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WSL, Z\\u00fcrcherstrasse 111, CH-8903 Birmensdorf, Switzerland\", 
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WSL, Z\\u00fcrcherstrasse 111, CH-8903 Birmensdorf, Switzerland\", 
            
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WSL, Z\u00fcrcherstrasse 111, CH-8903 Birmensdorf, Switzerland\", 
            
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  "name": "icbo2020",
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  "name": "icbo2020",
            
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  "notes": "Ontologies used for the case study in the 
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  "notes": "Ontologies used for the case study in the 
            
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publication.\r\nCreative Commons (CC) license: CC BY-NC-SA 
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publication.\r\nCreative Commons (CC) license: CC BY-NC-SA 
            
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<https://creativecommons.org/licenses/by-nc-sa/3.0/>",
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<https://creativecommons.org/licenses/by-nc-sa/3.0/>",
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2016-08-08T20:30:16.444200",
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    "created": "2016-08-08T20:30:16.444200",
            
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    "description": "The availability of consistent and comprehensible 
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    "description": "The availability of consistent and comprehensible 
            
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spatial data is fundamental for scientific research, in particular in 
38
spatial data is fundamental for scientific research, in particular in 
            
39
the context of long term observation series. An adequate documentation 
39
the context of long term observation series. An adequate documentation 
            
40
of the data quality and its history finally enables users to work 
40
of the data quality and its history finally enables users to work 
            
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responsibly with these data.\r\n\r\nAs the research community gets 
41
responsibly with these data.\r\n\r\nAs the research community gets 
            
42
closer and the sharing of data becomes more common and important a 
42
closer and the sharing of data becomes more common and important a 
            
43
simple and intuitive access to these environmental data is a key 
43
simple and intuitive access to these environmental data is a key 
            
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factor in large projects. Methods of spatial information analysis 
44
factor in large projects. Methods of spatial information analysis 
            
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allow to build and link complex process models of different scientific 
45
allow to build and link complex process models of different scientific 
            
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fields.\r\n\r\n###Tasks and main research\r\n\r\n* Developing 
46
fields.\r\n\r\n###Tasks and main research\r\n\r\n* Developing 
            
47
innovative methods to store the history, quality and accuracy of 
47
innovative methods to store the history, quality and accuracy of 
            
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spatial & temporal data (event oriented spatial databases), developing 
48
spatial & temporal data (event oriented spatial databases), developing 
            
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and implementing a method database, particularly in the context of the 
49
and implementing a method database, particularly in the context of the 
            
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projects National Forest Inventory NFI and Datacenter Nature and 
50
projects National Forest Inventory NFI and Datacenter Nature and 
            
51
Landscape DNL\r\n* Analysing spatial and temporal data and modelling 
51
Landscape DNL\r\n* Analysing spatial and temporal data and modelling 
            
52
natural phenomena and processes\r\n* Developing algorithms for open 
52
natural phenomena and processes\r\n* Developing algorithms for open 
            
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and intuitive search in geo-databases (e.g. ontologies)\r\n* 
53
and intuitive search in geo-databases (e.g. ontologies)\r\n* 
            
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Developing and implementing concepts to provide spatially distributed 
54
Developing and implementing concepts to provide spatially distributed 
            
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geographic information (virtual database)\r\n* Developing methods to 
55
geographic information (virtual database)\r\n* Developing methods to 
            
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handle the uncertainties and inaccuracies (due to measurement and 
56
handle the uncertainties and inaccuracies (due to measurement and 
            
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spatial resolution) of spatial data when used in models\r\n* 
57
spatial resolution) of spatial data when used in models\r\n* 
            
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Maintaining and advancing the NFI-database and the Datacenter Nature 
58
Maintaining and advancing the NFI-database and the Datacenter Nature 
            
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and Landscape (DNL), developing software for the NFI and DNL\r\n* 
59
and Landscape (DNL), developing software for the NFI and DNL\r\n* 
            
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Maintaining and advancing the Geographical Information System of the 
60
Maintaining and advancing the Geographical Information System of the 
            
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WSL\r\n* Knowledge transfer at university level, mainly through 
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WSL\r\n* Knowledge transfer at university level, mainly through 
            
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teaching positions, support and supervision of Master- and PhD-theses 
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teaching positions, support and supervision of Master- and PhD-theses 
            
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in the main topics of the GIS-Group\r\n\r\n__Further information__: 
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in the main topics of the GIS-Group\r\n\r\n__Further information__: 
            
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organization/research-units/forest-resources-and-management/gis.html",
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organization/research-units/forest-resources-and-management/gis.html",
            
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  "publication": "{\"publication_year\": \"2020\", \"publisher\": 
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\"EnviDat\"}",
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https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:26272",
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https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:26272",
            
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      "description": "## OWL files in RDF/XML\r\ndeveloped using 
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      "description": "## OWL files in RDF/XML\r\ndeveloped using 
            
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Prot\u00e9g\u00e9 5.2\r\n### Administrative ontology 
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Prot\u00e9g\u00e9 5.2\r\n### Administrative ontology 
            
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(appl:administrative) in ALCRIF\r\nontology-administrative.owl\r\n### 
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(appl:administrative) in ALCRIF\r\nontology-administrative.owl\r\n### 
            
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Epidemiology ontology (appl:epidemiology) in 
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Epidemiology ontology (appl:epidemiology) in 
            
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SRIF\r\nontology-epidemiology.owl\r\n### Merged ontology 
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SRIF\r\nontology-epidemiology.owl\r\n### Merged ontology 
            
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(undecidable)\r\nontology-merged.owl\r\n### Merged ontology 
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(undecidable)\r\nontology-merged.owl\r\n### Merged ontology 
            
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(decidable, without transitivity of 
96
(decidable, without transitivity of 
            
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appl:epidemiology#partOf)\r\nontology-merged-functionality.owl\r\n### 
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appl:epidemiology#partOf)\r\nontology-merged-functionality.owl\r\n### 
            
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Merged ontology (decidable, without functionality of 
98
Merged ontology (decidable, without functionality of 
            
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appl:administrative#partOf and disjointness of roles in the 
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appl:administrative#partOf and disjointness of roles in the 
            
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administrative ontology)\r\nontology-merged-transitivity.owl",
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administrative ontology)\r\nontology-merged-transitivity.owl",
            
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