{"id":61164,"date":"2018-03-09T22:49:03","date_gmt":"2018-03-09T22:49:03","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/flexible-techniques-for-heterogeneous-xml-data-retrieval\/"},"modified":"2018-03-09T22:49:03","modified_gmt":"2018-03-09T22:49:03","slug":"flexible-techniques-for-heterogeneous-xml-data-retrieval","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/ensenanza-con-ayuda-de-ordenador\/flexible-techniques-for-heterogeneous-xml-data-retrieval\/","title":{"rendered":"Flexible techniques for heterogeneous xml data retrieval"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Ismael Sanz Blasco <\/strong><\/h2>\n<p>La progresiva adopci\u00f3n de xml por nuevas comunidades de usuarios (bioinform\u00e1tica, ontolog\u00edas, gis, &#8230;) Ha motivado la aparici\u00f3n de aplicaciones que requieren la gesti\u00f3n de colecciones grandes y complejas, que presentan una gran cantidad de heterogeneidad y requieren t\u00e9cnicas aproximadas. Los enfoques existentes no resultan apropiados en ellas debido a la alta variabilidad estructural. El principal objetivo de esta tesis es la elaboraci\u00f3n de nuevas t\u00e9cnicas para la consulta de tales colecciones xml heterog\u00e9neas.  en primer lugar, se proponen nuevos indicadores para caracterizar el nivel de heterogeneidad de las colecciones xml, sobre la base de consideraciones de teor\u00eda de la informaci\u00f3n. A continuaci\u00f3n, a partir de un estudio de la literatura se desarrolla una metodolog\u00eda de dise\u00f1o de medidas de similitud flexibles, a partir de componentes gen\u00e9ricos y parametrizables. Estas medidas se emplean para la recuperaci\u00f3n de datos utilizando una nueva t\u00e9cnica basada en los conceptos de patr\u00f3n y fragmento, que permite un grado mucho mayor de flexibilidad que los enfoques existentes, y es m\u00e1s apropiado para colecciones heterog\u00e9neas.  en esta tesis se proporcionan algoritmos de consulta basados en fragmentos exhaustivos y top-k. En este \u00faltimo caso, nuestro enfoque que no requiere que la medida de similitud utilizada sea monot\u00f3nica, en contraste con los algoritmos top-k para xml existentes. Tambi\u00e9n presentamos dos extensiones que son importantes en la pr\u00e1ctica: una especificaci\u00f3n para la integraci\u00f3n de las mencionadas t\u00e9cnicas en xquery, y un algoritmo de agrupamiento que es \u00fatil para gestionar resultados complejos. todos los algoritmos se han implementado como parte de arhex, un conjunto de herramientas que incluye aplicaciones gr\u00e1ficas para el dise\u00f1o de medidas de similitud y consulta de colecciones. Hemos utilizado arhex para demostrar la eficacia de nuestro enfoque usando conjuntos de prueba sint\u00e9ticos y reales, en el contexto de un proyec<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Flexible techniques for heterogeneous xml data retrieval<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Flexible techniques for heterogeneous xml data retrieval <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Ismael Sanz Blasco <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Jaume i de castell\u00f3n<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 31\/10\/2007<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Rafael Berlanga Llavor\u00ed<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: giovanna Guerrini <\/li>\n<li>Mar\u00eda  Jos\u00e9 Aramburu cabo (vocal)<\/li>\n<li>Rafael Corchuelo gil (vocal)<\/li>\n<li>sven Casteleyn (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Ismael Sanz Blasco La progresiva adopci\u00f3n de xml por nuevas comunidades de usuarios (bioinform\u00e1tica, ontolog\u00edas, gis, &#8230;) [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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