This document summarizes a presentation given by Dr. Johannes Keizer of the Food and Agriculture Organization (FAO) of the United Nations. The presentation discusses the 10-year Agricultural Ontology Initiative to build a linked data infrastructure for agricultural knowledge. It provides an overview of FAO's AGROVOC concept scheme and other agricultural ontologies developed through partnerships. It also describes semantic tools and technologies used by the Agricultural Ontology Service (AOS) to link and aggregate agricultural data into a global linked open data cloud.
The document summarizes the 10 year Agricultural Ontology Initiative led by Dr. Johannes Keizer of FAO. It discusses how FAO has worked to make agricultural knowledge available online through various initiatives like AGROVOC, developing agricultural ontologies, tools like the Concept Scheme Work Bench, and linking data across different sources to create a linked data infrastructure for agriculture. It provides examples of ontologies developed in domains like fisheries and partnerships with other organizations. The goal is to improve access and use of agricultural knowledge through semantic technologies and linked open data.
This document discusses open access in agricultural research and development. It provides an overview of the CIARD initiative, which aims to make agricultural research information accessible to all. It presents several case studies of open archives and repositories in countries like Kenya, India, Africa, and Thailand. It also describes tools and standards being developed to improve open access, such as customizing DSpace and using Drupal with controlled vocabularies like Agrovoc. The overall goal of CIARD and these efforts is to increase the sharing and dissemination of public agricultural research information on a global scale.
There is a growing community of open archives among the organizations who are working on agricultural research for development. These organizations are working together in the CIARD initiative (Coherence in Information for Agricultural Research for Development) and opening access to agricultural research papers and data is goal of the initiative. In the last two years the development has gone from some single open archives to a movement that includes globally the AGRIS network, the OceanDoc Initiative, the CGIAR and national networks like “Kenya Agricultural Information Network” and AgroRed Peru. The presentation will present case studies, the results of a recent survey and the work on DSpace and Drupal to customize them as OA tools for the use in the community.
The document discusses the AGROVOC Concept Server Workbench System and AGROVOC vocabulary. It summarizes that AGROVOC is an agricultural vocabulary with around 30,000 concepts and 600,000 labels in 20 languages. It has been converted from a traditional thesaurus to an agricultural concept scheme and OWL ontology to add semantics and relationships between concepts. Converting AGROVOC to the Semantic Web using OWL and SKOS has had positive impacts like increasing its language versions and usage as a standard for indexing in many areas.
This document discusses vocabularies and linked open data in agriculture. It describes efforts to transform the AGROVOC thesaurus into a linked open data concept scheme, linking it to other agricultural vocabularies like EUROVOC, NALT, and GEMET. Over 18,000 links have been created between AGROVOC and these external vocabularies. Tools like VocBench allow collaborative editing of vocabularies and generation of RDF data. Efforts are also underway to use tools like AgroTagger and Calais to identify concepts in unstructured text and link data for the Semantic Web.
The "Shoes on the Danube Bank" Holocaust memorial in Budapest features 60 pairs of iron shoes attached to the stone embankment along the Danube river. Behind the shoes is a 40 meter long stone bench. Plaques in Hungarian, English, and Hebrew describe how the memorial honors the victims shot into the Danube by Arrow Cross militiamen during the Holocaust. People often stop to view the memorial, with some leaving flowers or candles.
The document discusses the CIARD (Coherence in Information for Agricultural Research for Development) initiative and how it aims to create a global infrastructure for linked open data. It describes how FAO has worked for decades to make agricultural information more accessible, including through programs like AGRIS and AIMS. The CIARD initiative now involves over 100 partners working to coordinate their efforts and promote common data formats and systems. It outlines FAO's work on vocabularies like AGROVOC and how linked open data can help link distributed data sources in agriculture through applying standards.
The document summarizes the 10 year Agricultural Ontology Initiative led by Dr. Johannes Keizer of FAO. It discusses how FAO has worked to make agricultural knowledge available online through various initiatives like AGROVOC, developing agricultural ontologies, tools like the Concept Scheme Work Bench, and linking data across different sources to create a linked data infrastructure for agriculture. It provides examples of ontologies developed in domains like fisheries and partnerships with other organizations. The goal is to improve access and use of agricultural knowledge through semantic technologies and linked open data.
