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ALTER-Net Data Ontology

ALTER-Net Data Ontology. An Object Oriented Approach to Ecological and Biodiversity Data Networking Kathi Schleidt Herbert Schentz. START. Overview. ALTER-Net Data vs. Metadata Navigation Hierarchies Data Unit Selection Description. ALTER-Net.

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ALTER-Net Data Ontology

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  1. ALTER-Net Data Ontology An Object Oriented Approach to Ecological and Biodiversity Data Networking Kathi Schleidt Herbert Schentz START

  2. Overview • ALTER-Net • Data vs. Metadata • Navigation Hierarchies • Data Unit • Selection Description

  3. ALTER-Net • “Network of Excellence” funded by the EU’s 6th Framework Programme. • Partnership of 24 organisations from 17 European countries • Create a European long-term inter-disciplinary research facility for research on the complex relationship between ecosystems, biodiversity and society. • It will provide research support for ... a stable facility for information retrieval and reporting on biodiversity-related issues. • WP I6: Development of a framework for a distributed data, information and knowledge management system

  4. First we had to think and discuss ...

  5. ... push ideas around ...

  6. ... and wave our hands

  7. Data vs. Metadata • What is data and what is metadata is a matter of point of view • One man’s metadata • is • another man’s data • And vice versa

  8. Hierarchies for (Meta-)Data Navigation • Runs across derivation hierarchy • Divide concepts into sub-concepts • Link different types of classes • Poly-hierarchy allows multiple ways of access to a specific concept • Spatial or thematic groupings

  9. Upper Relation • Basic relation for defining hierarchies • Object can have multiple relations of type upper • Object is in different categories • Makes for easier navigation • Object can have upper of different type • A Site could have a country as an Upper • Multiple parameters of a similar chemical type may be grouped

  10. Parameters Institute Country upper upper upper upper upper upper upper upper upper upper upper Physical Chemical District Department Height pH Site Professor Plot Assistant Tree Examples for Upper Relation

  11. Parameters Institute Country upper upper upper upper upper upper upper upper upper upper upper Physical Chemical District Department Height pH Site Professor Plot Assistant Tree Adding „Data“ what who where 7.69

  12. Parameters Institute Country upper upper upper upper upper upper upper upper upper upper upper Physical Chemical District Department Height pH Site Professor Plot Assistant Tree Time Series Problem ??? 7.69 7.14 6.83

  13. Parameters Institute Country upper upper upper upper upper upper upper upper upper upper upper Physical Chemical District Department Height pH Site Professor Plot Assistant Tree Time Series Solution: DataUnit what DU who where value 7.69 7.14 6.83

  14. 7.69 7.14 6.83 DataUnit Height what Tree where who Assistant DU value

  15. 7.69 7.14 6.83 DataUnit – Further Relations Height what Tree where who Assistant DU value Unit

  16. 7.69 7.14 6.83 DataUnit – Further Relations Height what Tree where who Assistant DU value unit m

  17. 7.69 7.14 6.83 DataUnit – Further Relations Height How what Tree where who Assistant DU value unit m

  18. 7.69 7.14 6.83 DataUnit – Further Relations Height what Tree determinedBy where who Assistant DU Triangulation Method value unit m

  19. Methods Triangulation Method

  20. Methods Triangulation Method What Steps

  21. Methods Triangulation Method encompassingMethod encompassing Method encompassingMethod Determine distance to tree predecessor Measure angle predecessor Calculate height

  22. 34% 32% 29% DataUnit – Further Relations Abundance what Plot where who Assistant DU value unit trees/trees

  23. 34% 32% 29% DataUnit – Further Relations Abundance what Plot where who Assistant DU value unit Of What trees/trees

  24. 34% 32% 29% DataUnit – Further Relations Abundance what Plot where who Assistant DU value unit ofSpecies trees/trees Pinus sylvestris

  25. Example - Water Sample Point: Depth Depth what WaterSamplePoint where DU value 2.5 unit m

  26. 185 173 196 Example – Water Sample Point: Coli Number Coli# what WaterSamplePoint where DU value unit count

  27. green yellow brown Example - Needle Color Color determinedBy what SwatchComparison Needles where usingList DU NeedleColorList value ofList ofList ofList

  28. Example - SoilLayer: Soil Horizon Horizon determinedBy what ExpertDecision SoilLayerX where usingList DU SoilHorizonList value ofList ofList ofList Horizon1 Horizon2 Horizon3

  29. 185 173 196 Example – SoilLayer: Concentration CaCO3 Concentration what SoilLayerX where DU value ofWhat unit CaCO3 mg/ml

