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In the upcoming years, the internet of things (IoT)will enrich daily life. The combination of artificial intelligence(AI) and highly interoperable systems will bring context-sensitive multi-domain services to reality. This paper describesa concept for an AI-based smart living platform with open-HAB, a smart home middleware, and Web of Things (WoT) askey components of our approach. The platform concept con-siders different stakeholders, i.e. the housing industry, serviceproviders, and tenants. These activities are part of the Fore-Sight project, an AI-driven, context-sensitive smart living plat-form.
The European Journal of Taxonomy (EJT) is a decade-old journal dedicated to the taxonomy of living and fossil eukaryotes. Launched in 2011, the EJT published exactly 900 articles (31 778 pages) from 2011 to 2021. The journal has been processed in its entirety by Plazi, liberating the data therein, depositing it into TreatmentBank, Biodiversity Literature Repository and disseminating it to partners, including the Global Biodiversity Information Facility (GBIF) using a combination of a highly automated workflow, quality control tools, and human curation. The dissemination of original research along with the ability to use and reuse data as freely as possible is the key to innovation, opening the corpus of known published biodiversity knowledge, and furthering advances in science. This paper aims to discuss the advantages and limitations of retro-conversion and to showcase the potential analyses of the data published in EJT and made findable, accessible, interoperable and reusable (FAIR) by Plazi. Among others, taxonomic and geographic coverage, geographical distribution of authors, citation of previous works and treatments, timespan between the publication and treatments with their cited works are discussed. Manually counted data were compared with the automated process, the latter being analysed and discussed. Creating FAIR data from a publication results in an average multiplication factor of 166 for additional access through the taxonomic treatments, figures and material citations citing the original publication in TreatmentBank, the Biodiversity Literature Repository and the Global Biodiversity Information Facility. Despite the advances in processing, liberating data remains cumbersome and has its limitations which lead us to conclude that the future of scientific publishing involves semantically enhanced publications.
The adoption of a consistent alien species pathways categorization, hierarchy and terminology is crucial for increasing the interoperability of different online databases. In the present paper the European Alien Species Information Network (EASIN) classification system of pathways is compared and discussed with the classification scheme recently published by the Convention on Biological Diversity (CBD). Although the main pathway categories of the two classifications overall match, there are substantial differences in their subcategorization, with EASIN including 20 pathway subcategories while CBD considers 44 subcategories. In most cases, each EASIN subcategory pathway can correspond to two or more CBD subcategories. About 5,500 species listed in EASIN do not match directly with the CBD pathway subcategories, most of which are terrestrial invertebrates. Aiming at achieving synchronization between the two classification systems and at facilitating the access to information to researchers and policy makers, EASIN is trying to align with the CBD pathway classification scheme. This alignment process requires the involvement of a large number of experts, especially from the terrestrial realm, and the adoption of commonly accepted definitions of the CBD pathways.