Search (88 results, page 2 of 5)

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Abstract

Since information science concerns the transmission of records, it concerns context. The transmission of documents ensures their arrival in new contexts. Documents and their copies are spread across times and places. The amount of labor required to discover and retrieve relevant documents is also formulated by context. Thus, any serious consideration of communication and of information technologies quickly leads to a concern with context, relevance, and labor. Information scientists have developed many theories of context, relevance, and labor but not a framework for organizing them and describing their relationship with one another. We propose the words context and relevance can be used to articulate a useful framework for considering the diversity of approaches to context and relevance in information science, as well as their relations with each other and with labor.

Source

Journal of the Association for Information Science and Technology. 73(2022) no.9, S.1268-1278

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Abstract

This paper centres on the tools for the management of new digital documents, which are not only textual, but also visual-video, audio or multimedia in the full sense. Among the aims is to demonstrate that operating within the terms of generic Information Retrieval through textual language only is limiting, and it is instead necessary to consider ampler criteria, such as those of MultiMedia Information Retrieval, according to which, every type of digital document can be analyzed and searched by the proper elements of language for its proper nature. MMIR is presented as the organic complex of the systems of Text Retrieval, Visual Retrieval, Video Retrieval, and Audio Retrieval, each of which has an approach to information management that handles the concrete textual, visual, audio, or video content of the documents directly, here defined as content-based. In conclusion, the limits of this content-based objective access to documents is underlined. The discrepancy known as the semantic gap is that which occurs between semantic-interpretive access and content-based access. Finally, the integration of these conceptions is explained, gathering and composing the merits and the advantages of each of the approaches and of the systems to access to information.

Footnote

Bezugnahme auf: Enser, P.G.B.: Visual image retrieval. In: Annual review of information science and technology. 42(2008), S.3-42.

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Source

Social science information studies. 4(1984), S.167-183

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Source

2nd Symposium on Empirical Foundations of Information and Software Science, 3.-5.10.84, Atlanta

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Imprint

Medford, NJ : Learned information

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Abstract

Die verfügbare multimediale Information nimmt stetig zu, nicht zuletzt durch die Tag für Tag wachsende Zahl an neuer Information im Internet. Damit man dieser Flut Herr werden und diese Information wieder abrufbar machen kann, muss sie annotiert und geeignet in Datenbanken abgelegt werden. Hier besteht das Problem der manuellen Annotation, das einerseits durch die Ermüdung aufgrund der Routinearbeit und andererseits durch die Subjektivität des Annotierenden zu Fehlern in der Annotation führen kann. Unterstützende Systeme, die dem Dokumentar genau diese Routinearbeit abnehmen, können hier bis zu einem gewissen Grad Abhilfe schaffen. Die wissenschaftliche Erschließung von beispielsweise filmbeiträgen wird der Dokumentar zwar immer noch selbst machen müssen und auch sollen, aber die Erkennung und Dokumentation von sog. Einstellungsgrenzen kann durchaus automatisch mit Unterstützung eines Rechners geschehen. In diesem Beitrag zeigen wir anhand von Projekten, die wir durchgeführt haben, wie weit diese Unterstützung des Dokumentars bei der Annotation von Bildern und Videos gehen kann

Source

Information - Wissenschaft und Praxis. 53(2002) H.1, S.15-21

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Source

Library and information science research. 14(1992) no.1, S.31-56

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Abstract

This paper traces the history of the concept of intellectual level in cataloging and classification in the United States. Past cataloging codes, subject-heading practice, and classification systems have provided library users with little systematic information concerning the intellectual level or intended audience of works. Reasons for this omission are discussed, and arguments are developed to show that this kind of information would be a useful addition to the catalog record of the present and the future.

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Abstract

Visual materials represent a significantly different type of communication to textual materials and therefore present distinct challenges for the process of retrieval, especially if by retireval we mean intellectual access to the content of images. This paper outlines the special characteristics of visual materials, focusing on their pontential complexity and subjectivity, and the methods used and explored for gaining access to visual materials as reported in the literature. It concludes that methods of access to visual materials are dominated by the relative mature systems developed for textual materials and that access methods based on visual communication are still largely in the developmental or prototype stage. Although reported research on user requirements in the retrieval of visual information is noticeably lacking, the results of at least one study indicate that the visually-based retrieval methods of structured and unstructered browsing seem to be preferred for visula materials and that effective retrieval methods are ultimately related to characteristics of the enquirer and the visual information sought

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Imprint

Medford, NJ : Learned Information

Source

Forging new partnerships in information: converging technologies. Proceedings of the 58th Annual Meeting of the American Society for Information Science, ASIS'95, Chicago, IL, 9-12 October 1995. Ed.: T. Kinney

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Abstract

Purpose - This paper endeavours to show the possibilities for thematic description of audio-visual documents for television with the aim of promoting and facilitating information retrieval. Design/methodology/approach - To achieve these goals different database fields are shown, as well as the way in which they are organised for indexing and thematic element description, analysed and used as an example. Some of the database fields are extracted from an analytical study of the documentary system of television in Spain. Others are being tested in university television on which indexing experiments are carried out. Findings - Not all thematic descriptions are used on television information systems; nevertheless, some television channels do use thematic descriptions of both image and sound, applying thesauri. Moreover, it is possible to access sequences using full text retrieval as well. Originality/value - The development of the documentary task, applying the described techniques, promotes thematic indexing and hence thematic retrieval. Given the fact that this is without doubt one of the aspects most demanded by television journalists (along with people's names). This conceptualisation translates into the adaptation of databases to new indexing methods.

