125 Matching Annotations
  1. Oct 2019
    1. #Collections #Institutions #CatalogedItems #Taxa #TaxonRelations #Localities #GeoreferencedLocalities #CollectingEvents #Media #Agents #Publications #PublicationsWithDOI #Projects #GenBankLinks #SpecimenRelationships #Annotations #ReviewedAnnotations 178 38 3,720,566 3,422,043 1,106,234 580,184 430,122 1,076,518 788,957 91,225 8,002 1,491 2,875 31,635 112,990 15,179 992

      Collections

      Institutions

      CatalogedItems

      Taxa

      TaxonRelations

      Localities

      GeoreferencedLocalities

      CollectingEvents

      Media

      Agents

      Publications

      PublicationsWithDOI

      Projects

      GenBankLinks

      SpecimenRelationships

      Annotations

      ReviewedAnnotations

      178 38 3,720,566 3,422,043 1,106,234 580,184 430,122 1,076,518 788,957 91,225 8,002 1,491 2,875 31,635 112,990 15,179 992

    2. 3,422,043

      estadisticas

    1. 11,106,374Biological Names

      estadisticas

    Annotators

    URL

    1. Search species 6,586,578 results

      estadisticas

    1. The Catalogue of Life (CoL) is the nearest thing to a comprehensive catalogue of all known species of organisms on Earth. Continuous progress is made towards completion, and this edition contains 1,837,565 living and 63,418 extinct species.

      estadisticas

    1. urrently, EOL hosts 12,983,401 trait and attribute records, including 1,642,463 ecological interaction records. There is trait data available for 1,999,030 species and higher taxa.

      estadisticas

  2. Jun 2019
  3. May 2019
  4. Apr 2019
  5. Mar 2019
    1. Open science is the movement to make scientific research, data and dissemination accessible to all levels of an inquiring society.

      lavaylanda

      bioinformacion

      infovestigacion

      curso

      ciencia abierta

    1. Open Access publishing and Open Science MENU

      lavaylanda

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      ciencia abierta

    1. Center for Open Science

      lavaylanda

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      ciencia abierta

    1. Open Science MOOC

      lavaylanda

      bioinformacion

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      ciencia abierta

    1. Open Science Directory

      lavaylanda

      bioinformacion

      infovestigacion

      curso

      ciencia abierta

      base de datos

    1. October 21 - 27, 2019

      lavaylanda

      bioinformacion

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      ciencia abierta

      RSS

    1. How open science helps researchers succeed

      lavaylanda

      bioinformacion

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      ciencia abierta

      DOI:10.7554/eLife.16800 PMCID: PMC4973366 PMID: 27387362 OA

    1. Open Science Grid About News Contact

      lavaylanda

      bioinformacion

      infovestigacion

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      ciencia abierta

    1. Open Science Prize

      lavaylanda

      bioinformacion

      infovestigacion

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      ciencia abierta

    1. Open Science Manifesto

      lavaylanda

      bioinformacion

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      ciencia abierta

    1. Festival de la ciencia abierta y participativa

      lavaylanda

      bioinformacion

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      ciencia abierta

    1. Open Science Days

      lavaylanda

      bioinformacion

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      ciencia abierta

    1. Open Research Facilitating faster and more effective research discovery

      lavaylanda

      bioinformacion

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      ciencia abierta

  6. Feb 2019
    1. Dublin Core XML generation from Python dictionaries.

      Cómo lo instalo en conda?