This document discusses open access in agricultural research and development. It provides an overview of the CIARD initiative, which aims to make agricultural research information accessible to all. It presents several case studies of open archives and repositories in countries like Kenya, India, Africa, and Thailand. It also describes tools and standards being developed to improve open access, such as customizing DSpace and using Drupal with controlled vocabularies like Agrovoc. The overall goal of CIARD and these efforts is to increase the sharing and dissemination of public agricultural research information on a global scale.
There is a growing community of open archives among the organizations who are working on agricultural research for development. These organizations are working together in the CIARD initiative (Coherence in Information for Agricultural Research for Development) and opening access to agricultural research papers and data is goal of the initiative. In the last two years the development has gone from some single open archives to a movement that includes globally the AGRIS network, the OceanDoc Initiative, the CGIAR and national networks like “Kenya Agricultural Information Network” and AgroRed Peru. The presentation will present case studies, the results of a recent survey and the work on DSpace and Drupal to customize them as OA tools for the use in the community.
The document discusses the AGROVOC Concept Server Workbench System and AGROVOC vocabulary. It summarizes that AGROVOC is an agricultural vocabulary with around 30,000 concepts and 600,000 labels in 20 languages. It has been converted from a traditional thesaurus to an agricultural concept scheme and OWL ontology to add semantics and relationships between concepts. Converting AGROVOC to the Semantic Web using OWL and SKOS has had positive impacts like increasing its language versions and usage as a standard for indexing in many areas.
This document discusses vocabularies and linked open data in agriculture. It describes efforts to transform the AGROVOC thesaurus into a linked open data concept scheme, linking it to other agricultural vocabularies like EUROVOC, NALT, and GEMET. Over 18,000 links have been created between AGROVOC and these external vocabularies. Tools like VocBench allow collaborative editing of vocabularies and generation of RDF data. Efforts are also underway to use tools like AgroTagger and Calais to identify concepts in unstructured text and link data for the Semantic Web.
The "Shoes on the Danube Bank" Holocaust memorial in Budapest features 60 pairs of iron shoes attached to the stone embankment along the Danube river. Behind the shoes is a 40 meter long stone bench. Plaques in Hungarian, English, and Hebrew describe how the memorial honors the victims shot into the Danube by Arrow Cross militiamen during the Holocaust. People often stop to view the memorial, with some leaving flowers or candles.
The document discusses the CIARD (Coherence in Information for Agricultural Research for Development) initiative and how it aims to create a global infrastructure for linked open data. It describes how FAO has worked for decades to make agricultural information more accessible, including through programs like AGRIS and AIMS. The CIARD initiative now involves over 100 partners working to coordinate their efforts and promote common data formats and systems. It outlines FAO's work on vocabularies like AGROVOC and how linked open data can help link distributed data sources in agriculture through applying standards.
This document discusses the role of thesauri and standard vocabularies in linking data on the semantic web. It explains how thesauri were traditionally used to ensure consistency in library indexing but are now being used as building blocks for the semantic web. The document outlines how AGROVOC, FAO's multilingual controlled vocabulary, has been converted to SKOS and linked to other vocabularies to facilitate integration of agricultural data from different sources on the semantic web. It also describes how AGROVOC is being used to semantically tag unstructured text by tools like AgroTagger to help structure and link more agricultural information online.
This document discusses FAO's AGROVOC multilingual thesaurus and its transition to linked open data. AGROVOC began as a traditional thesaurus but has evolved to an agricultural concept scheme linked to other datasets using semantic web standards like SKOS, RDF, and URIs. It has been converted to the SKOS model and is accessible via a web-based workbench for collaborative editing and management. The workbench allows editing of concept relationships, definitions, and translations. AGROVOC aims to become a central linked open data resource for the agricultural domain.
The document discusses Johannes Keizer's background and experience in data management. It describes his difficulty finding data from his PhD thesis after many years, highlighting the issue of disappearing data. The presentation emphasizes the importance of open data and infrastructure to ensure long-term access and reuse of critical agricultural knowledge and research data.
