chore: update ontology files

Author: rmfranken

build/locales/en/schema.json

@@ -64,6 +64,7 @@
     "hasFormat_label": "Has format",
     "availableInRegistry_label": "Available in registry",
     "hostType_label": "Host type",
+    "datasetFormat_label": "Dataset format",
     "hasDimensionality_label": "Has dimensionality",
     "bodySite_label": "Body site",
     "runnableExample_label": "Runnable example",
@@ -80,6 +81,153 @@
     "FormalParameter_label": "Formal Parameter",
     "ExecutableNotebook_label": "Executable Notebook",
     "SoftwareImage_label": "Software Image",
+    "EnumerationType_label": "Enumeration Type",
+    "ImagingModalityEnum_label": "Imaging Modality Enumeration",
+    "MRI_label": "MRI",
+    "CAT_label": "CAT",
+    "XRay_label": "X-ray",
+    "Any_label": "Any",
+    "AffiliationEnum_label": "Affiliation Enumeration",
+    "EPFL_label": "EPFL",
+    "UNIL_label": "UNIL",
+    "ETHZ_label": "ETHZ",
+    "UZH_label": "UZH",
+    "NoneAffiliation_label": "None",
+    "NonePluginModule_label": "None",
+    "NoneProcessorRequirement_label": "None",
+    "NoneSoftwareRequirement_label": "None",
+    "IsPluginModuleOfEnum_label": "Plugin Module Enumeration",
+    "Fiji_label": "Fiji",
+    "Napari_label": "napari",
+    "Icy_label": "icy",
+    "QuPath_label": "qupath",
+    "OMERO_label": "OMERO",
+    "Pyxu_label": "pyxu",
+    "ApplicationCategoryEnum_label": "Application Category Enumeration",
+    "DesktopApp_label": "Desktop app",
+    "Plugin_label": "Plugin",
+    "WebApp_label": "Web app",
+    "Notebook_label": "Notebook",
+    "Library_label": "Library",
+    "ImageObjectTagEnum_label": "Image Object Tag Enumeration",
+    "Logo_label": "logo",
+    "IllustrativeImage_label": "illustrative image",
+    "BeforeImage_label": "before image",
+    "AfterImage_label": "after image",
+    "AnimatedImage_label": "animated image",
+    "OperatingSystemEnum_label": "Operating System Enumeration",
+    "Windows_label": "Windows",
+    "Linux_label": "Linux",
+    "MacOS_label": "MacOS",
+    "OtherOS_label": "Other",
+    "OtherHostType_label": "Other",
+    "OtherDatasetFormat_label": "Other",
+    "ProcessorRequirementsEnum_label": "Processor Requirements Enumeration",
+    "ARM64_label": "ARM64",
+    "AMD64_label": "AMD64",
+    "FeatureEnum_label": "Feature Enumeration",
+    "Annotation_label": "Annotation",
+    "Labelling_label": "Labelling",
+    "OpticalFlow_label": "Optical flow",
+    "DigitalImageCorrelation_label": "Digital image correlation",
+    "MotionEstimation_label": "Motion estimation",
+    "Registration_label": "Registration",
+    "Stitching_label": "Stitching",
+    "DriftCorrection_label": "Drift correction",
+    "Denoising_label": "Denoising",
+    "Deblurring_label": "Deblurring",
+    "Smoothing_label": "Smoothing",
+    "Deconvolution_label": "Deconvolution",
+    "Preprocessing_label": "Preprocessing",
+    "Filtering_label": "Filtering",
+    "ImageSimplification_label": "Image simplification",
+    "Segmentation_label": "Segmentation",
+    "Classification_label": "Classification",
+    "ObjectDetection_label": "Object detection",
+    "ObjectRecognition_label": "Object recognition",
+    "Clustering_label": "Clustering",
+    "Grouping_label": "Grouping",
+    "PatternRecognition_label": "Pattern recognition",
+    "TemplateMatching_label": "Template matching",
+    "InstanceSegmentation_label": "Instance segmentation",
+    "PixelClassification_label": "Pixel classification",
+    "FeatureExtraction_label": "Feature extraction",
+    "DimensionalityReduction_label": "Dimensionality reduction",
+    "DirectionalImageAnalysis_label": "Directional image analysis",
