TY - GEN
T1 - Bioschemas: From Potato Salad to Protein Annotation
AU - Gray, Alasdair J. G.
AU - Goble, Carole
AU - Jimenez, Rafael C.
AU - Bioschemas Community
PY - 2017
Y1 - 2017
N2 - The life sciences have a wealth of data resources with a wide range of overlapping content. Key repositories, such as UniProt for protein data or Entrez Gene for gene data, are well known and their content easily discovered through search engines. However, there is a long-tail of bespoke datasets with important content that are not so prominent in search results. Building on the success of Schema.org for making a wide range of structured web content more discoverable and interpretable, e.g. food recipes, the Bioschemas community (http://bioschemas.org) aim to make life sciences datasets more findable by encouraging data providers to embed Schema.org markup in their resources.
AB - The life sciences have a wealth of data resources with a wide range of overlapping content. Key repositories, such as UniProt for protein data or Entrez Gene for gene data, are well known and their content easily discovered through search engines. However, there is a long-tail of bespoke datasets with important content that are not so prominent in search results. Building on the success of Schema.org for making a wide range of structured web content more discoverable and interpretable, e.g. food recipes, the Bioschemas community (http://bioschemas.org) aim to make life sciences datasets more findable by encouraging data providers to embed Schema.org markup in their resources.
M3 - Conference contribution
T3 - CEUR Workshop Proceedings
BT - Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks
PB - CEUR-WS
T2 - 16th International Semantic Web Conference
Y2 - 23 October 2017 through 25 October 2017
ER -