527 research outputs found

    Improving the Navigability of Tagging Systems with Hierarchically Constructed Resource Lists and Tag Trails

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    Recent research has shown that the navigability of tagging systems leaves much to be desired. In general, it was observed that tagging systems are not navigable if the resource lists of the tagging system are limited to a certain factor k. Hence, in this paper a novel resource list generation approach is introduced that addresses this issue. The proposed approach is based on a hierarchical network model. The paper shows through a number of experiments based on a tagging dataset from a large online encyclopedia system called Austria-Forum, that the new algorithm is able to create tag network structures that are navigable in an efficient manner. Contrary to previous work, the method featured in this paper is completely generic, i.e. the introduced resource list generation approach could be used to improve the navigability of any tagging system. This work is relevant for researchers interested in navigability of emergent hypertext structures and for engineers seeking to improve the navigability of tagging systems

    Comparing the hierarchy of keywords in on-line news portals

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    The tagging of on-line content with informative keywords is a widespread phenomenon from scientific article repositories through blogs to on-line news portals. In most of the cases, the tags on a given item are free words chosen by the authors independently. Therefore, relations among keywords in a collection of news items is unknown. However, in most cases the topics and concepts described by these keywords are forming a latent hierarchy, with the more general topics and categories at the top, and more specialised ones at the bottom. Here we apply a recent, cooccurrence-based tag hierarchy extraction method to sets of keywords obtained from four different on-line news portals. The resulting hierarchies show substantial differences not just in the topics rendered as important (being at the top of the hierarchy) or of less interest (categorised low in the hierarchy), but also in the underlying network structure. This reveals discrepancies between the plausible keyword association frameworks in the studied news portals

    EAD - enabling armchair delivery : approaches to encoding finding aids at the University of Liverpool

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    EAD is increasingly being selected as the primary data format for constructing archival finding aids in the British Archive Community as the new technologies and know-how required to encode lists are being embraced in many repositories. One major problem facing archivists, though, is how to convert finding aids held in a variety of formats (including databases, word processed documents and paper lists with no machine readable form) into EAD. This article will discuss the methods used in Special Collections and Archives at the University of Liverpool Library in converting finding aids into EAD. Two main examples will be discussed: firstly, designing database output styles which automatically generate EAD tags to wrap around database fields using the ProCite bibliographic database and secondly, offshore keying of paper lists with the addition of basic EAD tags following a rigorous template designed by Special Collections and Archives staff. Both methods have proved effective and have facilitated the generation of EAD encoded lists for a number of our largest collections. Finally, there will be a brief discussion of our use of native EAD generation using AdeptEdit software and our continuing use of conversion methods

    Folksonomies and clustering in the collaborative system CiteULike

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    We analyze CiteULike, an online collaborative tagging system where users bookmark and annotate scientific papers. Such a system can be naturally represented as a tripartite graph whose nodes represent papers, users and tags connected by individual tag assignments. The semantics of tags is studied here, in order to uncover the hidden relationships between tags. We find that the clustering coefficient reflects the semantical patterns among tags, providing useful ideas for the designing of more efficient methods of data classification and spam detection.Comment: 9 pages, 5 figures, iop style; corrected typo

    Evaluating tag-based information access in image collections

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    The availability of social tags has greatly enhanced access to information. Tag clouds have emerged as a new "social" way to find and visualize information, providing both one-click access to information and a snapshot of the "aboutness" of a tagged collection. A range of research projects explored and compared different tag artifacts for information access ranging from regular tag clouds to tag hierarchies. At the same time, there is a lack of user studies that compare the effectiveness of different types of tag-based browsing interfaces from the users point of view. This paper contributes to the research on tag-based information access by presenting a controlled user study that compared three types of tag-based interfaces on two recognized types of search tasks - lookup and exploratory search. Our results demonstrate that tag-based browsing interfaces significantly outperform traditional search interfaces in both performance and user satisfaction. At the same time, the differences between the two types of tag-based browsing interfaces explored in our study are not as clear. Copyright 2012 ACM

    The Reifying Center Archive Process: Sustainable Writing Center Archive Practice for Praxis, Research, And Continuity

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    A structured process to capture, sort, digitize, and curate a researchable history of a writing center has the potential to improve writing center administration with greater recall at both the local and global level. Maintaining a standard of practice from year to year with effective training, stable institutional partnerships, and evidence-based practice is already challenging. This is compounded by the continual erosion of accumulated memory and context for numerous administrative choices through the regular departure of tutors and administrators, posing further challenge to consistent practice, pedagogy, and policy. To preserve the programmatic memory informing countless decisions, relationships, and administrative expediencies, writing center administrators must establish a regular process to curate a researchable archive of the history produced by a center’s operation. Failure to do so risks the atrophy of critical memory every time a staff member leaves the writing center. Adoption of the proposed Reifying Center Archive Process, or ReCAP, provides a robust archive for programmatic recall. Creating an archive will enable writing center administrators to delve into the history of how a center has operated in the past; as a result, the center is better insulated against operational missteps or retreading in the future. Beyond the clear benefit to individual centers, the eventual standardization of such an archive process has long-term potential to improve historically challenging efforts to collect and synthesize the work done in centers across multiple institutions at the regional, national, and global levels. To promote the necessity of the ReCAP, this dissertation: reviews the scholarship that establishes the necessity of an archive-supported writing center; presents a case study of a large public university writing center; prescribes the literature-based archivist practices that will best sustain a writing center’s materials for future research; outlines the ReCAP as a tool to digitally present the physical holdings of the writing center’s archive; establishes a new standard for the organization of writing center materials within the ReCAP; and finally, tests these proposed practices by creating a prototype ReCAP archive for the case study center, the Georgia State University Writing Studio
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