The document discusses interoperability in agricultural information systems and the need for international collaboration. It describes how the Food and Agriculture Organization (FAO) of the United Nations is working to create standards and services like Agrovoc and the Agricultural Ontology Service to enable semantic interoperability across cultures and languages. The Coherence in Information for Agricultural Research for Development (CIARD) initiative aims to create a community of practice that promotes common standards, tools and methodologies to improve global access to agricultural information.
This document discusses AGROVOC, an agricultural vocabulary that has been converted to Linked Open Data. It provides over 580,000 terms in 20 languages and is a global standard for describing agricultural information. As Linked Open Data, AGROVOC is now linked to other important online resources through common identifiers, allowing it to connect over 200 datasets that use these standard vocabularies. This linking of data through common web identifiers is shown to be a cornerstone for an information management infrastructure in agricultural research and innovation.
Making agricultural knowledge globally discoverable: are we there yet?Nikos Manouselis
This document discusses making agricultural knowledge globally accessible through open data initiatives. It describes Agro-Know's work in aggregating and organizing agricultural data from diverse sources to make it discoverable. Current efforts replicate work by harvesting, transforming and indexing data separately. The document envisions a large, open platform that catalogs all relevant agricultural information, makes it machine-readable and discoverable, and allows data to be shared and used to address societal challenges.
The document discusses AGROVOC, an agricultural vocabulary managed by FAO, and its role in an information infrastructure for agricultural research called agINFRA. It notes that AGROVOC contains 580,000 terms in 20 languages and is a global standard for describing agricultural information. Recently, AGROVOC has been linked to other important vocabularies as Linked Open Data, resulting in over 18,000 links being created in just 3 weeks and connecting hundreds of datasets that use these standard vocabularies. This linking of vocabularies through common web identifiers is crucial for integrating agricultural data on a global scale.
The document discusses the need for international collaboration on interoperability in agricultural information systems. It describes various initiatives including Agrovoc, the Agricultural Ontology Service, and CIARD that aim to develop common standards and shared vocabularies to improve semantic interoperability across repositories and languages. The ultimate goal is to make agricultural research information and knowledge truly accessible on a global level through linked open data principles and distributed yet interconnected knowledge organizations.
The document discusses VocBench, an open source project for a SKOS editor that allows for the collaborative management and maintenance of controlled vocabularies and thesauri. It presents VocBench as a tool for linking open vocabularies and data to enable greater semantic interoperability. The document also outlines VocBench's features and growing community of partners who are adopting it to manage their controlled vocabularies.
This document summarizes the AIMS team's work developing tools and standards for managing and publishing agricultural knowledge organization systems (KOS), including AGROVOC and VocBench. It describes the evolution of AGROVOC from a thesaurus into linked open data and the development of VocBench as a SKOS-compliant platform for collaborative knowledge management. It also provides an overview of how AGROVOC and other thesauri have been integrated into the larger AGROVOC linked open data cloud.
This document proposes collaboration between agencies like FAO, UNBIS, and EUROVOC to link their data through standard vocabularies like AGROVOC. It discusses developing AGROVOC and other vocabularies as SKOS-XL concept schemes and publishing them as linked open data. It also proposes using semantic technologies like AgroTagger to index agency publications and customize search engines. A working group is suggested to elaborate a project proposal.
2011 06 Ciard Introduction - English - BeijingCIARD
- The document discusses the CIARD initiative, which aims to make agricultural research information and knowledge truly accessible to all by coordinating efforts between organizations, promoting common formats, and adopting open systems.
- It outlines CIARD's vision of creating a global network of public agricultural research collections and lists its core values of advocating effective investment, establishing coherent systems, communicating content, and developing capacities.
- The document provides an overview of CIARD's activities since its launch in 2005, including regional consultations, task forces, and endorsements from organizations like GCARD and FARA.
T6: Partnership and Knowledge Sharing for DevelopmentFAO
T6: Making research and science reach farmers and end users - The above presentation was presented during the poster session for Market Place of the LWD in 17 December 2013. Agricultural Knowledge and Information Systems for Rural Development and Food Security Improvement, By Dr. Magdi Latif, Knowledge Outreach and Capacity Development Division - FAO of the United Nations, , Land and Water Days in Near East & North Africa, 15-18 December 2013, Amman, Jordan
Presented at the Interest Group on Agricultural Data (IGAD) ,3 April, 2017, Barcelona, Spain
Abstract: n this talk, we present the current status of our agriculture ontologies that are developed to accelerate the data use in agriculture.
