825 resultados para Multimedia indexing
Resumo:
Social tagging, as a particular type of indexing, has thrown into question the nature of indexing. Is it a democratic process? Can we all benefit from user-created tags? What about the value added by professionals? Employing an evolving framework analysis, this paper addresses the question: what is next for indexing? Comparing social tagging and subject cataloguing; this paper identifies the points of similarity and difference that obtain between these two kinds of information organization frameworks. The subsequent comparative analysis of the parts of these frameworks points to the nature of indexing as an authored, personal, situational, and referential act, where differences in discursive placement divide these two species. Furthermore, this act is contingent on implicit and explicit understanding of purpose and tools available. This analysis allows us to outline desiderata for the next steps in indexing.
Resumo:
In this paper we discuss the temporal aspects of indexing and classification in information systems. Basing this discussion off of the three sources of research of scheme change: of indexing: (1) analytical research on the types of scheme change and (2) empirical data on scheme change in systems and (3) evidence of cataloguer decision-making in the context of scheme change. From this general discussion we propose two constructs along which we might craft metrics to measure scheme change: collocative integrity and semantic gravity. The paper closes with a discussion of these constructs.
Resumo:
Research poster about indexing theory
Resumo:
As the universe of knowledge and subjects change over time, indexing languages like classification schemes, accommodate that change by restructuring. Restructuring indexing languages affects indexer and cataloguer work. Subjects may split or lump together. They may disappear only to reappear later. And new subjects may emerge that were assumed to be already present, but not clearly articulated (Miksa, 1998). In this context we have the complex relationship between the indexing language, the text being described, and the already described collection (Tennis, 2007). It is possible to imagine indexers placing a document into an outdated class, because it is the one they have already used for their collection. However, doing this erases the semantics in the present indexing language. Given this range of choice in the context of indexing language change, the question arises, what does this look like in practice? How often does this occur? Further, what does this phenomenon tell us about subjects in indexing languages? Does the practice we observe in the reaction to indexing language change provide us evidence of conceptual models of subjects and subject creation? If it is incomplete, but gets us close, what evidence do we still require?
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This paper outlines a model of conceptual change in indexing languages. Findings from this modeling effort point to three ways meaning and relationships are established and then change in an indexing language. These ways: structural, terminological, and textual point to ways indexing language metadata can aid in managing conceptual change in indexing languages.
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With the advent of Internet-based technologies for information organization, many groups have constructed their own indexing languages. Biologists, Library and Information Science practitioners, and now social taggers have worked together to create large and many times complex indexing languages. In this environment of diversity, two questions surface: (1) what are the measurable characteristics of these indexing languages, and (2) do measurements of these indexing languages speciate along these characteristics? This poster presents data from this exploratory work.
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This paper proposes a dual conception of work in knowledge organization. The first part is a conception of work as liminal, set apart from everyday work. The second is integrated, without separation. This talk is the beginning of a larger project where we will characterize work in knowledge organization, both as it is set out in our literature (Šauperl, 2004; Hjørland 2003 Wilson, 1968), and in a philosophical argument for its fundamental importance in the activities of society (Shera, 1972; Zandonade, 2004).But in order to do this, we will co-opt the conception of liminality from the anthropology of religion (Turner, 1967), and Zen Buddhist conceptions of moral action, intention, and integration (Harvey, 2000 and cf., Harada, S., 2008).The goal for this talk is to identify the acts repeated (form) and the purpose of those acts (intention), in knowledge organization, with specific regard to thresholds (liminal points) of intention present in those acts.We can then ask the questions: Where is intention in knowledge organization liminal and where is it integrated? What are the limits of knowledge organization work when considered at a foundational level of the intention labor practices? Answering such questions, in this context, allows us to reconsider the assumptions we have about knowledge organization work and its increasingly important role in society. As a consequence, we can consider the limits of classification research if we see the foundations of knowledge organization work when we see forms and intentions. I must also say that incorporating Zen Buddhist philosophy into knowledge organization research seems like it fits well with ethics and ethical responses the practice of knowledge organization. This is because 20th Century Western interpretations of Zen are often rooted in ethical considerations. This translates easily to work.
Resumo:
The problem of determining the script and language of a document image has a number of important applications in the field of document analysis, such as indexing and sorting of large collections of such images, or as a precursor to optical character recognition (OCR). In this paper, we investigate the use of texture as a tool for determining the script of a document image, based on the observation that text has a distinct visual texture. An experimental evaluation of a number of commonly used texture features is conducted on a newly created script database, providing a qualitative measure of which features are most appropriate for this task. Strategies for improving classification results in situations with limited training data and multiple font types are also proposed.