Observatorio de I+D+i UPM

Memorias de investigación
Proyecto de I+D+i:
KOPAR: Knowledge Publishing, Acquisition and Representation
Año:2015
Áreas de investigación
Datos
Descripción

The KOPAR project aims to investigate the inclusive nature of scientific documents from an integrative-interoperable semantic perspective. Scientific publications aggregate data by encompassing it within a persuasive narrative. Such aggregation is highly federated as authors reference external sources, analyze data elsewhere and summarize over the document, archive and publish methods, data and processes over heterogeneous resources and using a myriad of formats. KOPAR addresses the problem of supporting such aggregation over a document that is to be born semantic, interoperable and conceived as an aggregator within a web-of-data publishing workflow; KOPAR delivers the tooling necessary for authors to generate this type of documents. Existing ontologies, data structures, standards and Application Programing Interfaces are brought together in order to facilitate the assemblage, identification and characterization of these arrangements in the document. Conceptual elements such as Research Objects, nanopublications, references, experimental protocols and data are to be logically assembled within the document as self-describing, machine procesable elements. KOPAR will deliver a novel paradigm for scholarly communication, one that makes it possible to understand the paper as an aggregator, a living document that is both an interface to the Web of Data as well as the pivot for collaboration across scientists.

Internacional
Si
Tipo de proyecto
Proyectos y convenios en convocatorias públicas competitivas
Entidad financiadora
Nacionalidad Entidad
Sin nacionalidad
Tamaño de la entidad
Fecha concesión
11/03/2015
Esta actividad pertenece a memorias de investigación
Participantes
  • Director: Oscar Corcho Garcia (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: No seleccionado
  • Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
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