The agriculture activity ontology formalizes the activities in agriculture. We have developed it for three years. Now we are developing its applications. One application is to exchange formats between different farmer management systems. Another ontology is the crop ontology that standardizes the names of crops. The structure is simple but has links to many other standards in distribution industry, food industry and so on.
2011-05 CIARD General Presentation - English - Bangladesh CIARD
The document discusses the CIARD (Coherence in Information for Agricultural Research for Development) initiative which aims to make public agricultural research information truly accessible to all. It outlines the importance of coherence and access to agricultural information for innovation. CIARD brings together over 100 partners to coordinate efforts to disseminate research outputs through open systems and networks. The vision is a global network of public agricultural research information collections.
FAO and UNESCO-IOC have collaborated to create a customized version of DSpace called AgriOcean DSpace to support open access to scientific information. It combines the OceanDocs repository network supported by IOC with the AGRIS DSpace repository used for FAO's AGRIS network. AgriOcean DSpace enhances the submission process and includes authority control features. Support and distribution is provided to members of the FAO and IOC repository communities. Future work includes developing a thesaurus plugin and integrating AgriOcean DSpace with the Virtual Open Access Agriculture & Aquaculture Repository project.
Reflections on making EFSA an open science organisationNikos Manouselis
Slides of talk at the Workshop on e-Infrastructures supporting Food Safety Risk Assessment, hosted by the European Food Safety Authority (EFSA), Parma, May 13th, 2015.
Aqua-tnet is a multidisciplinary education network in Europe for aquaculture, fisheries, and aquatic resource management that has operated since 1996. Its principal aim is to support innovation and sustainable output in the sector through enhanced lifelong learning opportunities. It focuses on collaborating in areas such as MSc and PhD teaching materials, promoting student and staff mobility, researching skills requirements, and developing curriculum frameworks and innovative learning tools and methods. It also works to engage stakeholders from education, industry, research, and other sectors to support its mission.
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.
Johannes Keizer presented the outcomes of the eROSA project with researchers from the Agricultural Information Institute of CAAS (Chinese Academy of Agricultural Science)
This document discusses the role of thesauri and standard vocabularies in linking data on the semantic web. It explains how thesauri were traditionally used to ensure consistency in library indexing but are now being used as building blocks for the semantic web. The document outlines how AGROVOC, FAO's multilingual controlled vocabulary, has been converted to SKOS and linked to other vocabularies to facilitate integration of agricultural data from different sources on the semantic web. It also describes how AGROVOC is being used to semantically tag unstructured text by tools like AgroTagger to help structure and link more agricultural information online.
This document discusses FAO's AGROVOC multilingual thesaurus and its transition to linked open data. AGROVOC began as a traditional thesaurus but has evolved to an agricultural concept scheme linked to other datasets using semantic web standards like SKOS, RDF, and URIs. It has been converted to the SKOS model and is accessible via a web-based workbench for collaborative editing and management. The workbench allows editing of concept relationships, definitions, and translations. AGROVOC aims to become a central linked open data resource for the agricultural domain.
The document discusses Johannes Keizer's background and experience in data management. It describes his difficulty finding data from his PhD thesis after many years, highlighting the issue of disappearing data. The presentation emphasizes the importance of open data and infrastructure to ensure long-term access and reuse of critical agricultural knowledge and research data.
The document discusses interoperability in agricultural information systems and the need for international collaboration. It describes how the Food and Agriculture Organization (FAO) of the United Nations is working to create standards and services like Agrovoc and the Agricultural Ontology Service to enable semantic interoperability across cultures and languages. The Coherence in Information for Agricultural Research for Development (CIARD) initiative aims to create a community of practice that promotes common standards, tools and methodologies to improve global access to agricultural information.
This document discusses AGROVOC, an agricultural vocabulary that has been converted to Linked Open Data. It provides over 580,000 terms in 20 languages and is a global standard for describing agricultural information. As Linked Open Data, AGROVOC is now linked to other important online resources through common identifiers, allowing it to connect over 200 datasets that use these standard vocabularies. This linking of data through common web identifiers is shown to be a cornerstone for an information management infrastructure in agricultural research and innovation.
