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Furner, J.: ¬A unifying model of document relatedness for hybrid search engines (2003) 0.02

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Abstract: Previous work an search-engine design has indicated that information-seekers may benefit from being given the opportunity to exploit multiple sources of evidence of document relatedness. Few existing systems, however, give users more than minimal control over the selections that may be made among methods of exploitation. By applying the methods of "document network analysis" (DNA), a unifying, graph-theoretic model of content-, collaboration-, and context-based systems (CCC) may be developed in which the nature of the similarities between types of document relatedness and document ranking are clarified. The usefulness of the approach to system design suggested by this model may be tested by constructing and evaluating a prototype system (UCXtra) that allows searchers to maintain control over the multiple ways in which document collections may be ranked and re-ranked.
Date: 11. 9.2004 17:32:22

Furner, J.: User tagging of library resources : toward a framework for system evaluation (2007) 0.00
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Abstract

Although user tagging of library resources shows substantial promise as a means of improving the quality of users' access to those resources, several important questions about the level and nature of the warrant for basing retrieval tools on user tagging are yet to receive full consideration by library practitioners and researchers. Among these is the simple evaluative question: What, specifically, are the factors that determine whether or not user-tagging services will be successful? If success is to be defined in terms of the effectiveness with which systems perform the particular functions expected of them (rather than simply in terms of popularity), an understanding is needed both of the multifunctional nature of tagging tools, and of the complex nature of users' mental models of that multifunctionality. In this paper, a conceptual framework is developed for the evaluation of systems that integrate user tagging with more traditional methods of library resource description.

Furner, J.: Folksonomies (2009) 0.00

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Abstract: Folksonomies are indexing languages that emerge from the distributed resource-description activity of multiple agents who make use of online tagging services to assign tags (i.e., category labels) to the resources in collections. Although individuals' motivations for engaging in tagging activity vary widely, folksonomy-based retrieval systems can be evaluated by measuring the degree to which taggers and searchers agree on tag-resource pairings.

Srinivasan, R.; Boast, R.; Becvar, K.M.; Furner, J.: Blobgects : digital museum catalogs and diverse user communities (2009) 0.00

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Date: 22. 3.2009 18:52:32

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