BiodivPortal: Enabling Semantic Services for Biodiversity within the German National Research Data Infrastructure
Uložené v:
| Názov: | BiodivPortal: Enabling Semantic Services for Biodiversity within the German National Research Data Infrastructure |
|---|---|
| Autori: | Karam, Naouel, Fillies, Jan, Jonquet, Clement, Bouazzouni, Syphax, Löffler, Felicitas, Zander, Franziska, König-Ries, Birgitta, Güntsch, Anton, Diepenbroek, Michael, Paschke, Adrian |
| Prispievatelia: | Jonquet, Clement, Institute for Applied Informatics Leipzig (INFAI), Leipzig University / Universität Leipzig, Freie Universität Berlin, WEB Architecture x Semantic WEB x WEB of Data (LIRMM, Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie (MISTEA), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Thüringer Finanzministerium, Friedrich-Schiller-Universität = Friedrich Schiller University Jena Jena, Germany, German Centre for Integrative Biodiversity Research (iDiv), Free University of Berlin (FU), German Federation for Biological Data (GFBIO), Fraunhofer Institute for Open Communication Systems (Fraunhofer FOKUS), Fraunhofer (Fraunhofer-Gesellschaft), ANR-18-CE23-0017,D2KAB,Des Données aux Connaissances en Agronomie et Biodiversité(2018) |
| Zdroj: | Datenbank-Spektrum. 24:129-137 |
| Informácie o vydavateľovi: | Springer Science and Business Media LLC, 2024. |
| Rok vydania: | 2024 |
| Predmety: | Data Integration, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Research Data Infrastructure, [INFO.INFO-WB] Computer Science [cs]/Web, [INFO.INFO-WB]Computer Science [cs]/Web, [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, Terminology Service, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Data Harmonization, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], Ontologies, Terminology Repository, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], Taxonomies |
| Popis: | Research has become increasingly reliant on extensive data. The integration, sharing and reuse of research data poses a significant challenge, particularly in the context of interdisciplinary collaborative projects. An essential objective for a research infrastructure dedicated to data management is to facilitate efficient data discovery and integration of diverse data sources. This pressing need for FAIR data requires, besides persistent identifiers and data citation rules, common standards and shared vocabularies, thesauri and ontologies. These knowledge artifacts, referred to as terminologies, often exist in disconnected and distributed forms. The work presented in this paper describes our terminology repository and service, enabling a unified access, development, and maintenance of terminologies within biodiversity and environmental sciences. We characterize use cases requirements for semantically enhanced components and applications and show where the adoption of the OntoPortal technology enabled us to cover those requirements in the context of our research infrastructure. |
| Druh dokumentu: | Article |
| Popis súboru: | application/pdf |
| Jazyk: | English |
| ISSN: | 1610-1995 1618-2162 |
| DOI: | 10.1007/s13222-024-00474-5 |
| Prístupová URL adresa: | https://hal.science/hal-04608953v1 https://doi.org/10.1007/s13222-024-00474-5 https://hal.science/hal-04608953v1/document |
| Rights: | Springer Nature TDM |
| Prístupové číslo: | edsair.doi.dedup.....555b8441c3b1157f441a19ec05e141ff |
| Databáza: | OpenAIRE |
Full Text Finder 
Nájsť tento článok vo Web of Science | Abstrakt: | Research has become increasingly reliant on extensive data. The integration, sharing and reuse of research data poses a significant challenge, particularly in the context of interdisciplinary collaborative projects. An essential objective for a research infrastructure dedicated to data management is to facilitate efficient data discovery and integration of diverse data sources. This pressing need for FAIR data requires, besides persistent identifiers and data citation rules, common standards and shared vocabularies, thesauri and ontologies. These knowledge artifacts, referred to as terminologies, often exist in disconnected and distributed forms. The work presented in this paper describes our terminology repository and service, enabling a unified access, development, and maintenance of terminologies within biodiversity and environmental sciences. We characterize use cases requirements for semantically enhanced components and applications and show where the adoption of the OntoPortal technology enabled us to cover those requirements in the context of our research infrastructure. |
|---|---|
| ISSN: | 16101995 16182162 |
| DOI: | 10.1007/s13222-024-00474-5 |