Afita Mssa Version 2
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The Multilingual Semantic Search Assistant (MSSA) was developed to help users search the FAO AGRIS/CARIS Network more effectively. MSSA integrates four key functions - helping users find proper keywords, browse indexed topics to find keywords, expand queries across multiple languages, and expand queries using synonyms. These functions draw from the AGROVOC thesaurus to assist users in formulating semantic queries without requiring any changes to the underlying search engine. An initial evaluation found that expanding queries across languages using MSSA retrieved more relevant documents.
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IRJET - Text Optimization/Summarizer using Natural Language Processing
IRJET - Text Optimization/Summarizer using Natural Language Processing
More from Johannes Keizer
Presentation CABI Beijing 2019 11-04
The document discusses precision viticulture and data infrastructure. It describes a paradigm shift in research from 80% data production to 20% data production and 80% data evaluation. It also discusses the need for better data storage, access, and management through big and open data infrastructure to support scientific research, including a large study in China that engaged over 20 million smallholder farmers in sustainable farming practices.
eROSA presentation at CAAS, September 2018
Johannes Keizer presented the outcomes of the eROSA project with researchers from the Agricultural Information Institute of CAAS (Chinese Academy of Agricultural Science)
2018 03 apan
The document discusses the development of a shared global agricultural concept space (GACS) to enable semantic interoperability across different data sources and knowledge organization systems. It describes how GACS serves as a switchboard to map and link concepts across multiple thesauri, ontologies and taxonomies. The goal is for GACS to support harmonization and reuse of stable concepts and semantic relationships to facilitate linking of new community-developed knowledge organization systems and data integration efforts.
2017 11-15 macs
This document summarizes a workshop on Linked Open Data in Agriculture that took place in Berlin on September 27-28, 2017. The workshop included two tracks on policy/strategy and technologies/applications. Goals were to share current practices, determine data demand and supply, discuss applications and next steps. Topics included research data sharing, open geodata, vocabularies, and applications in livestock and supply chain. Presentations and information are available online. Principles of findable, accessible, interoperable and reusable data were discussed. Actions include forming collaborations around specific tasks and data types. In conclusion, following FAIR principles and international cooperation were emphasized for advancing open data and innovation in agriculture.
2016 10 caas-ats
Agricultural technology sharing needs open data. Johannes Keizer presented at a CAAS/GODAN workshop in Beijing about GODAN, which advocates making important agricultural and nutrition datasets global public goods and available to all. Open data from fields like genomics and viticulture can help increase food production and farmer livelihoods through applications in plant breeding and precision agriculture. However, open data also faces challenges in finding the right balance between openness and context. GODAN addresses these issues through working groups and partnerships to promote FAIR (findable, accessible, interoperable, reusable) open data principles.
2016 08 gxaas
The document summarizes a presentation given by Johannes Keizer on open data in agriculture. It discusses the challenges of feeding 9 billion people and the opportunities of open data and data-driven science. It provides examples of open data applications that are helping farmers access markets and inputs. The presentation advocates for making agricultural data openly available as global public goods and highlights GODAN's work in building partnerships and advocating for open data principles to solve food security issues.
2016 06 chengdu
This document summarizes a presentation given by Johannes Keizer from the GODAN Secretariat at the FAO on open data in agriculture and nutrition. The presentation introduced GODAN as a voluntary association of over 270 partners advocating that important agricultural and nutrition datasets be considered global public goods and made openly available. It discussed challenges of open data as well as how GODAN is addressing issues related to data rights, infrastructure, and interoperability through various working groups. Examples of open data applications and their benefits were provided. Participants were encouraged to get involved by becoming GODAN partners and participating in upcoming events like the GODAN Summit.
2017 08 apan
The document discusses the Global Agricultural Concept Scheme (GACS), which aims to create a common concept base for interoperability across agricultural information communities. GACS has mapped and integrated over 13,000 commonly used terms from existing thesauri. It provides a proof of concept that is already being used. The document outlines a vision for all data repositories to be open and interoperable through shared semantics and linking ontologies and concepts to GACS. Challenges around mapping between different knowledge organization systems are also discussed.
2017 09 caas
Johannes Keizer presented on data interoperability and shared vocabularies for agriculture. He discussed the Global Agricultural Concept Scheme (GACS) which maps terms from various agricultural thesauri to facilitate linking of data. However, mapping terms is an imperfect solution and ontologies are needed. GACS shows promise as a starting point but requires community involvement and standards to fully develop shared semantics and linked open data. Realizing this vision will involve overcoming challenges around integration of diverse knowledge organization systems and languages.
2017 11 wageningen-keizer
The document summarizes the proceedings of the eROSA 2nd Stakeholder workshop held in Wageningen, Netherlands in 2017. eROSA is funded by the European Union's Horizon 2020 program to develop an open e-science infrastructure for agriculture. The workshop discussed developing FAIR (findable, accessible, interoperable, reusable) agricultural data resources and services, and a vision for 2030 where food systems produce healthy food through sustainable methods while supporting environmental and social goals. Next steps include broadening perspectives beyond just agriculture to consider sustainable food systems, and making progress on implementing agricultural data infrastructures.