Making agricultural knowledge globally discoverable: are we there yet?Nikos Manouselis
This document discusses making agricultural knowledge globally accessible through open data initiatives. It describes Agro-Know's work in aggregating and organizing agricultural data from diverse sources to make it discoverable. Current efforts replicate work by harvesting, transforming and indexing data separately. The document envisions a large, open platform that catalogs all relevant agricultural information, makes it machine-readable and discoverable, and allows data to be shared and used to address societal challenges.
The document discusses AGROVOC, an agricultural vocabulary managed by FAO, and its role in an information infrastructure for agricultural research called agINFRA. It notes that AGROVOC contains 580,000 terms in 20 languages and is a global standard for describing agricultural information. Recently, AGROVOC has been linked to other important vocabularies as Linked Open Data, resulting in over 18,000 links being created in just 3 weeks and connecting hundreds of datasets that use these standard vocabularies. This linking of vocabularies through common web identifiers is crucial for integrating agricultural data on a global scale.
The document discusses the need for international collaboration on interoperability in agricultural information systems. It describes various initiatives including Agrovoc, the Agricultural Ontology Service, and CIARD that aim to develop common standards and shared vocabularies to improve semantic interoperability across repositories and languages. The ultimate goal is to make agricultural research information and knowledge truly accessible on a global level through linked open data principles and distributed yet interconnected knowledge organizations.
The document discusses VocBench, an open source project for a SKOS editor that allows for the collaborative management and maintenance of controlled vocabularies and thesauri. It presents VocBench as a tool for linking open vocabularies and data to enable greater semantic interoperability. The document also outlines VocBench's features and growing community of partners who are adopting it to manage their controlled vocabularies.
This document summarizes the AIMS team's work developing tools and standards for managing and publishing agricultural knowledge organization systems (KOS), including AGROVOC and VocBench. It describes the evolution of AGROVOC from a thesaurus into linked open data and the development of VocBench as a SKOS-compliant platform for collaborative knowledge management. It also provides an overview of how AGROVOC and other thesauri have been integrated into the larger AGROVOC linked open data cloud.
This document proposes collaboration between agencies like FAO, UNBIS, and EUROVOC to link their data through standard vocabularies like AGROVOC. It discusses developing AGROVOC and other vocabularies as SKOS-XL concept schemes and publishing them as linked open data. It also proposes using semantic technologies like AgroTagger to index agency publications and customize search engines. A working group is suggested to elaborate a project proposal.
2011 06 Ciard Introduction - English - BeijingCIARD
- The document discusses the CIARD initiative, which aims to make agricultural research information and knowledge truly accessible to all by coordinating efforts between organizations, promoting common formats, and adopting open systems.
- It outlines CIARD's vision of creating a global network of public agricultural research collections and lists its core values of advocating effective investment, establishing coherent systems, communicating content, and developing capacities.
- The document provides an overview of CIARD's activities since its launch in 2005, including regional consultations, task forces, and endorsements from organizations like GCARD and FARA.
T6: Partnership and Knowledge Sharing for DevelopmentFAO
T6: Making research and science reach farmers and end users - The above presentation was presented during the poster session for Market Place of the LWD in 17 December 2013. Agricultural Knowledge and Information Systems for Rural Development and Food Security Improvement, By Dr. Magdi Latif, Knowledge Outreach and Capacity Development Division - FAO of the United Nations, , Land and Water Days in Near East & North Africa, 15-18 December 2013, Amman, Jordan
Presented at the Interest Group on Agricultural Data (IGAD) ,3 April, 2017, Barcelona, Spain
Abstract: n this talk, we present the current status of our agriculture ontologies that are developed to accelerate the data use in agriculture.
The agriculture activity ontology formalizes the activities in agriculture. We have developed it for three years. Now we are developing its applications. One application is to exchange formats between different farmer management systems. Another ontology is the crop ontology that standardizes the names of crops. The structure is simple but has links to many other standards in distribution industry, food industry and so on.
2011-05 CIARD General Presentation - English - Bangladesh CIARD
The document discusses the CIARD (Coherence in Information for Agricultural Research for Development) initiative which aims to make public agricultural research information truly accessible to all. It outlines the importance of coherence and access to agricultural information for innovation. CIARD brings together over 100 partners to coordinate efforts to disseminate research outputs through open systems and networks. The vision is a global network of public agricultural research information collections.
