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The first edition of The AGROVOC Editorial Guidelines 2020 (FAO, 2020) was published to share clear, concise and agreed guidelines to guarantee consistency and coherence on selection of concepts and terms. Focus areas included whether to use the singular or plural in each language, how to deal with proper names, scientific names, and geographical names, etc. In 2021, an AGROVOC Editorial Guidelines task force, with members from Empresa Brasileira de Pesquisa Agropecuária, Kuratorium für Technik und Bauwesen in der Landwirtschaft e.V. and FAO, continued to deepen editorial discussions, which resulted in the second edition of The AGROVOC Editorial Guidelines 2020. In this second edition, additional guidance has been added on scientific names, spelling, definitions and more. This guide is a set of editorial recommendations for adding content to AGROVOC, with a strong focus on multilingual aspects. The guidelines also apply to sub-vocabularies in AGROVOC.

AGROVOC

Food and Agriculture Organization of the United Nations

Published: 2021-01-19

Total Pages: 72


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Since the early 1980’s, the Food and Agriculture Organization of the United Nations (FAO) has coordinated AGROVOC, a valuable tool for classifying data homogeneously, facilitating interoperability and reuse. AGROVOC is a multilingual and controlled vocabulary designed to over 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 greatest impact is through providing the access and visibility of data across domains and languages.
Invited talks -- Ontology alignment -- Ontology engineering -- Ontology evaluation -- Ontology evolution -- Ontology learning -- Rules and reasoning -- Searching and querying -- Semantic annotation -- Semantic web mining and personalization -- Semantic web services -- Semantic wiki and blogging -- Trust and policies.
This book constitutes the refereed proceedings of the 12th Extended Semantic Web Conference, ESWC 2014, held in Anissaras, Portoroz, Slovenia, in May/June 2015. The 43 revised full papers presented together with three invited talks were carefully reviewed and selected from 164 submissions. This program was completed by a demonstration and poster session, in which researchers had the chance to present their latest results and advances in the form of live demos. In addition, the PhD Symposium program included 12 contributions, selected out of 16 submissions. The core tracks of the research conference were complemented with new tracks focusing on linking machine and human computation at web scale (cognition and Semantic Web, Human Computation and Crowdsourcing) beside the following subjects Vocabularies, Schemas, Ontologies, Reasoning, Linked Data, Semantic Web and Web Science, Semantic Data Management, Big data, Scalability, Natural Language Processing and Information Retrieval, Machine Learning, Mobile Web, Internet of Things and Semantic Streams, Services, Web APIs and the Web of Things, Cognition and Semantic Web, Human Computation and Crowdsourcing and In-Use Industrial Track as well.
This book offers readers a comprehensive guide to the evolution of the database field from its earliest stages up to the present—and from classical relational database management systems to the current Big Data metaphor. In particular, it gathers the most significant research from the Italian database community that had relevant intersections with international projects. Big Data technology is currently dominating both the market and research. The book provides readers with a broad overview of key research efforts in modelling, querying and analysing data, which, over the last few decades, have became massive and heterogeneous areas.
The general objective of the thesis is to provide domain independent, and resource independent methods and tools for speeding up the ontology development process and is achieved by reusing and re-engineering as much as possible available non-ontological resources (NORs). To fulfil this overall goal, we have decomposed it into the following methodological and technological objectives: - The definition of methodological aspects related to the reuse of non-ontological resources for building ontologies. - The definition of methodological aspects related to the re-engineering of non-ontological resources for building ontologies. - The creation of a library of patterns for re-engineering non-ontological resources into ontologies. - The development of a software library, NOR2O, that implements the suggestions given by the re-engineering patterns.
This textbook addresses the most recent advances and main digital technologies used in farming. The reader will be able to understand the main concepts and techniques currently used to efficiently manage agricultural production systems. The book covers topics in a general and intuitive way, with examples and good illustrations.
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