J
Johannes Keizer
Researcher at Food and Agriculture Organization
Publications - 85
Citations - 1173
Johannes Keizer is an academic researcher from Food and Agriculture Organization. The author has contributed to research in topics: Metadata & Thesaurus (information retrieval). The author has an hindex of 18, co-authored 84 publications receiving 1116 citations. Previous affiliations of Johannes Keizer include United Nations.
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Journal Article
Reengineering Thesauri for New Applications: the AGROVOC Example
TL;DR: A conceptual structure and transition procedure to support the shift from a traditional KOS towards a full-fledged and semantically rich KOS is presented and the rules-as-you-go approach to streamlining the reengineering process is explored.
Journal ArticleDOI
The AGROVOC Linked Dataset
Caterina Caracciolo,Armando Stellato,Ahsan Morshed,Gudrun Johannsen,Sachit Rajbhandari,Yves Jaques,Johannes Keizer +6 more
TL;DR: A brief historical summary of AGROVOC is provided and its specification as a Linked Dataset is detailed, containing links as well as backlinks and references to many other LinkedDatasets in the LOD cloud.
Journal ArticleDOI
Thesaurus maintenance, alignment and publication as linked data: the AGROVOC use case
Caterina Caracciolo,Armando Stellato,Sachit Rajbahndari,Ahsan Morshed,Gudrun Johannsen,Johannes Keizer,Yves Jaques +6 more
TL;DR: The AGROVOC multilingual thesaurus maintained by the Food and Agriculture Organisation of the United Nations is now published as linked data and current and future applications and directions are discussed.
Book ChapterDOI
VocBench: A Web Application for Collaborative Development of Multilingual Thesauri
Armando Stellato,Sachit Rajbhandari,Andrea Turbati,Manuel Fiorelli,Caterina Caracciolo,Tiziano Lorenzetti,Johannes Keizer,Maria Teresa Pazienza +7 more
TL;DR: VocBench is introduced, an open source web application for editing thesauri complying with the SKOS and SKOS-XL standards, and is evaluated under both a functional and user-appreciation ground, through a comparison with state-of-the-art and user questionnaires analysis.
Posted ContentDOI
Comparing human and automatic thesaurus mapping approaches in the agricultural domain
Boris Lauser,Gudrun Johannsen,Caterina Caracciolo,Johannes Keizer,Willem Robert van Hage,Philipp Mayr +5 more
TL;DR: In this paper, the authors examined two mapping approaches involving the agricultural thesaurus AGROVOC, one machine-created and one human created, and pointed out the difficulties in specific cases or groups of cases and grouped the sample into simple and difficult types of mappings.