  7. Jan 2019
    1. Berners Lee definió cuatro principios básicos para la publicación de Linked data:• Usar Uri (Uniform Resource Identifiers: identificadores uni-formes de recursos) para identificar los recursos de forma unívoca.• Usar Uri http para que la gente pueda acceder a la informa-ción del recurso;• Ofrecer información sobre los recursos usando rdf (Resource Description Frame Work: Marco de Descripción de Recur-sos).• Incluir enlaces a otros Uri para facilitar el vínculo entre dis-tintos datos distribuidos en la Web.
    2. Linked Open Data en la Biblioteca Digital Semántica Académica
  8. Dec 2018
    1. The Anatomy of a Nano-publication
    2. We begin with a core set of definitions:•Concept - a concept is the smallest, unambiguous unit of thought. A concept is uniquely identifiable.•Triple – is a tuple of three concepts (subject, predicate, object)•Statement – A triple that is uniquely identifiable. •Annotation – A triple such that the subject of the triple is a statement. •Nanopublication – A set of annotations that refer to the same statement and contains a minimum set of (community) agreed upon annotation
    3. As the amount of scholarly communication increases, it is increasingly difficult for specific core scientific statements to be found, connected and curated. Additionally, the redundancy of these statements in multiple fora makes it difficult to determine attribution, quality, and provenance. To tackle these challenges, the Concept Web Alliance has promoted the notion of nanopublications (core scientific statements with associated context). In this document, we present a model of nanopublications along with a NamedGraph/RDF serialization of the model. Importantly, the serialization is defined completely using already existing community developed technologies. Finally, we discuss the importance of aggregating nano-publications and the role that the ConceptWiki plays in facilitating it.
    1. SKOS—Simple Knowledge Organization System—provides a model for expressing the basic structure and content of concept schemes such as thesauri, classification schemes, subject heading lists, taxonomies, folksonomies, and other similar types of controlled vocabulary. As an application of the Resource Description Framework (RDF), SKOS allows concepts to be composed and published on the World Wide Web, linked with data on the Web and integrated into other concept schemes. This document is a user guide for those who would like to represent their concept scheme using SKOS. In basic SKOS, conceptual resources (concepts) are identified with URIs, labeled with strings in one or more natural languages, documented with various types of note, semantically related to each other in informal hierarchies and association networks, and aggregated into concept schemes. In advanced SKOS, conceptual resources can be mapped across concept schemes and grouped into labeled or ordered collections. Relationships can be specified between concept labels. Finally, the SKOS vocabulary itself can be extended to suit the needs of particular communities of practice or combined with other modeling vocabularies. This document is a companion to the SKOS Reference, which provides the normative reference on SKOS.
    1. Why SKOS? SKOS is quickly becoming a prevalent standards-based tool for representing thesaurus data, as witnessed by the user list above. Using SKOS instead of creating a custom XML Schema approach minimizes reinvention of the wheel. Implementing custom XML Schemata often requires new, custom tools to be created by each user, whereas SKOS and RDF have numerous tools to make instant use of the data. Furthermore, the notion of dereferenceable, REST ful URIs is a strength of the Semantic Web and Linked Data community approach to data -- one which is attractive enough for us to leverage. It is not necessarily an approach that the Semantic Web community invented, nor is it something that XML is devoid of, comparatively speaking. However, centering services or content negotiation around a reusable or multi-purposed URI has not been a common design principle in most XML applications. Lastly, the ability to see our data tied into the Linked Data world is attractive. Linked Data is heavily driven by Semantic Web and RDF technologies. This offers an exciting opportunity to bring our standards offerings to a new user community.
    2. SKOS

      ERR_NAME_NOT_RESOLVED

    1. The success of distributed and semantic-enabled systems relies on the use of up-to-date ontologies and mappings between them. However, the size, quantity and dynamics of existing ontologies demand a huge maintenance effort pushing towards the development of automatic tools supporting this laborious task. This article proposes a novel method, investigating different types of similarity measures, to identify concepts’ attributes that served to define existing mappings. The obtained experimental results reveal that our proposed method allows to identify the relevant attributes for supporting mapping maintenance, since we found correlations between ontology changes affecting the identified attributes and mapping changes.
  9. Nov 2018
    1. One way to think about "core" biodiversity data is as a network of connected entities, such as taxa, taxonomic names, publications, people, species, sequences, images, collections, etc. (Fig. 1)
    2. One way to think about "core" biodiversity data is as a network of connected entities, such as taxa, taxonomic names, publications, people, species, sequences, images, and collections that form the "biodiversity knowledge graph". Many questions in biodiversity informatics can be framed as paths in this graph. This article explores this futher, and sketches a set of services and tools we would need in order to construct the graph. New information In order to build a usable biodiversity knowledge graph we should adopt JSON-LD for biodiversity data, develop reconciliation services to match entities to identifiers, and a use a mixture of document and graph databases to store and query the data. To bootstrap this project we can create wrappers around each major biodiversity data provider, and a central cache that is both a document store and a simple graph database. This power of this approach should be showcased by applications that use the central cache to tackle specific problems, such as augmenting existing data.
  10. Oct 2018
    1. Linked Data class diagram ESWC2007 Poster on Linking Open Data

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      Apache/2.4.18 (Ubuntu) Server at umbel.org Port 80

    1. ECAT name parser webservice.

      404 This page might have existed once, but we can no longer find it. Please try our search to find what you’re looking for. You are always welcome to contact us at helpdesk@gbif.org.

  11. Sep 2018
    1. We're sorry but something has gone wrong. We have been notified of this error.
  12. www.ukoln.ac.uk www.ukoln.ac.uk
    1. Type the URL of the page you want to describe...

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