- From: Vladimir Alexiev <vladimir.alexiev@ontotext.com>
- Date: Thu, 4 Sep 2014 15:01:41 +0300
- To: "'public-openannotation'" <public-openannotation@w3.org>
Nobody has yet mentioned that you need to describe how the image was taken from the object, and bind it geometrically. - Painting images often have different flags or aspects, e.g. recto/verso, framed/unframed, detail; visible-light/xray, etc. E.g. see https://confluence.ontotext.com/display/ResearchSpace/Yale+Mapping+Problems#YaleMappingProblems-ImageViews - But this just touches the tip of the iceberg. Consider that for 3D objects that'd be a lot more complex (going into the subject matter of standards like VRML and X3D) CIDOC CRM has a way of describing locations on objects: E46 Section Definition. E.g. see: - http://personal.sirma.bg/vladimir/crm/entity_list_cleaned.html#E46_Section_Definition - http://personal.sirma.bg/vladimir/crm-graphical/#location 2 - http://personal.sirma.bg/vladimir/crm-tutorial/#slide41 Unfortunately there's no standardization of expressing coordinate systems or coordinates for section definitions. But I think it should mesh with E54 Dimensions. E.g. "the origin of this image is 5cm along the Width dimension, and 10 cm along the Height dimension". - http://personal.sirma.bg/vladimir/crm/entity_list_cleaned.html#E54_Dimension - http://personal.sirma.bg/vladimir/crm-graphical/#measurement - http://personal.sirma.bg/vladimir/crm-tutorial/#slide30 Also, it'd be good to record details of the image taking (digitization) process. There's an extension CRMdig dedicated to that. E.g. there's crmdig:D11_Digital_Measurement_Event I think the right workflow is: - take images of objects - record the geometric binding (E46 Section Definition) and provenance of the digitization process (CRMdig) - annotate images (since many people can't touch the real objects, and there are few tools to annotate the real object) - infer that the same annotations apply to the object (section) - be able to query for annotations within a certain object region, coming from different images.
Received on Thursday, 4 September 2014 12:02:10 UTC