing are required to maintaing both trees and grasses in the system Disturbances such as fire and herbivore, although capable to modify tree to grass ratios, are not necessary for coexistence Stable Climatically determined savannas Sankaran et al. (2005) 15 of 41
  • 16. About 50% of Cerrado is Deforested Total Area: 2.047.146,35 Km2 Cerrado vegetation type (%) IBGE (2004) Savanna 61% Forest 32% Cerrado cover type (%) IBGE (2004) Natural 51% Grassland 7% Deforested 48% Water 1% 16 of 41
  • 17. Cerrado + Poor acid, aluminum toxicity soils + State-of-the-Art Technology + Farmers = Remaining areas Deforested area accumulated until 2008 17 of 41
  • 18. Amount of soybean production (ton) in 2005 per municipality 18 of 41
  • 19. Cerrado vegetation characteristics Panoramic view Physiognomies OM and Soil Fertility % General Structure of Cerrado Plants height Cover % Aerial view 19 of 41
  • 20. Research question How to use the GeoLinked data approach to integrate datasets along with qualitative reasoning ecological models, in order to improve the understanding of ecological mechanisms and facilitate access and management of environmental information? 20 of 41
  • 21. Exploring hypothesis The use of qualitative conceptual simulation models, associated to data sources made available by geolinked data semantic techniques, can improve the interpretative and predictive capacity over the data available about the dynamics of Cerrado vegetation. 21 of 41
  • 22. Qualitative Model Repository Export Recover Geosparql Qualitative Model OWL format QR Ontology Ad-hoc application GeoLinkedData Browser (map4RDF) Data and Metadata (RDF) Cerrado Ontology Recover OBOE Vegetation Dynamics Data repository Fire Ontology Meteor. Ontology Data cube Fire and Meteorological Data (INPE) 22 of 41
  • 23. Study A Species: Ouratea hexasperma Density: 73 Fire frequency: Fire Protected + geographical information meteorological data agriculture owl:sameAs owl:sameAs GeoLinked data to retrieve appropriate models Simulation owl:sameAs Study B Species: Ouratea hexasperma Density: 83 Fire frequency: Low + geographical information meteorological data agriculture 23 of 41
  • 24. Methodological aspects: the Life Cycle Model Specification Exploitation Modeling Publication RDF generation Links Generation Iterative incremental life cycle 24 of 41
  • 25. Specification • Ontology Requirements Specification Document Ontology Requirements Specification Document 1 Purpose The purpose of the Cerrado ontology network is to represent the scientific knowledge about the ecology and dynamics of Cerrado plants, it should express how the structure of the plant communities in Cerrado is and how they change over time. 2 Scope Because of the complexity and extend of the domain, the scope of the ontologies will focus to cover the following subdomains: plant community dynamics and fire. 3 Implementation Language The Ontologies will be developed using the Web Ontology Language OWL, once it is part of the W3C recommendation for the Semantic Web. 4 Intended End-Users 1. Researchers and scientists seeking to understand the functioning of savannah plant community. 2. Environment managers of conservation units and those responsible for making the public policies for environment and biodiversity conservation. 3. Ecological and environmental information and data about Brazilian Cerrado users. 5 Intended Uses 1. To store data and provide information about diversity, composition and dynamics of Cerrado wood plants. 2. To propose a standard and management practice of the data available about the Cerrado vegetation. 3. To propose a service in which the user can search for species, its location and assess the changes in populations over time. 6 Ontology Requirements a. Non-Functional Requirements NFR1: The ontology network must give support to a multilingual scenario for Portuguese and English. b. Functional Requirements: Groups of Competency Questions For the functional requirements it was used the competency questions technique (Gruninger and Fox, 1994) recommended by NeOn methodology. 25 of 41
  • 26. Specification • Competency Questions # Competency Questions for CCOn 1 What is a biome? 2 What is a savanna? 3 What characterizes a savanna? 4 What are the determining factors of savannas? 5 What is Cerrado? 6 What characterizes the Cerrado? 7 What is a population? 8 What is population growth? 9 Which processes determine the size of a population? 10 What is mortality? 11 What is natality? 12 What is an ecological community? 13 What are the types of ecological communities? 14 What is biodiversity? 15 What is the species richness of a community? 16 What factors determine the species richness of a community? 17 What is a plant community? 18 What are the types of plant communities? 19 What are wood plants? 20 What are herbaceous plants? What are the main measurements of biological diversity of a community 21 or ecosystem? # Competency Questions for Fire Ontology 65 Where does occur the wildfires in Cerrado? 66 How often Cerrado vegetation burns? 67 In what period of the year does wildfires occur in Cerrado? 68 What is wildfire? 69 Where are located the places with similar temperature range? Where are located the places with maximum temperature in a 70 certain time? 71 What are the types of wildfires? 72 What is the severity of each burn event in Cerrado? 73 What is the temperature of a location in a given time? 74 What is the relative humidity of a location in a given time? 75 What causes a burn event? 76 What are the effects of a burn event? 26 of 41