FAO and UNESCO-IOC have collaborated to create a customized version of DSpace called AgriOcean DSpace to support open access to scientific information. It combines the OceanDocs repository network supported by IOC with the AGRIS DSpace repository used for FAO's AGRIS network. AgriOcean DSpace enhances the submission process and includes authority control features. Support and distribution is provided to members of the FAO and IOC repository communities. Future work includes developing a thesaurus plugin and integrating AgriOcean DSpace with the Virtual Open Access Agriculture & Aquaculture Repository project.
Reflections on making EFSA an open science organisationNikos Manouselis
Slides of talk at the Workshop on e-Infrastructures supporting Food Safety Risk Assessment, hosted by the European Food Safety Authority (EFSA), Parma, May 13th, 2015.
Aqua-tnet is a multidisciplinary education network in Europe for aquaculture, fisheries, and aquatic resource management that has operated since 1996. Its principal aim is to support innovation and sustainable output in the sector through enhanced lifelong learning opportunities. It focuses on collaborating in areas such as MSc and PhD teaching materials, promoting student and staff mobility, researching skills requirements, and developing curriculum frameworks and innovative learning tools and methods. It also works to engage stakeholders from education, industry, research, and other sectors to support its mission.
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.
Johannes Keizer presented the outcomes of the eROSA project with researchers from the Agricultural Information Institute of CAAS (Chinese Academy of Agricultural Science)
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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".
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.
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.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Communicating effectively and consistently with students can help them feel at ease during their learning experience and provide the instructor with a communication trail to track the course's progress. This workshop will take you through constructing an engaging course container to facilitate effective communication.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
BÀI TẬP BỔ TRỢ TIẾNG ANH LỚP 9 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2024-2025 - ...
Aos china keizer-2010-10-30
1. 10 years Agricultural
Ontology Initiative:
Building Blocks for a
Linked Data Infrastructure
Dr. Johannes Keizer
FAO of the United Nations
Office of Knowledge Exchange, Research and Extension
Team Leader “Knowledge Standards and Services”
2. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
The Internet!
3. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
4. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
Aggregation States of Knowledge
5. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
Data Flows and Repositories in
Research
6. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
“... FAO’s principle task is to work
to ensure that the world’s
knowledge of food and
agriculture is available to those
who need it when they need it
and in a form which they can
access and use ...”
7. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
AOS Vision in 2001
8. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
..from thesaurus to Ontologies….
9. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
Our push of AGROVOC to the Semantic Web had
enormous positive effects, among others
From 4 to 20 language versions
Defacto standard for indexing in many areas
More than 2000 downloads only in 2009
SKOS incorporated all our requirements
For many purposes we need semantics on a lower
level than of a fully elaborated ontology – but we
need them urgently
The development of specific Ontologies should be
always application driven – a demand economy
Lessons Learned
10. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
AOS - Today
SemanticsTools
Linked DataCommunity
11. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
Community
12. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
The AOS Community
13. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
http://aims.fao.org/community/home
14. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
Better Semantics
15. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
around 30,000 concepts
600000 labels in around 20 languages.
one-stop shop for terminological knowledge related to
agriculture in general
a knowledge base of related concepts organized in
ontological relationships (hierarchical, associative,
equivalence)
Is a concept/term/string based system
Concepts may be organized in multiple categories.
AGROVOC concept scheme
16. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
Further schemes
in FAO
skos:broader
:bar
has_synonym
has_translation
skos:literalForm “maize”
:foo
maïs (fr)
:foo
has_synonym
skos:literalForm “corn”
:bar
8171
1474
skosxl:altLabel
skosxl:prefLabel
skos:broader
has_synonym
SKOS Label
The AGROVOC concept scheme
SKOS
Concept
rdf:type
rdf:type
6211
skos:broader
AGROVOC
Concept
Scheme
skos:topConceptOf
skos:inScheme
Another scheme
in FAO
Other scheme
in FAO
skos:inScheme
12332
17. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
Work Expression Manifestation Item
Subjects
Corporate
Bodies
Conferences Journals
Series
FAO Projects
FAO FRBR Model & Authority Data
18. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
isSpatiallyIncludedIn
isPublishedBy
isOtherLanguageEditionOf
isFollowedBy/Follows
EXAMPLE: JOURNAL CONTENT MODEL
19. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
A Model to create Linked Data
Rich set of relationships
Easier implementation of concept-based thesauri and
authority data
20. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
Geopolitical Ontology
OEKM FAO of the UN 20
21. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
Fishery Ontologies
22. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
What Partners have done…..
