Search (13 results, page 1 of 1)

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Abstract

Content analysis is a highly flexible research method that has been widely used in library and information science (LIS) studies with varying research goals and objectives. The research method is applied in qualitative, quantitative, and sometimes mixed modes of research frameworks and employs a wide range of analytical techniques to generate findings and put them into context. This article characterizes content analysis as a systematic, rigorous approach to analyzing documents obtained or generated in the course of research. It briefly describes the steps involved in content analysis, differentiates between quantitative and qualitative content analysis, and shows that content analysis serves the purposes of both quantitative research and qualitative research. The authors draw on selected LIS studies that have used content analysis to illustrate the concepts addressed in the article. The article also serves as a gateway to methodological books and articles that provide more detail about aspects of content analysis discussed only briefly in the article.

Source

Library trends. 55(2006) no.1, S.22-45

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Date

22. 9.1997 19:16:05

Footnote

Rez. in JASIST 54(2003) no.4, S.356-357 (S.J. Lincicum): "Reliance upon shared cataloging in academic libraries in the United States has been driven largely by the need to reduce the expense of cataloging operations without muck regard for the Impact that this approach might have an the quality of the records included in local catalogs. In recent years, ever increasing pressures have prompted libraries to adopt practices such as "rapid" copy cataloging that purposely reduce the scrutiny applied to bibliographic records downloaded from shared databases, possibly increasing the number of errors that slip through unnoticed. Errors in bibliographic records can lead to serious problems for library catalog users. If the data contained in bibliographic records is inaccurate, users will have difficulty discovering and recognizing resources in a library's collection that are relevant to their needs. Thus, it has become increasingly important to understand the extent and nature of errors that occur in the records found in large shared bibliographic databases, such as OCLC WorldCat, to develop cataloging practices optimized for the shared cataloging environment. Although this monograph raises a few legitimate concerns about recent trends in cataloging practice, it fails to provide the "detailed look" at misinformation in library catalogs arising from linguistic errors and mistakes in subject analysis promised by the publisher. A basic premise advanced throughout the text is that a certain amount of linguistic and subject knowledge is required to catalog library materials effectively. The author emphasizes repeatedly that most catalogers today are asked to catalog an increasingly diverse array of materials, and that they are often required to work in languages or subject areas of which they have little or no knowledge. He argues that the records contributed to shared databases are increasingly being created by catalogers with inadequate linguistic or subject expertise. This adversely affects the quality of individual library catalogs because errors often go uncorrected as records are downloaded from shared databases to local catalogs by copy catalogers who possess even less knowledge. Calling misinformation an "evil phenomenon," Bade states that his main goal is to discuss, "two fundamental types of misinformation found in bibliographic and authority records in library catalogs: that arising from linguistic errors, and that caused by errors in subject analysis, including missing or wrong subject headings" (p. 2). After a superficial discussion of "other" types of errors that can occur in bibliographic records, such as typographical errors and errors in the application of descriptive cataloging rules, Bade begins his discussion of linguistic errors. He asserts that sharing bibliographic records created by catalogers with inadequate linguistic or subject knowledge has, "disastrous effects an the library community" (p. 6). To support this bold assertion, Bade provides as evidence little more than a laundry list of errors that he has personally observed in bibliographic records over the years. When he eventually cites several studies that have addressed the availability and quality of records available for materials in languages other than English, he fails to describe the findings of these studies in any detail, let alone relate the findings to his own observations in a meaningful way. Bade claims that a lack of linguistic expertise among catalogers is the "primary source for linguistic misinformation in our databases" (p. 10), but he neither cites substantive data from existing studies nor provides any new data regarding the overall level of linguistic knowledge among catalogers to support this claim. The section concludes with a brief list of eight sensible, if unoriginal, suggestions for coping with the challenge of cataloging materials in unfamiliar languages.
Arguing that catalogers need to work both quickly and accurately, Bade maintains that employing specialists is the most efficient and effective way to achieve this outcome. Far less compelling than these arguments are Bade's concluding remarks, in which he offers meager suggestions for correcting the problems as he sees them. Overall, this essay is little more than a curmudgeon's diatribe. Addressed primarily to catalogers and library administrators, the analysis presented is too superficial to assist practicing catalogers or cataloging managers in developing solutions to any systemic problems in current cataloging practice, and it presents too little evidence of pervasive problems to convince budget-conscious library administrators of a need to alter practice or to increase their investment in local cataloging operations. Indeed, the reliance upon anecdotal evidence and the apparent nit-picking that dominate the essay might tend to reinforce a negative image of catalogers in the minds of some. To his credit, Bade does provide an important reminder that it is the intellectual contributions made by thousands of erudite catalogers that have made shared cataloging a successful strategy for improving cataloging efficiency. This is an important point that often seems to be forgotten in academic libraries when focus centers an cutting costs. Had Bade focused more narrowly upon the issue of deintellectualization of cataloging and written a carefully structured essay to advance this argument, this essay might have been much more effective." - KO 29(2002) nos.3/4, S.236-237 (A. Sauperl)

