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@article{Gray_2021,
doi = {10.37044/osf.io/v3jct},
url = {https://doi.org/10.37044%2Fosf.io%2Fv3jct},
year = 2021,
month = {jun},
publisher = {Center for Open Science},
author = {Alasdair J. G. Gray and Petros Papadopoulos and Ivan Mi{\v{c}}eti{\'{c}} and Andr{\'{a}}s Hatos},
title = {Exploiting Bioschemas Markup to Populate {IDPcentral}}
}
@inproceedings{Kl_mek_2017,
doi = {10.1145/3151759.3151809},
url = {https://doi.org/10.1145%2F3151759.3151809},
year = 2017,
month = {dec},
publisher = {{ACM}},
author = {Jakub Klimek and Petr {\v{S}}koda},
title = {{LinkedPipes} {ETL} in use},
booktitle = {Proceedings of the 19th International Conference on Information Integration and Web-based Applications's Services}
}
@article{Sickmeier_2007,
doi = {10.1093/nar/gkl893},
url = {https://doi.org/10.1093%2Fnar%2Fgkl893},
year = 2007,
month = {jan},
publisher = {Oxford University Press ({OUP})},
volume = {35},
number = {Database},
pages = {D786--D793},
author = {M. Sickmeier and J. A. Hamilton and T. LeGall and V. Vacic and M. S. Cortese and A. Tantos and B. Szabo and P. Tompa and J. Chen and V. N. Uversky and Z. Obradovic and A. K. Dunker},
title = {{DisProt}: the Database of Disordered Proteins},
journal = {Nucleic Acids Research}
}
@article{Di_Domenico_2012,
doi = {10.1093/bioinformatics/bts327},
url = {https://doi.org/10.1093%2Fbioinformatics%2Fbts327},
year = 2012,
month = {jun},
publisher = {Oxford University Press ({OUP})},
volume = {28},
number = {15},
pages = {2080--2081},
author = {T. Di Domenico and I. Walsh and A. J. M. Martin and S. C. E. Tosatto},
title = {{MobiDB}: a comprehensive database of intrinsic protein disorder annotations},
journal = {Bioinformatics}
}
@article{Lazar_2020,
doi = {10.1093/nar/gkaa1021},
url = {https://doi.org/10.1093%2Fnar%2Fgkaa1021},
year = 2020,
month = {dec},
publisher = {Oxford University Press ({OUP})},
volume = {49},
number = {D1},
pages = {D404--D411},
author = {Tamas Lazar and Elizabeth Martinez-Perez and Federica Quaglia and Andras Hatos and Lucia~B Chemes and Javier A Iserte and Nicolas A Mendez and Nicolas A Garrone and Tadeo~E Saldano and Julia Marchetti and Ana~Julia~Velez Rueda and Pau Bernado and Martin Blackledge and Tiago N Cordeiro and Eric Fagerberg and Julie D Forman-Kay and Maria~S Fornasari and Toby J Gibson and Gregory-Neal W Gomes and Claudiu~C Gradinaru and Teresa Head-Gordon and Malene Ringkjo bing Jensen and Edward~A Lemke and Sonia Longhi and Cristina Marino-Buslje and Giovanni Minervini and Tanja Mittag and Alexander~Miguel Monzon and Rohit V Pappu and Gustavo Parisi and Sylvie Ricard-Blum and Kiersten M Ruff and Edoardo Salladini and Marie Skepö and Dmitri Svergun and Sylvain~D Vallet and Mihaly Varadi and Peter Tompa and Silvio C E Tosatto and Damiano Piovesan},
title = {{PED} in 2021: a major update of the protein ensemble database for intrinsically disordered proteins},
journal = {Nucleic Acids Research}
}
@inproceedings{8cbc7003c0f74e778be9bbd9e9354a15,
title = "Bioschemas: From Potato Salad to Protein Annotation",
abstract = "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.",
author = "Gray, {Alasdair J. G.} and Carole Goble and Jimenez, {Rafael C.} and {Bioschemas Community}",
year = "2017",
language = "English",
series = "CEUR Workshop Proceedings",
publisher = "CEUR-WS",
booktitle = "Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks",
note = "16th International Semantic Web Conference, ISWC2017 ; Conference date: 23-10-2017 Through 25-10-2017",
}
@book{8e3f54f09cd0481b9d826939a5d596a9,
title = "SKOS Simple Knowledge Organization System Reference",
abstract = "This document defines the Simple Knowledge Organization System (SKOS), a common data model for sharing and linking knowledge organization systems via the Web.Many knowledge organization systems, such as thesauri, taxonomies, classification schemes and subject heading systems, share a similar structure, and are used in similar applications. SKOS captures much of this similarity and makes it explicit, to enable data and technology sharing across diverse applications.The SKOS data model provides a standard, low-cost migration path for porting existing knowledge organization systems to the Semantic Web. SKOS also provides a lightweight, intuitive language for developing and sharing new knowledge organization systems. It may be used on its own, or in combination with formal knowledge representation languages such as the Web Ontology language (OWL).This document is the normative specification of the Simple Knowledge Organization System. It is intended for readers who are involved in the design and implementation of information systems, and who already have a good understanding of Semantic Web technology, especially RDF and OWL.For an informative guide to using SKOS, see the [SKOS-PRIMER].",
author = "Alistair Miles and Sean Bechhofer",
year = "2009",
month = aug,
day = "18",
language = "English",
series = "W3C Recommendation",
publisher = "World Wide Web Consortium",
address = "United States",
}