Group items tagged

"Many Web 2.0 services (including Library 2.0 catalogs) make use of folksonomies. The purpose of this paper is to cut off all tags in the long tail of a document-specific tag distribution. The remaining tags at the beginning of a tag distribution are considered power tags and form a new, additional search option in information retrieval systems. In a theoretical approach the paper discusses document-specific tag distributions (power law and inverse-logistic shape), the development of such distributions (Yule-Simon process and shuffling theory) and introduces search tags (besides the well-known index tags) as a possibility for generating tag distributions."

"The purpose of this paper is to present the implementation of LibraryThing for Libraries LTFL in an academic library and analysis of usage of LTFL data and their potential for resource discovery in the catalog. Design/methodology/approach - The paper reviews the literature on social tagging and incorporation of third-party user-generated metadata into the library catalog. It provides an assessment based on the analysis of total absolute usage figures and frequency of use of LTFL data. Findings - Based on the data available, usage of LTFL data in the catalog is low, but several possible contributing factors are identified."

"Pour l'université de Rutgers, un internaute réalise plus rapidement et efficacement une recherche si le moteur affiche simultanément une liste de résultats et un nuage mettant en avant les mots-clés présumés."

"Jumper 2.0 is a revolution in enterprise search. One that delivers personalized, specialized, and trusted search directly to the knowledge workers who need it most. Jumper is light-weight, web-based, license-free, and quickly deployed to smaller groups of users. Easily customized and adaptable it meets the unique needs of departments and divisions, research groups and project teams. Making it a point solution search approach that is highly flexible and very dynamic. Jumper 2.0 is commercial open source software for universal search and knowledge management powered by an enterprise bookmarking engine. Jumper uses peer and social-networking principles to tag and link distributed content, media, or data regardless of format or location - including databases, flat files, fileshares, content systems, blogs and wikis, even people - through one simple search box."

Signets de Sylvie Dalbin autour des moteurs de recherche. Voir aussi les tags : moteur-de-recherche(exemple) recherche recherche-contenu-illustration(sujet) recherche-contenu-image(sujet) recherche-contenu(sujet) recherche-développement(nature_info) recherche-facette(exemple) recherche-facette(sujet) recherche-fédérée(exemple) recherche-fédérée(sujet) recherche-filtre(sujet) recherche-information(exemple) recherche-information(sujet) recherche-multilingue(sujet) recherche-par-graphe(sujet) recherche-personnalisable(sujet) recherche-question-reponse(sujet) recherche-tri(sujet) recherche(domaine) recherche(sujet)

"Web Search engines most often operate on the idea that their tools are supposed to represent the fastest way between a user's search query and a site that will represent a fitting information content to satisfy a "information need". The main challenge is therefore about building ranking algorithms that will find the "best" site and put it into first place. While this approach has been highly successful it also neglects the user's ability to interact, select, navigate, analyze - in short, to be an active agent and a stakeholder in the search process. Our proposal is the technical manifestation of a simple concept: instead of reducing the search phase to a minimum we believe that there is much to be gained by presenting a semantically rich interface to users; this interface can be used to either navigate in a list of results (1000 in the case of our current prototype) or to refine the search query. The "termcloud" and "cluster" views give a quick overview of a topic by showing which terms are significant, their relative frequency and the relations that exist between them. This way the user gets an idea of the topic before even visiting a Web site from the result list. We hope that this approach will help users in digging deeper than the first couple of results and explore the regions of the Web that might not be so easy to find with a regular, hit-driven search engine."

"The goal of this study is to expand our understanding of the relationships between selected tasks, cognitive abilities and search result interfaces. The underlying objective is to understand how to select search results presentation for tasks and user contexts"