Rice Knowledge Models
Rice Production Ontology
ASFA Thesaurus
VIVO Ontologies
Look to the many presentations on this
workshop
23. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
Tools
24. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
The Concept Scheme Work Bench
25. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
Drupal
AgriDrupal is a “suite of solutions” for agricultural information
management and dissemination, built on the Drupal CMS by different
Institutions and individuals who are now sharing their experiences in the
AgriDrupal community
Drupal, a semantic web enabled CMS
General purpose CMS necessary
Drupal has flexibility to manage all information types
Drupal has a strong user community
Version 7 natively with RDF backbone, but semantic applications
already possible with version 6
Drupal can be a producer and consumer of Linked Data
26. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
Drupal Query run on a Drupal website
from a Virtuoso test environment
at http://demo.openlinksw.com/sparql_demo/
SPARQL endpoint
RDF triples
Drupal website
27. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
• Objectives:
• Assure quality in metadata creation
• Sharing information in a standardized manner
• Use of common semantics and interoperable
syntaxes
• Use of more sophisticated and specialized
metadata
• Use of controlled, multilingual vocabularies
• Requirements:
• AGRIS AP compliancy
• AGROVOC
AgriOcean Dspace – a tool for Repositories
28. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
AgriOceanDspace – Thesaurus plug in
• Developed by Kasetsart University (Bangkok,
Thailand)
• Thesaurus plug-in
o Web services: use local or remote version of AGROVOC
thesaurus/SKOS
29. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
Linking Data
30. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
The Linked Data Universe:
http://www.linkeddata.org (july 2010)
31. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
http://agris.fao.org/agris-search/search/display.do?f=2004/ZA/ZA04002.xml;ZA2004000049
32. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
AGROVOC EUROVOC UNBIS Relationship
http://aims.fao.
org/aos/agrovoc
/c_207
http://eurovoc
.europa.eu/21
9055
agroforestry skos:exactMatch
/ owl:sameAs
http://aims.fao.
org/aos/agrovoc
/c_4826
http://eurovoc
.europa.eu/22
0018
MILK skos:exactMatch
/ owl:sameAs
http://aims.fao.
org/aos/agrovoc
/c_12332
http://eurovoc
.europa.eu/21
9871
MAIZE skos:exactMatch
/ owl:sameAs
Linking vocabularies
33. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
http://aims.fao.org/aos/agrovoc/c_7825
http://eurovoc.europa.eu/218754
34. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
http://eurovoc.europa.eu/
219871
Maize
skosxl: literalForm
Maize
http://aims.fao.org/ao
s/agrovoc/c_12332
AGROVOC
skosxl: literalForm
Maize
http://aims.fao.org/aos/agrovoc/c_12332 owl:sameAs http://eurovoc.europa.eu/219871
owl:sameAs/exactMatch
http://agris.fao.org/agris-
search/search/display.do?f=1996
/TR/TR96001.xml;TR9600026
Linking data through common URIs
skosxl: literalForm
owl:sameAs/exactMatch
http://eur-
lex.europa.eu/LexUriServ/LexUriSe
rv.do?uri=OJ:L:2010:202:0011:001
5:EN:PDF
http://unbisnet.un.org:8080/ipac20/ipac.j
sp?session=128F308557F34.283092&pr
ofile=bib&uri=full=3100001~!685149~!1&
ri=1&aspect=subtab124&menu=search&
source=~!horizon
Maize
Eurovoc
UNBIS
35. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
What are we doing with unstructured data?