  • 27. Modeling: ontologies reused Reusability Usability CCOn Environmental Ontology (EnvO) Crop-Wild Relations FAO (CWR) Simple Knowledge Organization System (SKOS) Fire Ontology Environmental Ontology (EnvO) Extensible Observational Ontology (OBOE) 27 of 41
  • 28. Reused x New Terms Table 2. Reused Classes Number of terms Resource CCOn Fire Ontology OBOE 0 2 ENVo 3 1 CWR 24 0 Table 3. Reused Properties Property Origen Reused in exactMatch SKOS CCOn mappingRelation SKOS CCOn Table 4. New terms Ontology N of classes N of properties N of individuals CCOn 58 21 137 Fire Ontology 49 17 9 Total 107 38 146 28 of 41
  • 33. Use case example Dataset A Study area Fragment First inventory Last inventory Domain specific ontologies OBOE Gerais de Balsas Colonization Project, Maranhão, Brazil 1 2 1995 1995 2002 2002 Fire Mean Annual Mortality rate Mean Annual Recruitment rate Biennial Is a Community dynamics Measurement Is characterized by Biennial 2.73 Of-Characteristic Recruitment rate 4.88 3.25 5.86 Cerrado sensu stricto has-measurement Is part of Observation ofEntity Dataset B Location Tree Jatobá Biological Reserve, Bahia, Brazil 2004 Observation ofEntity Fire 1991 Last inventory Mortality rate Recruitment rate Wood plant affects First inventory Fire Is-a hasCharacteristic has-measurement Protected 1.93 3.72 Fire Characteristic Measurement Of-Characteristic Is-a Fire frequency 33 of 41
  • 34. Ontology Evaluation • Consistency: • Pellet reasoner • Pitfalls (OntolOgical Pitfalls Scanner - OOPS) • Conceptual Evaluation (experts) 34 of 41
  • 35. Ontology evaluation: Pitfalls 100 Table 3. Ontology Pitfalls found in Fire Ontology 70 Critical Important 60 Minor Usability-profiling Structural 50 Functional 90 80 Version P02 P04 P05 P07 P08 P10 P11 P13 P22 P29 P38 Total 70 0.3 2 11 0 0 54 ONT 7 7 ONT 0 - 81 60 0.4 0 1 1 0 49 ONT 0 4 ONT 2 - 57 50 0.5 0 1 0 0 53 0 0 2 ONT 0 - 56 40 0.6 0 0 0 0 51 0 0 0 ONT 0 - 51 30 0.7 0 0 0 1 24 0 5 0 0 0 ONT 30 20 0.8 0 0 0 1 24 0 0 0 0 0 ONT 25 10 40 30 20 10 0 0 0.3 Table 4. Ontology Pitfalls found in Ccon Ontology 0.4 0.5 0.6 0.7 0.8 100 Version P04 P05 P08 P11 P13 P22 P31 P35 P38 Total 0.8.1 2 0 83 8 8 ONT - - - 101 0.8.2 1 1 83 6 8 ONT - - - 0 0 88 2 0 ONT - - - 90 0.9.1 0 0 24 2 0 ONT 1 1 ONT 28 0.9.2 0 0 24 0 0 ONT 1 1 ONT 26 80 80 60 60 40 40 20 20 0 0 99 0.9.0 100 0.8.1 0.8.2 0.9.0 0.9.1 0.9.2 35 of 41
  • 36. Expert Evaluation • 2 Questionnaires were elaborated (G forms) • Quality • Completeness • Correctness • Likert scale and Open Questions Support material Evaluation On line documentation Bioportal visualization Competency questions Fire Ontology Questionnaire Expert Answers Questionnairies CCOn Questionnaire 36 of 41
  • 37. What is next RDF generation geometry2RDF Google Refine Links Generation owl:sameAs Publication Virtuoso, Pubby Exploitation Map4RDF SILK 37 of 41
  • 38. Data Sources for RDF generation Data sources for vegetation dynamics on scientific literature: • Souza, A. (2010). Estrutura e Dinâmica da Vegetação Lenhosa de Cerrado sensu stricto no período de 19 anos, na Reserva Ecológica do IBGE , Distrito Federal , Brasil. 68p. Dissertação de mestrado. Departamento de Ecologia. Universidade de Brasília. • Roitman, I.; Felfili, J.M.; Rezende, A.V. (2008). Tree dynamics of a fire-protected cerrado sensu stricto surrounded by forest plantations, over a 13-years period (1991-2004) in Bahia, Brazil. Plant Ecology. 197: 255-267. • Moreira, A.G. (1992). Fire protection and vegetation dynamics in the Brazilian Cerrado. Ph.D. thesis, Harvard University, Cambridge, MA, U.S.A. • Aquino, F. D. G., Walter, B. M. T., & Ribeiro, J. F. (2007). Woody community dynamics in two fragments of “cerrado” stricto sensu over a seven-year period (1995-2002), MA, Brazil. Revista Brasileira de Botânica, 30(1), 113–121. • Libano, A. M., & Felfili, J. M. (2006). Mudanças temporais na composição florística e na diversidade de um cerrado sensu stricto do Brasil Central em um período de 18 anos (1985-2003). Acta Botanica Brasilica, 20(4), 927–936. Meteorological Data Source Fire Occurrence and risk INMET INPE Maps and environmental data IBGE CSR IBAMA MMA LAPIG 38 of 41
  • 39. Outlook • This work presents a plan for a pilot study to be a test. • It involves linked geographical, meteorological, ecological and environmental open data provided by Brazilian government agencies. • A methodology based in a Geolinked data approach is adopted to create a case study aiming investigate the application of linked data principles to ecology. 39 of 41
  • 40. Outlook • A relevant question to be investigated in this preliminary pilot study is how to integrate qualitative reasoning models along with maps and other data, be able to reason with the data and make inferences and finally to show the results. • The topics addressed in this work have potential to boost both applications of geolinked data technologies to new areas, and to open new perspectives for research involving ecological data management, integration and use. 40 of 41