+    "PoseEstimation_label": "Pose estimation",
+    "PoseInformation_label": "Pose information",
+    "PoseDetection_label": "Pose detection",
+    "OrientationAnalysis_label": "Orientation analysis",
+    "SceneReconstruction_label": "Scene reconstruction",
+    "Reconstruction3d_label": "3d reconstruction",
+    "ModelGeneration3d_label": "3d model generation",
+    "MorphologicalReconstruction_label": "Morphological reconstruction",
+    "DepthEstimation_label": "Depth estimation",
+    "CurvatureEstimation_label": "Curvature estimation",
+    "ShadingEstimation_label": "Shading estimation",
+    "Modelling_label": "Modelling",
+    "Simulation_label": "Simulation",
+    "Drawing_label": "Drawing",
+    "Visualization_label": "Visualization",
+    "Rendering_label": "Rendering",
+    "ImageEnhancement_label": "Image enhancement",
+    "StatisticsMeasurement_label": "Statistics measurement",
+    "QualityMetricMeasurement_label": "Quality metric measurement",
+    "DistributionMeasurements_label": "Distribution measurements",
+    "ImageQualityAssessment_label": "Image quality assessment",
+    "MeshGeneration_label": "Mesh generation",
+    "Voxelization_label": "Voxelization",
+    "SurfaceParameterisation_label": "Surface parameterisation",
+    "MorphologicalAnalysis_label": "Morphological analysis",
+    "FeatureDetection_label": "Feature detection",
+    "Tracking_label": "Tracking",
+    "VisualQuestionAnswering_label": "Visual question answering",
+    "SoftwareRequirementsEnum_label": "Software Requirements Enumeration",
+    "PyTorch_2_2_label": "PyTorch 2.2",
+    "PyTorch_2_1_label": "PyTorch 2.1",
+    "PyTorch_2_0_label": "PyTorch 2.0",
+    "PyTorch_1_13_label": "PyTorch 1.13",
+    "Tensorflow_2_15_label": "Tensorflow 2.15",
+    "Tensorflow_2_4_label": "Tensorflow 2.4",
+    "Tensorflow_2_2_label": "Tensorflow 2.2",
+    "Tensorflow_2_0_label": "Tensorflow 2.0",
+    "Tensorflow_1_8_label": "Tensorflow 1.8",
+    "Tensorflow_1_5_label": "Tensorflow 1.5",
+    "Tensorflow_1_4_label": "Tensorflow 1.4",
+    "CUDA_11_8_label": "CUDA 11.8",
+    "CUDA_12_1_label": "CUDA 12.1",
+    "CUDA_10_1_label": "CUDA 10.1",
+    "CUDA_9_0_label": "CUDA 9.0",
+    "ComputerLanguageEnum_label": "Computer Language Enumeration",
+    "Python_label": "Python",
+    "Scala_label": "Scala",
+    "Java_label": "Java",
+    "JavaScript_label": "JavaScript",
+    "GoLang_label": "GoLang",
+    "Csharp_label": "C#",
+    "C_label": "C",
+    "Bash_label": "bash",
+    "Shell_label": "shell",
+    "R_label": "R",
+    "Rust_label": "Rust",
+    "Cplusplus_label": "C++",
+    "MatLab_label": "MATLAB",
+    "HostTypeEnumeration_label": "Host Type Enumeration",
+    "PlazaGradioApplication_label": "Plaza Gradio Application",
+    "RenkuProject_label": "Renku Project",
+    "GoogleColab_label": "Google Colab",
+    "Wasm_label": "WebAssembly",
+    "DatasetFormatEnumeration_label": "Dataset Format Enumeration",
+    "DICOM_label": "DICOM (Medical Imaging Format)",
+    "NIfTI_label": "NIfTI (Neuroimaging Informatics Technology Initiative)",
+    "MINC_label": "MINC (Medical Imaging NetCDF)",
+    "NRRD_label": "NRRD (Nearly Raw Raster Data)",
+    "HDF5_label": "HDF5 (Hierarchical Data Format)",
+    "Parquet_label": "Parquet",
+    "CSV_TSV_label": "CSV/TSV (Tabular Data)",
+    "JSON_XML_label": "JSON/XML (Structured Data Formats)",
+    "JPEG_PNG_TIFF_label": "JPEG/PNG/TIFF (Standard Image Formats)",
+    "RAW_label": "RAW (Unprocessed Binary Data)",
     "SoftwareSourceCode_placeholder": "A software application.",
     "license_placeholder": "A license document that applies to this content, typically indicated by URL.",
