Optimising metadata to make high-value content more accessible to Google users

Purpose: This paper shows how information in digital collections that have been catalogued using high-quality metadata can be retrieved more easily by users of search engines such as Google. Methodology/approach: The research and proposals described arose from an investigation into the observed phenomenon that pages from the Glasgow Digital Library (gdl.cdlr.strath.ac.uk) were regularly appearing near the top of Google search results shortly after publication, without any deliberate effort to achieve this. The reasons for this phenomenon are now well understood and are described in the second part of the paper. The first part provides context with a review of the impact of Google and a summary of recent initiatives by commercial publishers to make their content more visible to search engines. Findings/practical implications: The literature research provides firm evidence of a trend amongst publishers to ensure that their online content is indexed by Google, in recognition of its popularity with Internet users. The practical research demonstrates how search engine accessibility can be compatible with use of established collection management principles and high-quality metadata. Originality/value: The concept of data shoogling is introduced, involving some simple techniques for metadata optimisation. Details of its practical application are given, to illustrate how those working in academic, cultural and public-sector organisations could make their digital collections more easily accessible via search engines, without compromising any existing standards and practices

Propagation de métadonnées par l'analyse des liens

http://www.emse.fr/~mbeig/PUBLIS/2003-jft-p257-prime.pdfInternational audienc

Web Document Models for Web Information Retrieval

http://www.emse.fr/OSWIR05/2005-oswir-p19-beigbeder.pdfInternational audienceDifferent Web document models in relation to the hyper- text nature of the Web are presented. The Web graph is the most well known and used data extracted from the Web hy- pertext. The ways it has been used in works in relation with information retrieval are surveyed. Finally, some consider- ations about the integration of these works in a Web search engine are presented

Virtual WWW Documents: a Concept to Explicit the Structure of WWW Sites

http://www.emse.fr/~beigbeder/PUBLIS/1999-BCS-IRSG-p185-doan-v1.pdfInternational audienceThis paper shows a new concept of a virtual WWW document (VWD), as a set of WWW pages representing a logical information space, generally dealing with one particular domain. The VWD is described using metadata in the XML syntax and will be accessed through a metadata.class file, stored at the root level of WWW sites. We'll suggest how the VWD can improve information retrieval on the WWW and reduce the network load generated by the robots. We describe a prototype implemented in JAVA, within an application in the environmental domain. The exchanges of such metadata lay in a flexible architecture based on two kinds of robots : generalists and specialists that collect and organize this metadata, in order to localize the resources on the WWW. They will contribute to the overall auto-organizing information process by exchanging their indices, therefore forwarding their knowledge each other

Construction et utilisation de contextes autour des noeuds d'un hypertexte pour la recherche d'information

http://dn.revuesonline.com/article.jsp?articleId=5190Nous faisons l'hypothèse que la mise sous forme hypertexte d'un document atomise l'information dans le sens où les noeuds de l'hypertexte qui sont créés ne sont pas auto-suffisants pour pouvoir être appréhendés. Sous cette hypothèse, le contenu seul du noeud n'est pas suffisant pour l'indexer dans un but de l'insérer dans un système de recherche d'information. Nous avons implémenté et testé une méthode de construction de contextes autour des noeuds d'un hypertexte en utilisant une méthode de classification automatique. Cette dernière est basée sur une mesure de similarité entre les noeuds prenant en compte à la fois les aspects structurels de l'hypertexte, à savoir les liens entre les noeuds, et le contenu textuel des noeuds. Notre système de recherche d'information indexe à la fois les noeuds et leurs contextes. Le modèle de requête que nous utilisons est à deux niveaux : niveau sujet et niveau contexte

Comparing Information Retrieval Effectiveness of Different Metadata Generation Methods

This study describes an information retrieval experiment comparing the retrieval effectiveness (recall and precision) for queries run against professionally and automatically generated metadata records. The metadata records represented web pages from the National Institute of Environmental Health Sciences. The results of 10 queries were analyzed in terms of recall and precision for this small-scale study. The results of the study suggest that professionally generated metadata records are not significantly better in terms of information retrieval effectiveness than automatically generated metadata records

A Web Semântica e suas contribuições para a ciência da informação

O presente artigo apresenta o processo de atualização por que passa a World Wide Web na sua transição para o que tem sido chamado de “Web Semântica”. Neste sentido, busca-se identificar as tecnologias, as organizações associadas e o embasamento filosófico e conceitual subjacentes a esta nova web. O artigo também procura apresentar as imbricações existentes com a ciência da informação e as possibilidades de ampliação de escopo dos seus objetos tradicionais de pesquisa com o aporte dos novos padrões e tecnologias que estão sendo desenvolvidos no âmbito da Web Semântica