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Using AGRIS as a portal of choice to access agricultural information
An AGRIS webinar presentation for the Webinars@AIMS
by Thembani Malapela
April 2016
AGRIS - International System for Agricultural Science and Technology 1
Presentation outline
AGRIS: An Introduction
What is AGRIS? AGRIS Collection, AGRIS Network, AGRIS Web portal &
AGRIS LOD Dataset
Who uses AGRIS
The AGRIS Portal
How to search the AGRIS Portal Multilingual search
How to search retrieve full text documents?
Overview of Data submission workflow
Questions
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AGRIS: An Introduction
Started in 1975, to help partners promote their scientific production - These were ministries and research centres in agriculture from different countries.
In practice, this core bibliographic repository was contributed by partners, compiled & disseminated by FAO (on paper, CD, now portal)
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What is AGRIS?
The International System for Agricultural Science and Technology. Today AGRIS is,
A collection of more than 8 million multilingual bibliographic resources.
A network of more than 150 institutions from 65 countries
A linked open data set
A Web portal (http://agris.fao.org/)
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Who uses AGRIS?
Graduate students, lecturers and researchers in academic institutions
Librarians, cataloguers , and other information professionals
Publishers and professional associations
Government officials
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i. The AGRIS Collection
8,327,188 multilingual bibliographic records – 400,000 from Latin America
– 150,000 from Africa
– 760,000 from Asia + 400,000 links to CSDD (China)
Links to the full text explicit/implicit through Google - Collection includes Books (31,000) , Bibliographies (366,000) Conference Papers (286,000), journal articles (5,000,000), thesis (62,000), and others (250,000).
250 million triples
Languages – English, French, Spanish, Chinese, Italian,
German, Japanese, Russian, Portuguese, Arabic, Korean, Farsi 6
iii. The AGRIS LOD Dataset
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All records in AGRIS are indexed with AGROVOC
–Manually, by the partner
–Automatically, by AGRIS
AGROVC is a LOD resource – AGROVOC links to Voc
– Voc indexes Data
– AGRIS links to Data
AGROVOC keywords are also used to query external Web Services
iii. The AGRIS LOD Dataset (2)
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Some of the Linked resources
DBPedia
Nature OpenSeach
GBIF
WorldBank
FAO geopolitical ontology – Country profiles
IFPRI
FAO fisheries and aquaculture fact sheets
Bioversity international
CGRIS germplasm database
AGRIS - International System for Agricultural Science and Technology
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Example of Filtering by Data Provider
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Multilingual Search Functionality
A detailed blog on multilingual search entitled Focus on AGRIS multilingual search is available at http://bit.ly/1RNFQRw
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Brief summary of submitting data to AGRIS
Submission done via the AGRIS AkStem Service at http://www.akstem.com/agris/
The service is for AGRIS content Providers Data Processing is done through a partnership
with AGROKNOW in Greece Brief Steps
Content Providers submit request AGROKNOW Data Processing Unit and AGROKNOW Stem
team processes the request and activate the dashboard In the dashbard content providers submit information about
their contact person, theirinstitutional details and their collection. Provider submits data.
AGRIS - International System for Agricultural Science and Technology
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Useful Sources of Information about AGRIS
1. AGRIS Website . http://agris.fao.org/content/about 2. Contributing bibliographic information to AGRIS.
http://aims.fao.org/activity/blog/contributing-bibliographic-information-agris 3. AGRIS Subject Categories. http://www.fao.org/scripts/agris/c-categ.htm 4. AGRIS Journal Papers – Search AGRIS at http://eprints.rclis.org/cgi/search/advanced Documentary Repository http://www.fao.org/publications/search/en/
Questions and Answers
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• Which additional services would you like to see in AGRIS? We refer to both AGRIS website functionalities and to the possibility to use AGRIS data through online services
• Do you think AGRIS should improve its content coverage, becoming as PubMed for life sciences?
• Which latent knowledge do you think we can extract from 8 million AGRIS records? Thus, by analysing data, is it possible to derive new useful knowledge?
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What's your Opinion on these 3 points