• We have enormous amounts of unstructured
material
• Still most of the documents that we are producing
are mostly semantically unstructured
• Human work to catalogue and index is becoming
always more rare
• We need machines to do automatic semantic mark
ups of text
• If machines are trained and based on concept
schemes, ther are able to do so
36. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
37. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
• Does Concept identification in unstructured
texts
• Uses Agrovoc as a controlled vocabulary
• Prototype under testing with excellent results
(entire repository of ICARDA indexed)
• Will produce in future Structured RDF files
that can be used to link data like “open
Calais”
•
AgroTagger
38. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
39. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
40. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
41. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
Life Demo: Semantic mark ups:
http://viewer.opencalais.com/
http://agropedialabs.iitk.ac.in/Tagger/Agrotagger_text.php
42. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
The CIARD RING
43. dr johannes keizer - FAO of the United Nations - knowledge and capacity for development
Chinese Agricultural Ontology Service WS, Beijing 2010-10-30
AGRIS Linked Data
Thisis the AGROVOC SKOS modelthathasbeendeveloped and decided in April 2010 under activecollaborationfrom Tom Baker, whowasmemberof the W3C SKOS workinggroup.
AgriOceanDspace release: 09/2010Setting up of AgriOceanDspace Community on AIMS: 09-10/2010exchange of experiencesPilot Testing: “Bangladesh Agricultural Universities’ Institutional Repository”Cooperation with DURASPACEInforming about the new AgriOceanDspace implementationsCollaborating in the Dspace Ambassadors Program
Thisis a snapshotoneyearlater. The growthisenormous. A centralpointisDBPedia, “triplified” information fromWikipedia. The differentcoloursrepresent the different information types, being “life sciences” and “publications” the mostpopulatedareas, butwith the area “government” stronglygrowingInterestingnewcomers in the last months are the two VIVO datasetsfrom the UnitedStatesdescriping expertise in Science. Vivo isactually a project thatstarted the agriculturallibraryofCornellUniversity
In a bibliographical record thereismuch more hidden information thandisplayedwith the metadata. Manyof the highlystructured data are linkingtoother information on the web. In AGRIS wehavenowintroducedsomethingwhatwecall “naivelinking”. An AGRIS record linksautomaticallyto Google Mapsfor the location of the center and to Google toretrieve the full text of the resource, citationlists or otherpublicationsfrom the authors. Thisoftenworks, butclearlynotalway, s asitisnotcontrolledbysemantics, butonlythroughidentyofstrings. Foranuneducatedmachineunfortunately COW and C.O.W. are the same, whereaspeanuts and groundnuts are somethingdifferent.
The tableshows 3 descriptorsthat are in AGROVOC, EUROVOC and UNBIS. In AGROVOC and EUROVOC they are alreadyencodedasURIs. Easilywecouldestablishrelationshipslikeowl.sameAsbetween the concepts or skos:exactMatchbetweenlabels.
Ifresources are marked up withsemanticallydefined and machinereadableconcepts, they can belinked and mashed up preciselyaswehaveseen in the examplefrom the BBC.In thisexamplewe start withan AGRIS record on Hazardouswaste, whichisindexedwith AGROVOC. Alreadynowwe can easily link to material indexedwithEurovoc, hereanexamplefromEuroLex. If the UNBIS thesaurus wouldberestructuredto a conceptscheme and publishedas LOD, related UN documentscouldbeattachedautomaticallyby the machine.
How does this work: A resource is connected with each concept URI in the web. The concepts between three vocabularies are having same literal which is connected with owl:sameAS/exactMatch relationship. As we are speakingaboutthesauri and notontologieswekept the relation tobechosenpurposelyvague. The conceptscouldbematchedwithowl:sameAS or the termscouldbematcheswith SKOS:exactMatch. A lotofdiscussion on thisisongoing
Oneof the groundbreakingenterprises in this area isThomsonReuters “Open Calais”. Thisis a webservicethatprovidessemanticmark up foranyunstructured text thatyoufeedintotheir service The service is free ofCharge. Why? I will show youlater.
My team in collaborationwith the IndianInstituteofTechnology in Kanpur isdeveloping a similar service foroursubject area.
Wehavehere a text from 1964 without a bibliographic record at handabout a plantprotectionissue
Open Calais isverygood in thoseareas, in whichtheyhavetheirownelaboratedconceptschemeagainstwhich the texts are analyzed: “Places”, “Persons”, “Business Processes” , “IndustryTerms”, butitisweak in the specifictopicanalysis, whattheycall “social tags”
AgroTaggerstilllacksmanyof the sophisticated featuresof “Open Calais” ,butismuch, muchbetter in the subjectanalysisof the text