55 research outputs found

    Science of Digital Libraries(SciDL)

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    Our purpose is to ensure that people and institutions better manage information through digital libraries (DLs). Thus we address a fundamental human and social need, which is particularly urgent in the modern Information (and Knowledge) Age. Our goal is to significantly advance both the theory and state-of-theart of DLs (and other advanced information systems) - thoroughly validating our approach using highly visible testbeds. Our research objective is to leverage our formal, theory-based approach to the problems of defining, understanding, modeling, building, personalizing, and evaluating DLs. We will construct models and tools based on that theory so organizations and individuals can easily create and maintain fully functional DLs, whose components can interoperate with corresponding components of related DLs. This research should be highly meritorious intellectually. We bring together a team of senior researchers with expertise in information retrieval, human-computer interaction, scenario-based design, personalization, and componentized system development and expect to make important contributions in each of those areas. Of crucial import, however, is that we will integrate our prior research and experience to achieve breakthrough advances in the field of DLs, regarding theory, methodology, systems, and evaluation. We will extend the 5S theory, which has identified five key dimensions or onstructs underlying effective DLs: Streams, Structures, Spaces, Scenarios, and Societies. We will use that theory to describe and develop metamodels, models, and systems, which can be tailored to disciplines and/or groups, as well as personalized. We will disseminate our findings as well as provide toolkits as open source software, encouraging wide use. We will validate our work using testbeds, ensuring broad impact. We will put powerful tools into the hands of digital librarians so they may easily plan and configure tailored systems, to support an extensible set of services, including publishing, discovery, searching, browsing, recommending, and access control, handling diverse types of collections, and varied genres and classes of digital objects. With these tools, end-users will for be able to design personal DLs. Testbeds are crucial to validate scientific theories and will be thoroughly integrated into SciDL research and evaluation. We will focus on two application domains, which together should allow comprehensive validation and increase the significance of SciDL's impact on scholarly communities. One is education (through CITIDEL); the other is libraries (through DLA and OCKHAM). CITIDEL deals with content from publishers (e.g, ACM Digital Library), corporate research efforts e.g., CiteSeer), volunteer initiatives (e.g., DBLP, based on the database and logic rogramming literature), CS departments (e.g., NCSTRL, mostly technical reports), educational initiatives (e.g., Computer Science Teaching Center), and universities (e.g., theses and dissertations). DLA is a unit of the Virginia Tech library that virtually publishes scholarly communication such as faculty-edited journals and rare and unique resources including image collections and finding aids from Special Collections. The OCKHAM initiative, calling for simplicity in the library world, emphasizes a three-part solution: lightweightprotocols, component-based development, and open reference models. It provides a framework to research the deployment of the SciDL approach in libraries. Thus our choice of testbeds also will nsure that our research will have additional benefit to and impact on the fields of computing and library and information science, supporting transformations in how we learn and deal with information

    Design and Evaluation of Techniques to Utilize Implicit Rating Data in Complex Information Systems.

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    Research in personalization, including recommender systems, focuses on applications such as in online shopping malls and simple information systems. These systems consider user profile and item information obtained from data explicitly entered by users - where it is possible to classify items involved and to make personalization based on a direct mapping from user or user group to item or item group. However, in complex, dynamic, and professional information systems, such as Digital Libraries, additional capabilities are needed to achieve personalization to support their distinctive features: large numbers of digital objects, dynamic updates, sparse rating data, biased rating data on specific items, and challenges in getting explicit rating data from users. In this report, we present techniques for collecting, storing, processing, and utilizing implicit rating data of Digital Libraries for analysis and decision support. We present our pilot study to find virtual user groups using implicit rating data. We demonstrate the effectiveness of implicit rating data for characterizing users and finding virtual user communities, through statistical hypothesis testing. Further, we describe a visual data mining tool named VUDM (Visual User model Data Mining tool) that utilizes implicit rating data. We provide the results of formative evaluation of VUDM and discuss the problems raised and plans for further studies

    A Digital Library Component Assembly Environment

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    Digital libraries (DLs) represent an important evolutionary step towards accessing structured digital information. DLs are often built from scratch or by using proprietary monolithic software that is often difficult to customise and extend to meet changing requirements. Researchers are beginning to realise that this is not an ideal solution and as a result, are creating component suites and accompanying protocols to encourage the creation of modular DLs. Despite the introduction of component models, it is not immediately apparent how they can be seamlessly assembled to produce diverse, yet fully functional, component-based digital library systems without knowledge of the underlying protocols. This dissertation presents a graphical user interface and its associated framework for creating DL systems from distributed components, consequently shielding DL architects from the complexity of using components models and taking advantage of the inherent benefits of the component programming paradigm. The framework introduced in this dissertation was designed to be generic enough to be adopted for the assembly of a variety of component-based systems over and beyond the digital library community. After being tested on over thirty inexperienced users and modelling a number of existing DL systems, graphically assembling distributed components has been shown to be a viable approach to simplify the creation of modular DLs from a pool of heterogeneous components

    Trinity Tripod, 1969-10-07

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    Maine Campus November 03 1978

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    The George-Anne

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    The News, October 22, 1948

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    The Hilltop 11-16-1984

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    This document created through a generous donation of Mr. Paul Cottonhttps://dh.howard.edu/hilltop_198090/1110/thumbnail.jp

    Central Florida Future, Vol. 39 No. 123, October 8, 2007

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    Senate burns through half of budget; Kerouac is back; Plan for tuition increase proposed; Florida considers vaccinations after student deaths.https://stars.library.ucf.edu/centralfloridafuture/3039/thumbnail.jp
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