16 resultados para metadata repository


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Contributed to: III Bienal de Restauración Monumental: "Sobre la des-restauración" (Sevilla, Spain, Nov 23-25, 2006)

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Contributed to: Virtual Retrospect 2007 (Pessac, France, Nov 14-16, 2007)

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The digital management of collections in museums, archives, libraries and galleries is an increasingly important part of cultural heritage studies. This paper describes a representation for folk song metadata, based on the Web Ontology Language (OWL) implementation of the CIDOC Conceptual Reference Model. The OWL representation facilitates encoding and reasoning over a genre ontology, while the CIDOC model enables a representation of complex spatial containment and proximity relations among geographic regions. It is shown how complex queries of folk song metadata, relying on inference and not only retrieval, can be expressed in OWL and solved using a description logic reasoner.

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[EN] This academic activity has been the origin of other work that are also located in this repository. The first one is the dataset of information about the geometry of the Monastery recorded during the two years of fieldwork, then some bachelor thesis and papers are listed:

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El objetivo del proyecto es crear una aplicación Android usando la base de conocimiento multilingüe Multilingual Central Repository 3.0 (MCR 3.0).

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Presentado en: IX Congreso Internacional de Rehabilitación del Patrimonio Arquitectónico y Edificación (Sevilla, España, 9-12 julio 2008)

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Contributed to: Fusion of Cultures. XXXVIII Annual Conference on Computer Applications and Quantitative Methods in Archaeology – CAA2010 (Granada, Spain, Apr 6-9, 2010)

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[ES] La documentación contenida en este registro ha servido de base para las siguientes publicaciones:

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[ES] La documentación contenida en este registro ha servido de base para los siguientes documentos:

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[EN] Data contained in this record come from the following accademic activity (from which it is possible to locate additional records related with the Monastery):

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[EN] Data contained in this record come from the following accademic activity (from which it is possible to locate additional records related with the Monastery):

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[ES] Este proyecto corresponde a una continuación del que documenta la torre central y que se realizó en 2005. Dicho trabajo puede consultarse también es este repositorio:

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2.4. The author may post the VoR version of the article (in PDF or HTML form) in the Institutional Repository of the institution in which the author worked at the time the article was first submitted, or (for appropriate journals) in PubMed Central or UK PubMed Central or arXiv, no sooner than one year after first publication of the article in the Journal, subject to file availability and provided the posting includes a prominent statement of the full bibliographical details, a copyright notice in the name of the copyright holder (Cambridge University Press or the sponsoring Society, as appropriate), and a link to the online edition of the Journal at Cambridge Journals Online.

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[ES] La documentación contenida en este registro ha servido de base para el siguiente proyecto fin de carrera:

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DNA microarray, or DNA chip, is a technology that allows us to obtain the expression level of many genes in a single experiment. The fact that numerical expression values can be easily obtained gives us the possibility to use multiple statistical techniques of data analysis. In this project microarray data is obtained from Gene Expression Omnibus, the repository of National Center for Biotechnology Information (NCBI). Then, the noise is removed and data is normalized, also we use hypothesis tests to find the most relevant genes that may be involved in a disease and use machine learning methods like KNN, Random Forest or Kmeans. For performing the analysis we use Bioconductor, packages in R for the analysis of biological data, and we conduct a case study in Alzheimer disease. The complete code can be found in https://github.com/alberto-poncelas/ bioc-alzheimer