PROV and Real Things. Simon J D Cox & Nicholas J Car 4 th December 2015 LAND AND WATER

Transcription

1 PROV and Real Things Simon J D Cox & Nicholas J Car 4 th December 2015 LAND AND WATER

2 The problem preparation workflow on a specimen s journey from collection to analysis is complex, and variable its description must be available in order to evaluate or reproduce observations this workflow may link in to other business workflows like data publication 2 PROV and real things Cox & Car

3 Real workflows 3 PROV and real things Cox & Car

4 Proposal: 1. Describe specimen preparation using a generic process model (i.e. input-process-output) 2. Use W3C PROV as the generic process model 4 PROV and real things Cox & Car

5 ISO Specimen model Specimen is a kind of Sampling Feature [0..*] Preparation Steps GFI_Feature +sampledfeature 1..* Intention +relatedsamplingfeature 0..* SamplingFeatureComplex + role: GenericName SF_SamplingFeature + lineage: LI_Lineage [0..1] + parameter: NamedValue [0..*] 0..* 0..* SF_Process Issues: Can t tie the predecessor/successor to a preparation step UML/XML only SF_Specimen + currentlocation: Location [0..1] + materialclass: GenericName + samplinglocation: GM_Object [0..1] + samplingmethod: SF_Process [0..1] + samplingtime: TM_Object + size: Measure [0..1] + specimentype: GenericName [0..1] +processingdetails PreparationStep + processoperator: CI_ResponsibleParty [0..1] + time: TM_Object Location + geometrylocation: GM_Object + namelocation: EX_GeographicDescription ISO 19156:2011 Geographic Information Observations and measurements (S J D Cox, Ed.) 5 PROV and real things Cox & Car

6 Specimen model in sam-lite S J D Cox, Ontology for observations and sampling features, with alignments to existing models, Sem. Web (in press) 6 PROV and real things Cox & Car

7 What is PROV? Core classes: - Entity - thing of interest ( endurant ) - Activity - transformation event ( occurrent ) - Agent - responsible party or process T. Lebo, S. Sahoo, D.L. McGuinness, PROV-O: The PROV Ontology, (2013). 7 PROV and real things Cox & Car

8 PROV applications The entities of interest are usually Datasets Publications, papers, reports, products i.e. information objects How about the internet of things? 8 PROV and real things Cox & Car

9 Specimen PROV mapping Specimen sub-class-of prov:entity. Process sub-class-of prov:agent. Preparation-step sub-class-of prov:activity. Specimen is a real thing! 9 PROV and real things Cox & Car

10 Example: carbonate Agents: people, machines Activities: preparation-steps, observations Entities: specimens, data, reports analysis 10 PROV and real things Cox & Car

11 Ontology Design Pattern This work with real things fits my generic PROV usage design pattern input data machine agent human agent plan activity output data config 11 PROV and real things Cox & Car

12 Example: insect taxonomy Agents: people, machines Activities: preparation-steps, observations Entities: specimens, data, reports 12 PROV and real things Cox & Car

13 URIs for agents some vocabularies required People, including functional positions ( the lab technician at the time ) Machines, other pieces of kit URIs for specimens see IGSN 13 PROV and real things Cox & Car

14 Elaborations These examples use only core PROV: qualifiedinfluence properties enable recording of more detail 14 PROV and real things Cox & Car

15 Provenance vs provenance Provenance in GLAM* world = chain-of-custody of non-reproducible things To verify identity, but also important for assay data, drug-testing, forensics Provenance in data world = transformations of reproducible things Provenance in the world of specimens = transformations of non-reproducible things.? * Galleries, Libraries, Archives & Museums 15 PROV and real things Cox & Car

16 Summary Original application of PROV to real things Core PROV model capable of capturing specimen prep & analysis Specialization might make it stronger, but little needed Bringing data provenance home to the GLAM application 16 PROV and real things Cox & Car

17 Thank you CSIRO Land and Water Simon Cox Research Scientist t e simon.cox@csiro.au Geoscience Australia Nicholas Car Data Architect t e nicholas.car@ga.gov.au LAND AND WATER