7 research outputs found

    AGROVOC: The linked data concept hub for food and agriculture

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    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 plac

    Linguistic Watermark 3.0: an RDF framework and a software library for bridging language and ontologies in the Semantic Web

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    Abstract. In this paper, we present a framework for representing heterogeneous linguistic resources and for integrating their content with Semantic Web ontologies. This work, which extends and improves previous research conducted by these same authors, articulates into two main results: first, a set of coordinated RDF vocabularies providing descriptors for representing linguistic resources and their software counterparts, as well a collection of metadata for describing the linguistic enrichment of ontologies, both on quantitative and qualitative grounds. The second result is a software library for accessing resources described according to the above vocabularies and for evaluating the quality of linguistically enriched ontologies. 1

    Collaborative Development of Multilingual Thesauri with VocBench (System Description and Demonstrator)

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    VocBench is an open source web application for editing of SKOS and SKOS-XL thesauri, with a strong focus on collaboration, supported by workflow management for content validation and publication. Dedicated user roles provide a clean separation of competences, addressing different specificities ranging from management aspects to vertical competences on content editing, such as conceptualization versus terminology editing. Extensive support for scheme management allows editors to fully exploit the possibilities of the SKOS model, as well as to fulfill its integrity constraints. We describe here the main features of VocBench, which will be shown along the demo held at the ESWC15 conferenc

    Maskkot – An Entity-centric Annotation Platform

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    The Semantic Web is facing the important challenge to maintain its promise of a real world-wide graph of interconnected resources. Unfortunately, while URIs almost guarantee a direct reference to entities, the relation between the two is not bijective. Many different URI references to same concepts and entities can arise when-- in such a heterogeneous setting as the WWW-- people independently build new ontologies, or populate shared ones with new arbitrarily identified individuals. The proliferation of URIs is an unwanted, though natural effect strictly bound to the same principles which characterize the Semantic Web; reducing this phenomenon will improve the recall of Semantic Search engines, which could rely on explicit links between heterogeneous information sources. To address this problem, in this paper we present an integrated environment combining the semantic annotation and ontology building features available in the Semantic Turkey web browser extension, with globally unique identifiers for entities provided by the okkam Entity Name System, thus realizing a valuable resource for preventing diffusion of multiple URIs on the (Semantic) Web. 1
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