dc.contributor.author |
Minguillón Alfonso, Julià |
dc.date |
2013-04-16T14:23:54Z |
dc.date |
2013-04-16T14:23:54Z |
dc.date |
2010-10 |
dc.identifier.citation |
1865-0929 |
dc.identifier.citation |
Minguillón, J. (2010)."Analyzing hidden semantics in social bookmarking of open educational resources". A: 4th International Conference on Metadata and Semantic Research. Universidad de Alcalá. ALCALA DE HENARES. 20 de octubre. |
dc.identifier.uri |
http://hdl.handle.net/10609/21101 |
dc.format |
application/pdf |
dc.language.iso |
eng |
dc.publisher |
Springer |
dc.relation |
CCIS:108 |
dc.rights |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject |
open educational resources |
dc.subject |
factor analysis |
dc.subject |
#metaOER |
dc.subject |
tags |
dc.subject |
social bookmarking |
dc.subject |
delicious |
dc.subject |
recursos educatius en obert |
dc.subject |
etiquetes |
dc.subject |
marcadors socials |
dc.subject |
factor d'anàlisi |
dc.subject |
#metaOER |
dc.subject |
recursos educativos en abierto |
dc.subject |
etiquetas |
dc.subject |
#metaOER |
dc.subject |
marcadores sociales |
dc.subject |
factor de análisis |
dc.title |
Analyzing hidden semantics in social bookmarking of open educational resources |
dc.type |
info:eu-repo/semantics/conferenceObject |
dc.description.abstract |
Web 2.0 services such as social bookmarking allow users to manage and share the links they find interesting, adding their own tags for describing
them. This is especially interesting in the field of open educational resources, as
delicious is a simple way to bridge the institutional point of view (i.e. learning
object repositories) with the individual one (i.e. personal collections), thus
promoting the discovering and sharing of such resources by other users. In this paper we propose a methodology for analyzing such tags in order to discover hidden semantics (i.e. taxonomies and vocabularies) that can be used to
improve descriptions of learning objects and make learning object repositories more visible and discoverable. We propose the use of a simple statistical analysis tool such as principal component analysis to discover which tags create
clusters that can be semantically interpreted. We will compare the obtained results with a collection of resources related to open educational resources, in order to better understand the real needs of people searching for open educational resources. |
dc.description.abstract |
Los servicios Web 2.0 como los marcadores sociales permiten a los usuarios gestionar y compartir los enlaces que encuentran interesantes, añadiendo sus propias etiquetas para describirlos. En este trabajo se propone una metodología para el análisis de dichas etiquetas para descubrir la semántica oculta (es decir, las taxonomías y vocabularios) que puede ser utilizada para mejorar las descripciones de los objetos de aprendizaje y hacer más visibles los repositorios de objetos de aprendizaje. |
dc.description.abstract |
Els serveis web 2.0 com els marcadors socials permeten als usuaris gestionar i compartir els enllaços que troben interessants, afegint les seves pròpies etiquetes per descriure'ls. En aquest treball es proposa una metodologia per a l'anàlisi de les etiquetes per descobrir la semàntica oculta (és a dir, les taxonomies i vocabularis) que pot ser utilitzada per millorar les descripcions dels objectes d'aprenentatge i fer més visibles els repositoris d'objectes d'aprenentatge. |