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Abstract

We are proud to announce DBpedia Archivo (https://archivo.dbpedia.org) an augmented ontology archive and interface to implement FAIRer ontologies. Each ontology is rated with 4 stars measuring basic FAIR features. We discovered 890 ontologies reaching on average 1.95 out of 4 stars. Many of them have no or unclear licenses and have issues w.r.t. retrieval and parsing.

Content

# Community action on individual ontologies We would like to call on all ontology maintainers and consumers to help us increase the average star rating of the web of ontologies by fixing and improving its ontologies. You can easily check an ontology at https://archivo.dbpedia.org/info. If you are an ontology maintainer just release a patched version - archivo will automatically pick it up 8 hours later. If you are a user of an ontology and want your consumed data to become FAIRer, please inform the ontology maintainer about the issues found with Archivo. The star rating is very basic and only requires fixing small things. However, theimpact on technical and legal usability can be immense.
# Community action on all ontologies (quality, FAIRness, conformity) Archivo is extensible and allows contributions to give consumers a central place to encode their requirements. We envision fostering adherence to standards and strengthening incentives for publishers to build a better (FAIRer) web of ontologies. 1. SHACL (https://www.w3.org/TR/shacl/, co-edited by DBpedia's CTO D. Kontokostas) enables easy testing of ontologies. Archivo offers free SHACL continuous integration testing for ontologies. Anyone can implement their SHACL tests and add them to the SHACL library on Github. We believe that there are many synergies, i.e. SHACL tests for your ontology are helpful for others as well. 2. We are looking for ontology experts to join DBpedia and discuss further validation (e.g. stars) to increase FAIRness and quality of ontologies. We are forming a steering committee and also a PC for the upcoming Vocarnival at SEMANTiCS 2021. Please message hellmann@informatik.uni-leipzig.de <mailto:hellmann@informatik.uni-leipzig.de>if you would like to join. We would like to extend the Archivo platform with relevant visualisations, tests, editing aides, mapping management tools and quality checks.
# How does Archivo work? Each week Archivo runs several discovery algorithms to scan for new ontologies. Once discovered Archivo checks them every 8 hours. When changes are detected, Archivo downloads and rates and archives the latest snapshot persistently on the DBpedia Databus. # Archivo's mission Archivo's mission is to improve FAIRness (findability, accessibility, interoperability, and reusability) of all available ontologies on the Semantic Web. Archivo is not a guideline, it is fully automated, machine-readable and enforces interoperability with its star rating. - Ontology developers can implement against Archivo until they reach more stars. The stars and tests are designed to guarantee the interoperability and fitness of the ontology. - Ontology users can better find, access and re-use ontologies. Snapshots are persisted in case the original is not reachable anymore adding a layer of reliability to the decentral web of ontologies.

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Abstract

While thousands of ontologies exist on the web, a unified sys-tem for handling online ontologies - in particular with respect to discov-ery, versioning, access, quality-control, mappings - has not yet surfacedand users of ontologies struggle with many challenges. In this paper, wepresent an online ontology interface and augmented archive called DB-pedia Archivo, that discovers, crawls, versions and archives ontologies onthe DBpedia Databus. Based on this versioned crawl, different features,quality measures and, if possible, fixes are deployed to handle and sta-bilize the changes in the found ontologies at web-scale. A comparison toexisting approaches and ontology repositories is given.

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Footnote

Vgl. Ankündigung in: nfd Information - Wissenschaft und Praxis. 54(2003) H.8, S.452.

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Content

Fortsetzung als WTI-Thesaurus: "Mit dem Thesaurus Technik und Management (TEMA) bietet wir Ihnen die umfangreichste strukturierte Sammlung des aktuellen Fachwortschatzes zur Technik und zum produktionsorientierten Management in deutscher und englischer Sprache. Der Thesaurus TEMA bietet Ihnen eine Verschlagwortung innerhalb unserer Datenbanken. Zudem können Sie dieses effiziente Hilfsmittel für Ihre Recherchen in großen Informationsbasen anderer Anbieter und Unternehmen einsetzen. Bereits Ihr Einstieg in die Informationssuche wird wesentlich leichter. Lassen Sie sich über den Thesaurus relevante Suchbegriffe sowie unter- und übergeordnete Begriffe komfortabel anzeigen. Mit den hinterlegten Synonymen erweitern und vervollständigen Sie Ihre Suche qualifiziert. Darüber hinaus bietet Ihnen dieses geniale Werkzeug weiteren Mehrwert. Der Thesaurus macht Sie über Verweise auf Begriffe aufmerksam, die direkten Bezug zu Ihrem Recherchethema haben. Angesichts der zunehmenden Informationsflut, die Sie in Unternehmen heute zu bewältigen haben, spielt der Einsatz klar strukturierter Terminologien in Verbindung mit Datenbanken, Information Management und Document Management Systemen für das interne Wissensmanagement eine immer größere Rolle. Zugleich können Sie auf dieser Grundlage interne und externe Informationen besser integrieren. Der Thesaurus TEMA wird von WTI fortlaufend gepflegt und in einem Gemeinschaftsprojekt mit der Technischen Informationsbibliothek Hannover (TIB) zu einer Ontologie "Technik" weiterentwickelt. WTI bietet Ihnen den Thesaurus TEMA oder einzelne Fachteile daraus zum Kauf an und unterstützt Sie bei seiner Einbindung in Ihre firmeninternen Informationssysteme. Vgl.: http://www.wti-frankfurt.de/de/thesaurus.

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Content

Der MeSH ist ein polyhierarchisches, konzeptbasiertes Schlagwortregister für biomedizinische Fachbegriffe umfasst das Vokabular, welches in den NLM-Datenbanken, beispielsweise MEDLINE oder PubMed, erscheint. Er wird jährlich aktualisiert von der U. S. National Library of Medicine herausgegeben. Für die deutschsprachige Fassung übersetzt ZB MED dann die jeweils neu hinzugekommenen Terme und ergänzt sie um zusätzliche Synonyme. Erstmalig erstellte ZB MED den Deutschen MeSH im Jahr 2020. Vorher lag die Verantwortung beim Deutschen Institut für Medizinische Dokumentation und Information (DIMDI/BfArM)."