Imprint

Urbana-Champaign, IL : Illinois University at Urbana-Champaign, Graduate School of Library and Information Science

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Abstract

In this paper a framework for the construction and organization of knowledge organization and representation languages in the context of digital photograph collections is presented. It analyses exigencies of photographs as documentary objects, as well as several models of indexing, different proposals of languages and a theoretical revision of ontologies in this research field, in relation to visual documents. In considering the photograph as an analysis object, it is appropriate to study all its attributes: features, components or properties of an objeet that can be represented in an information processing system. The attributes which are related to visual features include cognitive and affective answers and elements that describe spatial, semantic, symbolic or emotional features about a photograph. In any case, it is necessary to treat: a) morphological and material attributes (emulsion, state of preservation); b) biographical attributes: (school or trend, publication or exhibition); c) attributes of content: what and how a photograph says something; d) relational attributes: visual documents establish relationships with other documents that can be analysed in order to understand them.

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Abstract

Although images are visual information sources with little or no text associated with them, users still tend to use text to describe images and formulate queries. This is because digital libraries and search engines provide mostly text query options and rely on text annotations for representation and retrieval of the semantic content of images. While the main focus of image research is on indexing and retrieval of individual images, the general topic of image browsing and indexing, and retrieval of groups of images has not been adequately investigated. Comparisons of descriptions of individual images as well as labels of groups of images supplied by users using cognitive models are scarce. This work fills this gap. Using the basic level theory as a framework, a comparison of the descriptions of individual images and labels assigned to groups of images by 180 participants in three studies found a marked difference in their level of abstraction. Results confirm assertions by previous researchers in LIS and other fields that groups of images are labeled using more superordinate level terms while individual image descriptions are mainly at the basic level. Implications for design of image browsing interfaces, taxonomies, thesauri, and similar tools are discussed.

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Abstract

Librarians have inherited from the print environment a particular way of thinking about subject representation, one based on the conscious identification by librarians of appropriate subject classes and terminology. This conception has played a central role in shaping the profession's characteristic approach to upholding one of its core values: objectivity. It is argued that the social and technological roots of traditional indexing practice are closely intertwined. It is further argued that in traditional library practice objectivity is to be understood as impartiality, and reflects the mediating role that librarians have played in society. The case presented here is not a historical one based on empirical research, but rather a conceptual examination of practices that are already familiar to most librarians.

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Abstract

Purpose - To provide a better-informed view of the extent of the semantic gap in image retrieval, and the limited potential for bridging it offered by current semantic image retrieval techniques. Design/methodology/approach - Within an ongoing project, a broad spectrum of operational image retrieval activity has been surveyed, and, from a number of collaborating institutions, a test collection assembled which comprises user requests, the images selected in response to those requests, and their associated metadata. This has provided the evidence base upon which to make informed observations on the efficacy of cutting-edge automatic annotation techniques which seek to integrate the text-based and content-based image retrieval paradigms. Findings - Evidence from the real-world practice of image retrieval highlights the existence of a generic-specific continuum of object identification, and the incidence of temporal, spatial, significance and abstract concept facets, manifest in textual indexing and real-query scenarios but often having no directly visible presence in an image. These factors combine to limit the functionality of current semantic image retrieval techniques, which interpret only visible features at the generic extremity of the generic-specific continuum. Research limitations/implications - The project is concerned with the traditional image retrieval environment in which retrieval transactions are conducted on still images which form part of managed collections. The possibilities offered by ontological support for adding functionality to automatic annotation techniques are considered. Originality/value - The paper offers fresh insights into the challenge of migrating content-based image retrieval from the laboratory to the operational environment, informed by newly-assembled, comprehensive, live data.

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Abstract

Purpose - An empirical study has shown that the real process of subject cataloging does not correspond entirely to theoretical descriptions in textbooks and international standards. The purpose of this is paper is to address the issue of whether it be possible for catalogers who have not received formal training to perform subject cataloging in a different way to their trained colleagues. Design/methodology/approach - A qualitative study was conducted in 2001 among five Slovenian public library catalogers. The resulting model is compared to previous findings. Findings - First, all catalogers attempted to determine what the book was about. While the American catalogers tried to understand the topic and the author's intent, the Slovenian catalogers appeared to focus on the topic only. Slovenian and American academic library catalogers did not demonstrate any anticipation of possible uses that users might have of the book, while this was important for American public library catalogers. All catalogers used existing records to build new ones and/or to search for subject headings. The verification of subject representation with the indexing language was the last step in the subject cataloging process of American catalogers, often skipped by Slovenian catalogers. Research limitations/implications - The small and convenient sample limits the findings. Practical implications - Comparison of subject cataloging processes of Slovenian and American catalogers, two different groups, is important because they both contribute to OCLC's WorldCat database. If the cataloging community is building a universal catalog and approaches to subject description are different, then the resulting subject representations might also be different. Originality/value - This is one of the very few empirical studies of subject cataloging and indexing.