  30. 15% 17% 18% Example - SoilLayer: Fraction Sand Fraction what SoilLayerX where DU value ofWhat unit Sand kg/kg

  31. With Method Tree MicroOrgSampling encompMeth encompasingMeth enMeth enMeth WaterSamp FilterWater MeasureConc AnalyseInMicro pred pred pred encompMeth encompMeth enMeth CountMicroOrg DetermineSpecies DetSpeciesAbund pred pred

  32. Example - DataUnit Volume Filtered Volume filtered what determinedBy Lake 1 where Volume Filtered Lake1 value FilterWater 6 unit l

  33. Example: DataUnit Organism Count Organism Count what determinedBy Lake 1 where Organism Count Lake1 value CountMicroOrg 173 unit count

  34. MicroOrgSampling WaterSamp FilterWater MeasureConc AnalyseInMicro encompMeth encompasingMeth enMeth enMeth pred pred pred CountMicroOrg DetermineSpecies DetSpeciesAbund encompMeth encompMeth enMeth pred pred With Method Tree Volume filtered what where Volume Filtered Lake1 Lake 1 value unit 6 l Organism Count what where Organism Count Lake1 Lake 1 value 173 unit count

  35. Parameters Institute Country upper upper upper upper upper upper upper upper upper upper upper Physical Chemical District Department Height pH Site Professor Plot Assistant Tree Selection Description what DU who where value 7.69 7.14 6.83

  36. Country upper upper upper upper District Site Plot Tree Selection Description How Selected

  37. upper Selection Description Site How Selected Plot Plot Plot

  38. upper Selection Description Site selectedFrom SelectionDescription Plot selected Plot Plot

  39. upper Selection DescriptionselectionParameter • Basis of selection • No canopy • Vegetation Type Site selectedFrom SelectionDescription Plot selected Plot Plot

  40. upper Selection DescriptionselectionParameter Site selectedFrom SelectionDescription Plot selected Plot selectionParameter Plot selectionParameter NoCanopy VegType1

  41. upper Selection DescriptionselectionType Site selectedFrom Random versus Nonrandom SelectionDescription Plot selected Plot selectionParameter Plot selectionParameter NoCanopy VegType1

  42. upper Selection DescriptionselectionType Site selectedFrom SelectionDescription Plot selected Plot selectionParameter Plot selectionType selectionParameter NoCanopy Nonrandom VegType1

  43. upper Selection DescriptionselectionCriteria • Criteria leading to nonrandom • Easy reachability • Distance to trees (shade) Site selectedFrom SelectionDescription Plot selected Plot selectionParameter Plot selectionType selectionParameter NoCanopy Nonrandom VegType1

  44. upper Selection DescriptionselectionCriteria Site selectedFrom SelectionDescription Plot selected Plot selectionParameter Plot selectionCriteria selectionType selectionParameter NoCanopy Nonrandom EasyReachability VegType1

  45. upper Selection DescriptionnumberPlanned Number planned versus Actual number Site selectedFrom SelectionDescription Plot selected Plot selectionParameter Plot selectionCriteria selectionType selectionParameter NoCanopy Nonrandom EasyReachability VegType1

  46. upper Selection DescriptionnumberPlanned 4 numberPlanned Site selectedFrom SelectionDescription Plot selected Plot selectionParameter Plot selectionCriteria selectionType selectionParameter NoCanopy Nonrandom EasyReachability VegType1

  47. upper Selection Descriptiondeviation 4 Deviation from selection plan numberPlanned Site selectedFrom SelectionDescription Plot selected Plot selectionParameter Plot selectionCriteria selectionType selectionParameter NoCanopy Nonrandom EasyReachability VegType1

  48. upper Selection Descriptiondeviation Time 4 numberPlanned deviation Site selectedFrom SelectionDescription Plot selected Plot selectionParameter Plot selectionCriteria selectionType selectionParameter NoCanopy Nonrandom EasyReachability VegType1

  49. upper Selection DescriptionscientificQuestion Time 4 numberPlanned deviation Site selectedFrom Scientific question to be answered SelectionDescription Plot selected Plot selectionParameter Plot selectionCriteria selectionType selectionParameter NoCanopy Nonrandom EasyReachability VegType1

  50. upper Selection DescriptionscientificQuestion Time 4 numberPlanned deviation Site selectedFrom BiodiversityofInvertebrates scientificQuestion SelectionDescription Plot selected Plot selectionParameter Plot selectionCriteria selectionType selectionParameter NoCanopy Nonrandom EasyReachability VegType1

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