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ArticleMigrating Bibliographic Datasets to the Semantic Web: the AGRIS case 2010
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No results found.AGRIS is among the most comprehensive online collections of agricultural and related sciences information. It is a growing glob-al catalog of 5 million high-quality structured bibliographic records indexed from a worldwide group of providers. AGRIS relies heavily on the AGROVOC thesaurus for its indexing. Following the conversion of that thesaurus into a SKOS concept-scheme and its publication as Linked Open Data (LOD), the entire set of AGRIS records was also triplified and released as LOD. As part of this exercise, OpenAGRIS, a semantic mashup application, was developed to dynamically combine AGRIS data with external data sources, using a mixture of SPARQL queries and web services. The re-engineering of AGRIS for the Semantic Web raised numerous issues regarding the relative lack of administrative metadata required to compellingly address the proof and trust layers of the Semantic Web stack, both within the AGRIS repository and in the external data pulled into OpenAGRIS. The AGRIS te am began a process of disambiguation and enrichment to continue moving toward an entity-based view of its resources, beginning with the tens of thousands of journals attached to its records. The evolution of the system, the issues raised during the triplification process and the steps necessary for publishing the result as LOD content are hereby discussed and evaluated. -
BookletAGROVOC 1: Data sharing, interoperability and knowledge organization systems 2023
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No results found.In this publication the principles and benefits of data sharing and interoperability have been introduced. The FAIR principles have been highlighted, with their context in data sharing frameworks. Openness in the context of data has been explained. Different types of vocabularies have been noted, along with the role of Knowledge Organization Systems (KOS) in the data management and sharing framework. To be useful, data need to be open and interoperable. The Open Data Scheme and the FAIR principles describe the level of “openness” of vocabularies. Different types of vocabularies exist, which differ by their level of expressiveness. The Resource Description Framework (RDF) model uses triples of subject – predicate – object to build a vocabulary. AGROVOC is a KOS based on RDF. -
ArticleAGROVOC: The linked data concept hub for food and agriculture 2022
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No results found.Newly acquired, aggregated and shared data are essential for innovation in food and agriculture to improve the discoverability of research. Since the early 1980′s, the Food and Agriculture Organization of the United Nations (FAO) has coordinated AGROVOC, a valuable tool for data to be classified homogeneously, facilitating interoperability and reuse. AGROVOC is a multilingual and controlled vocabulary designed to cover concepts and terminology under FAO's areas of interest. It is the largest Linked Open Data set about agriculture available for public use and its highest impact is through facilitating the access and visibility of data across domains and languages. This chapter has the aim of describing the current status of one of the most popular thesaurus in all FAO’s areas of interest, and how it has become the Linked Data Concept Hub for food and agriculture, through new procedures put in place.
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