2017 11 eosc-keizer
This document summarizes a presentation about the eROSA project, which received Horizon 2020 funding to develop an open e-science infrastructure for agriculture. It discusses eROSA's vision for this infrastructure, comparing it to the European Open Science Cloud (EOSC). The presentation outlines eROSA's approach to data interoperability, virtual research environments, and data portals. It also evaluates how organic agriculture can support the UN Sustainable Development Goals and presents eROSA's vision for collaborative, resilient food systems by 2030.
2017 11 cascd
The document discusses the opportunities for open data in agriculture and nutrition from increased data availability due to advances in life sciences, information technologies, and data analytics. It outlines the need for an infrastructure to support FAIR (findable, accessible, interoperable, reusable) data principles and addresses issues like data rights, infrastructure, interoperability, and gaps. Examples are given of commercial field data and projects in Europe that integrate data from various sources using shared semantics, standards, and services. The presentation encourages partnerships to advance open data goals through working groups addressing specific challenges.
2017 04 igad-jk
The document discusses a project called e-ROSA that received Horizon 2020 funding. It presents results from e-ROSA's bibliometric study mapping data and stakeholders in agricultural research using Web of Science. The study identified over 6,400 relevant publications and looked at topics, active institutions, and links between institutions and categories. It notes some limitations since not all stakeholders are captured. The document also discusses identifying existing eInfrastructures and making data about repositories, organizations, and facilities simpler to discover.
2017 02 apan
Big data and open data are transforming science and agriculture. Making agricultural data openly available online as open data can generate economic benefits and help solve sustainability problems. It allows for new types of analyses that can provide insights into issues like food production and genetic variations. However, open data also faces challenges like only benefiting large players and lack of data standards and interoperability. The GODAN partnership advocates for making agricultural data globally available as open data to address issues like these through working groups and over 450 partners worldwide.
2017 06 itpgrfa
This document discusses GODAN, an advocacy organization that promotes making agricultural and nutrition data openly available as global public goods. It notes that GODAN has over 500 partners and several donors. The document outlines the FAIR principle for open data endorsed by the G20, that resources should be findable, accessible, interoperable, and reusable. It provides information on what GODAN does, including advocacy, acting as a think tank, and building a knowledge network. Potential areas for collaboration are mentioned, such as using plant genetic resource data to demonstrate FAIR data principles or disseminating information on an international treaty.
2017 03 brussels
This document summarizes the eROSA project, which received funding from the European Union's Horizon 2020 research and innovation programme. The 18-month project aims to build a community around developing roadmaps for an e-infrastructure for open science in agriculture. It will conduct stakeholder mapping and stocktaking activities to understand current relevant infrastructures, projects, and policies. The project is a coordination and support action with partners from France, the Netherlands, and Greece and seeks to support the development of small foresight roadmaps and identify potential collaborations across scientific domains and geographic areas.
2017 076 efita-sponsor-godan
GODAN advocates that important agricultural and nutritional datasets should be considered global public goods and made available to everyone in an open and accessible manner. The organization aims to promote open data in the agriculture and nutrition sectors so that valuable information can be shared globally for public benefit.
2017 07 montpellier-keizer
This document discusses different views on defining and mapping e-infrastructure in agriculture. It summarizes the European Commission's view of the European Open Science Cloud (EOSC) and European Data Infrastructure (EDI) and how stakeholders like industry, scientific users, and the public sector relate to these. It also discusses the different components of infrastructure like communities, technical standards, business models and more. Mapping approaches are presented for identifying resources and services as well as the levels of "FAIRness".
2017 04 embl
GACS (Global Agricultural Concept Scheme) is a project between FAO, NAL, and CABI to create a common base of agricultural terms by merging and mapping their thesauri. Currently it contains a core of around 13,000 commonly used terms. The goal is for all data repositories to be open and interoperable by linking terms and concepts between different knowledge organization systems using GACS as a common reference point. Ontologies and thesauri can consult GACS when being developed to reuse existing related terms and concepts, and add new terms to GACS if they are commonly needed.
The FAIR principle in the Big Data World
1. Johannes Keizer gave a presentation on data ownership and access rights issues related to open data and the FAIR principle in the context of big data.
2. The presentation discussed GODAN's advocacy for making important agricultural and nutrition datasets global public goods by making them available to everyone.
3. The FAIR principle, endorsed by the G20 in 2016, states that resources need to be findable, accessible, interoperable, and reusable.
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【业务选择办理准则】
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2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
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7:个人信誉贷款加10分
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Afita Mssa Version 2
- 1. Kim Soonho, Jeetendra Singh, Ze Li, Andrew Bagdanov,Ajay Krishnan, Margherita Sini, TV Prabhakar and Johannes Keizer FAO of the United Nations, Indian Institute of Technology, Kanpur Guangdong Accademy of Agricultural Science
- 3. FAO AGRIS/CARIS Network FAO Google search
- 7. Sending formulated queries to the search engine +