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Abstract

The paper establishes a taxonomy of image-text relationships that reflects the ways that images and text interact. It is applicable to all subject areas and document types. The taxonomy was developed to answer the research question: how does an illustration relate to the text with which it is associated, or, what are the functions of illustration? Developed in a two-stage process - first, analysis of relevant research in children's literature, dictionary development, education, journalism, and library and information design and, second, subsequent application of the first version of the taxonomy to 954 image-text pairs in 45 Web pages (pages with educational content for children, online newspapers, and retail business pages) - the taxonomy identifies 49 relationships and groups them in three categories according to the closeness of the conceptual relationship between image and text. The paper uses qualitative content analysis to illustrate use of the taxonomy to analyze four image-text pairs in government publications and discusses the implications of the research for information retrieval and document design.

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Content

This paper examines three themes in the design of search support services: linking different genres of reference resources (e.g. bibliographies, biographical dictionaries, catalogs, encyclopedias, place name gazetteers); the division of vocabularies by facet (e.g. What, Where, When, and Who); and mapping between both similar and dissimilar vocabularies. Different vocabularies within a facet can be used in conjunction, e.g. a place name combined with spatial coordinates for Where. In practice, vocabularies of different facets are used in combination in the representation or description of complex topics. Rich opportunities arise from mapping across vocabularies of dissimilar reference genres to recreate the amenities of a reference library. In a network environment, in which vocabulary control cannot be imposed, semantic correspondence across diverse vocabularies is a challenge and an opportunity.

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Abstract

This guide, for beginning catalogers with humanities or social sciences backgrounds, provides assistance in subject analysis (based on Library of Congress Subject Headings) of theses and dissertations (T/Ds) that are produced by graduate students in university departments in the hard sciences (physical sciences and engineering). It is aimed at those who have had little or no experience in cataloging, especially of this type of material, and for those who desire to supplement local mentoring resources for subject analysis in the hard sciences. Theses and dissertations from these departments present a special challenge because they are the results of current research representing specific new concepts with which the cataloger may not be familiar. In fact, subject headings often have not yet been created for the specific concept(s) being researched. Additionally, T/D authors often use jargon/terminology specific to their department. Catalogers often have many other duties in addition to subject analysis of T/Ds in the hard sciences, yet they desire to provide optimal access through accurate, thorough subject analysis. Tips are provided for determining the content of the T/D, strategic searches on WorldCat for possible subject headings, evaluating the relevancy of these subject headings for final selection, and selecting appropriate subdivisions where needed. Lists of basic reference resources are also provided.

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Abstract

It is vital for library and information science to understand the subject indexing process thoroughly. However, document analysis, the first and most important step in indexing, has not received sufficient attention. As this is an exceptionally hard problem, we still do not dispose of a sound indexing theory. Therefore we have difficulties in teaching indexing and in explaining why a given subject representation is "better" than another. Technological advancements have not helped to close this fundamental gap. To proceed, we should ask the right questions instead. Several types of indexer inconsistencies can be explained as acceptable, yet different conceptualizations which resulting of the variety of groups dealing with a problem from their respective viewpoints. Multiple indexed documents are regarded as the normal case. Intersubjectively replicable indexing results are often questionable or do not constitute interesting cases of indexing at all. In the context of my ongoing dissertation in which I intend to develop an enhanced indexing theory by investigating improvements within a social sciences domain, this paper explains user-oriented selective depth analysis and why I chose that configuration. Strongly influenced by Mai's dissertation, I also communicate my first insights concerning current indexing theories. I agree that I cannot ignore epistemological stances and philosophical issues in language and meaning related to indexing and accept the openness of the interpretive nature of the indexing process. Although I present arguments against the employment of an indexing language as well, it is still indispensable in situations which demand easier access and control by devices. Despite the enormous difficulties the user-oriented and selective depth analysis poses, I argue that it is both feasible and useful if one achieves careful guidance of the possible interpretations. There is some hope because the number of useful interpretations is limited: Every summary is tailored to a purpose, audience and situation. Domain, discourse and social practice entail additional constraints. A pluralistic method mix that focusses on ecologically valid, holistic contexts and employs qualitative methods is recommended. Domain analysis urgently has to be made more practical and applicable. Only then we will be able to investigate empirically domains in order to identify their structures shaped by the corresponding discourse communities. We plan to represent the recognized problem structures and indexing questions of relevance to a small domain in formal, ontological computer models -- if we can find such stable knowledge structures. This would allow us to tailor dynamically summaries for user communities. For practical purposes we suggest to assume a less demanding position than Hjorland's "totality of the epistemological potential". It is sufficent that we identify and represent iteratively the information needs of today's user groups in interactive knowledge-based systems. The best way to formalize such knowledge gained about discourse communities is however unknown. Indexers should stay in direct contact with the community they serve or be part of it to ensure agreement with their viewpoints. Checklist/request-oriented indexing could be very helpful but it remains to be demonstrated how well it will be applicable in the social sciences. A frame-based representation or at least a sophisticated grouping of terms could help to express relational knowledge structures. There remains much work to do since in practice no one has shown yet how such an improved indexing system would work and if the indexing results were really "better".

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Date

27. 9.2005 14:22:19