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WeightNameValue
1000 Titel
  • Bioschemas – Deploying and Harvesting Markup
1000 Autor/in
  1. Gaignard, Alban |
  2. Castro, Leyla Jael |
  3. Gray, Alasdair |
1000 Erscheinungsjahr 2022
1000 Publikationstyp
  1. Kongressschrift |
1000 Online veröffentlicht
  • 2022-03-15
1000 Erschienen in
1000 Übergeordneter Kongress
1000 Lizenz
1000 Verlagsversion
  • http://www.swat4ls.org/workshops/leiden2022/scientific-programme2022/tutorials#Bioschemas_Deploying_and_Harvesting_Markup |
1000 Ergänzendes Material
  • https://bioschemas.org/meetings/2022-01_SWAT4HCLS_leiden |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Bioschemas makes life sciences resources more discoverable by embedding machine readable markup within web pages. The markup uses the Schema.org vocabulary which has been extended to include life sciences specific types such as Gene, MolecularEntity, and Taxon. The vocabulary enables a high-level overview of the content of each page, e.g. basic information about a Gene, Protein, or Drug, to be provided in an interoperable, machine-processable form. Embedded markup can be harvested by search engines and other applications without needing to understand separate APIs for each resource. The extracted markup can be integrated and used to power specialised search portals, e.g. TeSS, fed into global knowledge graphs, e.g. OpenAIRE, or used to form domain specific knowledge graphs, e.g. IDP-KG. In this tutorial you will be given an overview of Bioschemas, covering the types that have been included into Schema.org, the usage profiles that have been agreed over these types, and the new types and profiles that the community are working on. We will then cover how to deploy markup within a web page so that the page and the whole site become more discoverable on the Web. Finally, we will discuss how to harvest data from websites and what considerations there are in reusing that data for search portals or knowledge graph construction.
1000 Fächerklassifikation (DDC)
1000 DOI 10.4126/FRL01-006432243 |
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-3597-8557|https://orcid.org/0000-0003-3986-0510|https://orcid.org/0000-0002-5711-4872
1000 Label
1000 Förderer
  1. ELIXIR |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. Strategic Implementation Study Exploiting Bioschemas Markup to Support ELIXIR Communities ; FAIR Service Architecture
1000 Dateien
  1. Abstract - Bioschemas – Deploying and Harvesting Markup
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer ELIXIR |
    1000 Förderprogramm Strategic Implementation Study Exploiting Bioschemas Markup to Support ELIXIR Communities ; FAIR Service Architecture
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6432243.rdf
1000 Erstellt am 2022-03-15T11:16:47.977+0100
1000 Erstellt von 320
1000 beschreibt frl:6432243
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet Wed Apr 06 07:54:35 CEST 2022
1000 Objekt bearb. Wed Apr 06 07:54:35 CEST 2022
1000 Vgl. frl:6432243
1000 Oai Id
  1. oai:frl.publisso.de:frl:6432243 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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