     "citation_placeholder": "A DOI https URL citation to publication about this software. Use Zenodo to generate if needed. e.g. https://doi.org/10.1016/j.procs.2017.03.009",
@@ -138,6 +286,7 @@
     "hasFormat_placeholder": "Format followed by a file. For example, txt, nc, etc.",
     "availableInRegistry_placeholder": "URL to registry of where software image can be found. For example, https://hub.docker.com/r/pytorch/pytorch",
     "hostType_placeholder": "The type of host that the software component is running on. For example, plaza-gradio-application, renku-project, google-colab, wasm, other",
+    "datasetFormat_placeholder": "The format of the dataset. For example, dicom, nifti, tiff, png, jpg, etc.",
     "hasDimensionality_placeholder": "Property to indicate dimensionality of the input or output of a dataset specification",
     "bodySite_placeholder": "The part of the body that is being imaged.",
     "runnableExample_placeholder": "A runnable example of the software component",
@@ -153,5 +302,18 @@
     "DatasetSpecification_placeholder": "Class designed to describe a type of input or output used or produced by a model. For example, Topoflow has several inputs. One of them is a text file with precipitation values. The representation of this input is an instance of a dataset specification.",
     "FormalParameter_placeholder": "A FormalParameter is an identified variable used to stand for the actual value(s) that are consumed/produced by a set of steps",
     "ExecutableNotebook_placeholder": "An object representing an executable notebook such as Jupyter Notebook",
-    "SoftwareImage_placeholder": "An image that virtualizes the functionality of a given software. For example, a Docker container."
+    "SoftwareImage_placeholder": "An image that virtualizes the functionality of a given software. For example, a Docker container.",
+    "EnumerationType_placeholder": "EnumerationType class used to group all enumeration classes under",
+    "ImagingModalityEnum_placeholder": "Enumeration class for imaging modality",
+    "AffiliationEnum_placeholder": "Enumeration class for affiliation",
+    "IsPluginModuleOfEnum_placeholder": "Enumeration class for plugin module",
+    "ApplicationCategoryEnum_placeholder": "Enumeration class for application category",
+    "ImageObjectTagEnum_placeholder": "Enumeration class for image object tag",
+    "OperatingSystemEnum_placeholder": "Enumeration class for operating system",
+    "ProcessorRequirementsEnum_placeholder": "Enumeration class for processor requirements",
+    "FeatureEnum_placeholder": "Enumeration class for software features",
+    "SoftwareRequirementsEnum_placeholder": "Enumeration class for software requirements",
+    "ComputerLanguageEnum_placeholder": "Enumeration class for computer languages",
+    "HostTypeEnumeration_placeholder": "Enumeration class for host type",
+    "DatasetFormatEnumeration_placeholder": "Enumeration class for dataset formats"
 }

src/imaging-ontology/schema.ttl src/imaging-ontology/ImagingOntology.ttlsrc/imaging-ontology/schema.ttl renamed to src/imaging-ontology/ImagingOntology.ttl

@@ -269,6 +269,10 @@ imag:hostType a rdf:Property ;
   rdfs:comment "The type of host that the software component is running on. For example, plaza-gradio-application, renku-project, google-colab, wasm, other"@en;
   rdfs:label "Host type"@en .
 
+imag:datasetFormat a rdf:Property ;
+  rdfs:comment "The format of the dataset. For example, dicom, nifti, tiff, png, jpg, etc."@en;
+  rdfs:label "Dataset format"@en .
+
 sd:hasDimensionality a rdf:Property;
   rdfs:comment "Property to indicate dimensionality of the input or output of a dataset specification"@en;
   rdfs:label "Has dimensionality"@en .