Plan to add metadata to Field Server Data using RDF

Transcription

1 Plan to add metadata to Field Server Data using RDF Takuji Kiura Tokihiro Fukatsu National Agarculture and Food Research Organization, Japan.

2 Outline Field Server Field Server, Data, Issues Purpose Our Plan GeoNames, NASA SWEET, Plant Ontology, Crop Ontology, Description of metadata and RDF generator Summary

3 Field Server eldserveren/default.htm NARO since 2002 Web based Wi-Fi sensor node Web of Things for Agriculture Air Temperature, Humidity, Camera, etc.

4 Field Server Data

5 Data Size & Extensions > 100 million files Directory data 180GB 7.6TB (4KB) Sensor Data 2172 txt 2726 tgz 5984 xsl 6864 jpeg gz xml gif html htm jpg

6 Examples

7 Examples 640x480 33KB KB MB

8 Characteristics - Images l Image resolution, angle, and duration are depending on FS. Some camera stores information in EXIF l JPEG or RAW l Some camera without FR filter l Auto Image Correction by Camera.

9 Directory Structure Obuse is observed field name fs-01 is a name of field server at Obuse year and month data observed (YYYYMM) year, month, and date data observed (YYYYMMDD) NetCam01 is a camera id at Obuse

10 Issues l 3 hours to find get new files in current FS sites for data backup. l Terms used in Data Files is not controlled well, depending FS Site. l Images without annotations

11 Purpose Make Field Server data, already exists, useful Without transform or modification Without deploy new server

12 Approach Describe common metadata using controlled and referable resources for each directory. Generate abaut.rdf scanning described metadata in each directory. Regist abaut.rdf for field server observation directory to catalog sites to contribute Linked Open Data

13 Required Metadata Experimental Field where it located in, references to Field Servers and cameras deployed in the Field, Observation Items and period, crop name, parts name taken by camera Field Server GPS location, operation period, operation details, reference to sensor details, meanings of tags Image data part, corrupted, error, operation, etc

14 location GeoNames Ontology: ex: xmlns:gn=" <gn:locatedin>

15 Crop Vocabulary;CVO CVO define the crop name with 4 kinds of property and their values - 4 kinds of property Scientific name, Synonyms, Mature/ Immature, Edible/ Non-edible, Edible part. CVO link to cultivar list CVO Pea Synonyms;Garden pea Scientific name; Pisum sativum Mature pea seed Synonyms;Pea (mature seed) Scientific name; Pisum sativum Mature/Immature ;Mature Edible part; Seed Green peas Synonyms; Scientific name; Pisum sativum Mature/Immature ; Immature Edible part; Seed Pod Pea Synonyms; Scientific name; Pisum sativum Mature/Immature ; Immature Edible part; Seed, Pod Cultivar list Cultivar list Usui Cultivar list Kinusaya Crop Names By Akane Takezaki

16 Harmonizing semantics for phenotyping and agronomy data Elizabeth Arnaud (Bioversity International), Crop Ontology project PI Co-authors: Leo Valette 1, Julian Pietragalla 2, Marie Angelique Laporte 1, Céline Aubert 1, Medha Devare 3, Pankaj Jaiswal 4, Laurel Cooper 4, Graham McLaren 2, Jean-Marcel Ribaut 2 And all crop curators and breeders Bioversity international 1, Integrated Breeding Platform 2, CGIAR 3, Oregon State University 4 Agri Big Data workshop 4-7 July 2016 TIC ASIA

17 Other Recourses Plant Ontology NASA SWEET Observation Items, Platform SensorML Ontology to describe Experimental Field? -> AgroPortal

18 Benefit No modification on data, already exists. No dynamic web server is required

19 Summary & Future plan Field Sever data, availabl at is difficult to use without metadata. Planning to describe RDF for environmental data using referable web ontologies and RDFs Describing RDF for image data is also required