Group items tagged

«Comparativement au premier catalogue Ariane, il est certain qu'Ariane 2.0 offre de plus grandes possibilités, explique Guy Teasdale, directeur de la bibliothèque numérique et des technologies de l'information à la Bibliothèque. En implantant Ariane 2.0, nous cherchions à recréer l'interface extrêmement dépouillée de Google, tout en exploitant la richesse et l'intelligence des métadonnées enfouies dans les quelque 1, 7 millions de notices bibliographiques de notre catalogue. Les avantages de cette nouvelle interface sont tangibles, la plus évidente étant la recherche par facettes. Il y a aussi la possibilité de mieux exploiter la puissance du répertoire des vedettes matières de l'Université Laval (RVM). Toute l'opération s'inscrit dans notre volonté des nous adapter à la réalité des étudiants habitués aux moteurs de recherche de plus en plus puissants et conviviaux.»

" VuFind is a library resource portal designed and developed for libraries by libraries. The goal of VuFind is to enable your users to search and browse through all of your library's resources by replacing the traditional OPAC to include: * Catalog Records * Locally Cached Journals * Digital Library Items * Institutional Repository * Institutional Bibliography * Other Library Collections and Resources VuFind is completely modular so you can implement just the basic system, or all of the components. And since it's open source, you can modify the modules to best fit your need or you can add new modules to extend your resource offerings. VuFind has many APIs to interact with the search, data and many other features. You can syndicate your record data with other institutions via an OAI server. You can search using vufind's algorithms via OpenSearch. And if you want complete access to your indexed data, you can interact with Solr, VuFind's backend search and index engine."

"The Wayne State Library System launched its library mapping application in February 2010, designed to help locate materials in the five WSU libraries. The system works within the catalog to show the location of materials, as well as provides a web form for use at the reference desk. Developed using PHP and MySQL, it requires only minimal effort to update using a unique call number overlay mechanism. In addition to mapping shelved materials, the system provides information for any of the over three hundred collections held by the WSU Libraries. Patrons can do more than just locate a book on a shelf: they can learn where to locate reserve items, how to access closed collections, or get driving maps to extension center libraries. The article includes a discussion of the technology reviewed and chosen during development, an overview of the system architecture, and lessons learned during development."

"Randomly selected undergraduates at Brigham Young University, Brigham Young University-Idaho, and Brigham Young University-Hawaii, all private universities sponsored by The Church of Jesus Christ of Latter-day Saints, participated in a study that investigated four questions regarding federated searching: (1) Does it save time? (2) Do undergraduates prefer it? (3) Are undergraduates satisfied with the results they get from it? (4) Does it yield higher-quality results than nonfederated searching? Federated searching was, on average, 11 percent faster than nonfederated searching. Undergraduates rated their satisfaction with the citations gathered by federated searching 17 percent higher than their satisfaction using nonfederated search methods. A majority of undergraduates, 70 percent, preferred federated searching to the alternative. This study could not ultimately determine which of the two search methods yielded higher citation quality. The study does shed light on assumptions about federated searching and will interest librarians in different types of academic institutions, given the diversity of the three institutions studied."

"Three hosted federated search tools, Follett One Search, Gale PowerSearch Plus, and WebFeat Express, were configured and implemented in a school library. Databases from five vendors and the OPAC were systematically searched. Federated search results were compared with each other and to the results of the same searches in the database's native interface to disclose differences in handling query syntax, searching, retrieval, browsing results, etc. Each product was easily configured, but none were capable of searching every database desired. Simpler Boolean queries are the most successful queries because of the underlying structure and differences of the databases, and the capabilities of certain products. Federated search products succeed in simplifying access to multiple database resources at school, but searching remains different from the familiar Web search engines in many ways. To become more Google-like, federated searching must be done against indexes built in advance instead of the current real-time searching method."

"This paper aims to discuss whether there is difference between pragmatic and scholarly approaches to data gathering in libraries."

"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."

"The Web puzzle of online information resources often hinders end-users from effective and efficient access to these resources. Clustering resources into appropriate subject-based groupings may help alleviate these difficulties, but will it work with heterogeneous material? The University of Michigan and the University of California Irvine joined forces to test automatically enhancing metadata records using the Topic Modeling algorithm on the varied OAIster corpus. We created labels for the resulting clusters of metadata records, matched the clusters to an in-house classification system, and developed a prototype that would showcase methods for search and retrieval using the enhanced records. Results indicated that while the algorithm was somewhat time-intensive to run and using a local classification scheme had its drawbacks, precise clustering of records was achieved and the prototype interface proved that faceted classification could be powerful in helping end-users find resources. "