aginfra intoductory presentation

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Nikos Manouselis, Giannis Stoitsis Agro-Know Technologies http://wiki.agroknow.gr

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Page 1: agINFRA Intoductory Presentation

Nikos Manouselis, Giannis StoitsisAgro-Know Technologies

http://wiki.agroknow.gr

Page 2: agINFRA Intoductory Presentation

“We will promote research for food and agriculture, including research to adapt to, and mitigate climate change, and access to research results and technologies at national, regional and international levels.

We will reinvigorate national research systems and will share information and best practices.

We will improve access to knowledge.”Heads of State and Government, World Summit on Food Security, Rome,

November 2009

Page 3: agINFRA Intoductory Presentation
Page 4: agINFRA Intoductory Presentation

agINFRA in a few words• Based on a linked open data architecture

harmonizing semantics and ontologies• Aggregating data of existing systems, taking

advantage of advanced cloud/grid services and infrastructure

• Devised for scalability and maximum interoperability by adapting existing widely used components

• Fostering diverse communities of heterogeneous providers and users

• Providing researcher-centric services

Page 5: agINFRA Intoductory Presentation

whywhy

Page 6: agINFRA Intoductory Presentation
Page 7: agINFRA Intoductory Presentation

key issues

a) aggregating datab) finding relevant knowledgec) providing more storage & computing

power

Page 8: agINFRA Intoductory Presentation

• stats

• gene banks

• gis data

• blogs,

• journals

• open archives

• raw data

• technologies

• learning objects

• ………..

information officer

view

Page 9: agINFRA Intoductory Presentation

• stats

• gene banks

• gis data

• blogs,

• journals

• open archives

• raw data

• technologies

• learning objects

• ………..

organic educator

view

Page 10: agINFRA Intoductory Presentation

• stats

• gene banks

• gis data

• blogs,

• journals

• open archives

• raw data

• technologies

• learning objects

• ………..

hydroponic farmer

view

Page 11: agINFRA Intoductory Presentation

• stats

• gene banks

• gis data

• blogs,

• journals

• open archives

• raw data

• technologies

• learning objects

• ………..

Page 12: agINFRA Intoductory Presentation
Page 13: agINFRA Intoductory Presentation

howhow

Page 14: agINFRA Intoductory Presentation

agINFRA content base

Page 15: agINFRA Intoductory Presentation

integrated services

Page 16: agINFRA Intoductory Presentation
Page 17: agINFRA Intoductory Presentation

Stakeholders’ Involvement and

Requirements

e-Infrastructure Set Up and Management

Components for Data Management, Processing,

Visualisation and Navigation

Community-based Data Policies & Workflows and

Data Integration

Existing needs and requirements from relevant

initiatives

Existing e-infrastructure facilities/resources (cloud,

grid, supercomputing, GEANT)

Existing tools and components

Existing policies and practices within

communities

Scientists requirements, data providers requirements and technical requirements

Infrastructure for data storage & processing and

customised API’s

Data management, data processing and data

visualisation & navigation APIs

Workflow for cross community data integration,

Linked data framework, data federation/integration

INPUTS PHASES OUTPUTS

Dissemination, training and sustainability activities

Management, operation and monitoring of the agINFRA e-Infrastructure

Deployment of Integrated Services Over Research

Infrastructure

Existing data-intensive services that scientists use

Five integrated services supporting different virtual

scientific communities

Evaluation and Testing

Users within partners’ networks and institutions.

3rd party affiliated/supporting networks/

institutions

User focused trials. Technical testing and

validation. Recommendations for

improvement

Page 18: agINFRA Intoductory Presentation

interesting (?) aspectsinteresting (?) aspects

Page 19: agINFRA Intoductory Presentation

metadata aggregation

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social research platforms

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extracting research activities

Page 22: agINFRA Intoductory Presentation

challengeschallenges

Page 23: agINFRA Intoductory Presentation

virtualisation of infrastructure

Storage and Processing Monitoring/Management/Allocation layer

Virtualization of Infrastructure Layer

Virtual Machines

Virtualization of Infrastructure LayerVirtualized Infrastractures Management LayerGUI tools and APIs

Cloud provider A Cloud provider B Cloud provider B

Page 24: agINFRA Intoductory Presentation

semantic evolution

AGRIS Harvester (FAO)Organic.Edunet Harvester (UAH)

VOA3R Harvester (UAH)...

HARVESTER

OAI-PMH Service Provider #1

Schema Mapper#1

OAI-PMH Service Provider #n

Schema Mapper#n

INDEXER

AggregatedXML Repository

Web Portals

Open AGRIS (FAO)AgLR/GLN (ARIADNE)Organic.Edunet (UAH)

VOA3R (UAH)

AGRIS AP Schema

IEEE LOM Schema

DC Schema

...

RDF Triple Store

Common Schema

SPARQL endpoint(Data Source #1)

SPARQL endpoint(Data Source #n)

AGROVOC

INDEXER

Web Portals

SPARQL endpoint

NOW (2012) CASE OF AGRICULTURAL INFRASTRUCTURES 2015 (AgINFRA) CASE OF AGRICULTURAL INFRASTRUCTURES

Page 25: agINFRA Intoductory Presentation

content growth

Page 26: agINFRA Intoductory Presentation

thank you!thank you!Dr. Dr. Nikos ManouelisNikos Manouelis

[email protected]

Dr. Giannis StoitsisDr. Giannis [email protected]

http://http://aginfra.eu