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Source

Information, knowledge, evolution. Proceedings of the 44th FID Congress, Helsinki, 28.8.-1.9.1988. Ed. by S. Koshiala and R. Launo

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Abstract

Examines how an analytical framework to describe the contents of images may be extended to deal with time based materials like film and music. A levels of meanings table was developed and used as an indexing template for image retrieval purposes. Develops a concept of democratic indexing which focused on user interpretation. Describes the approach to image or pictorial information retrieval. Extends the approach in relation to fiction

Source

Information services and use. 17(1997) nos.2/3, S.101-109

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Abstract

The common view of the 'aboutness' of documents is that the index entries (or classifications) assigned to documents represent or indicate in some way the total contents of documents; indexing and classifying are seen as processes involving the 'summerization' of the texts of documents. In this paper an alternative concept of 'aboutness' is proposed based on an analysis of the linguistic organization of texts, which is felt to be more appropriate in many indexing environments (particularly in non-specialized libraries and information services) and which has implications for the evaluation of the effectiveness of indexing systems

Footnote

Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.93-97.

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Abstract

The arts, humanities, and social sciences commonly borrow concepts and methods from the sciences, but interdisciplinary borrowing seldom occurs in the opposite direction. Research on narrative discourse is relevant to problems of documentary storage and retrieval, for the arts and humanities in particular, but also for other broad areas of knowledge. This paper views the potential application of narrative discourse analysis to information storage and retrieval problems from 2 perspectives: 1) analysis and comparison of narrative documents in all disciplines may be simplified if fundamental categories that occur in narrative documents can be isolated; and 2) the possibility of subdividing the world of knowledge initially into narrative and non-narrative documents is explored with particular attention to Werlich's work on text types

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Abstract

It is a truism in information science that indexing is associated with 'aboutness', and that index terms that accurately represent what a document is about will serve the needs of the user/searcher well. It is contended in this paper that indexing which is limited to the representation of aboutness serves the novice in a discipline adequately, but does not serve the scholar or researcher, who is concerned with highly specific aspects of or points-of-view on a subject. The linguistic analogs of 'aboutness' and 'aspects' are 'topic' and 'comment' respectively. Serial indexing services deal with topics at varyng levels of specificity, but neglect comment almost entirely. This may explain the underutilization of secondary information services by scholars, as has been repeatedly demonstrated in user studies. It may also account for the incomplete lists of bibliographic references in many research papers. Natural language searching of fulltext databases does not solve this problem, because the aspect of a topic of interest to researchers is often inexpressible in concrete terms. The thesis is illustrated with examples of indexing failures in research projects the author has conducted on a range of linguistic and library-information science topics. Finally, the question of whether indexing can be improved to meet the needs of researchers is examined

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Abstract

The problem of multiple interpretations of meaning in the indexing process has been mostly avoided by information scientists. Among the few who have addressed this question are Clare Beghtol and Jens Erik Mai. Their findings and findings of other researchers in the area of information science, social psychology, and psycholinguistics indicate that the source of the problem might lie in the background and culture of each indexer or cataloger. Are the catalogers aware of the problem? A general model of the indexing process was developed from observations and interviews of 12 catalogers in three American academic libraries. The model is illustrated with a hypothetical cataloger's process. The study with catalogers revealed that catalogers are aware of the author's, the user's, and their own meaning, but do not try to accommodate them all. On the other hand, they make every effort to build common ground with catalog users by studying documents related to the document being cataloged, and by considering catalog records and subject headings related to the subject identified in the document being cataloged. They try to build common ground with other catalogers by using cataloging tools and by inferring unstated rules of cataloging from examples in the catalogs.

Source

Journal of the American Society for Information Science and technology. 55(2004) no.1, S.55-63

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Abstract

While it is easy to identify whether someone has found a piece of information during a search task, it is much harder to measure how much someone has learned during the search process. Searchers who are learning often exhibit exploratory behaviors, and so current research is often focused on improving support for exploratory search. Consequently, we need effective measures of learning to demonstrate better support for exploratory search. Some approaches, such as quizzes, measure recall when learning from a fixed source of information. This research, however, focuses on techniques for measuring open-ended learning, which often involve analyzing handwritten summaries produced by participants after a task. There are two common techniques for analyzing such summaries: (a) counting facts and statements and (b) judging topic coverage. Both of these techniques, however, can be easily confounded by simple variables such as summary length. This article presents a new technique that measures depth of learning within written summaries based on Bloom's taxonomy (B.S. Bloom & M.D. Engelhart, 1956). This technique was generated using grounded theory and is designed to be less susceptible to such confounding variables. Together, these three categories of measure were compared by applying them to a large collection of written summaries produced in a task-based study, and our results provide insights into each of their strengths and weaknesses. Both fact-to-statement ratio and our own measure of depth of learning were effective while being less affected by confounding variables. Recommendations and clear areas of future work are provided to help continued research into supporting sensemaking and learning.

Source

Journal of the American Society for Information Science and Technology. 64(2013) no.2, S.291-306

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Abstract

Creative professionals in advertising, marketing, design and journalism search for images to visually represent a concept for their project. The main purpose of this paper is to present search facets derived from an analysis of documents known as briefs, which are widely used in creative industries as requirement documents describing information needs. The briefs specify the type of image required, such as the content and context of use for the image and represent the topic from which the searcher builds an image query. We take three main sources-user image search behaviour, briefs, and image search engine search facets-to examine the search facets for image searching in order to examine the following research question-are search facet schemes for image search engines sufficient for user needs, or is revision needed? We found that there are three main classes of user search facet, which include business, contextual and image related information. The key argument in the paper is that the facet "keyword/tag" is ambiguous and does not support user needs for more generic descriptions to broaden search or specific descriptions to narrow their search-we suggest that a more detailed search facet scheme would be appropriate.

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Abstract

This article presents a theoretical investigation of the concept of 'subject' or 'subject matter' in library and information science. Most conceptions of 'subject' in the literature are not explicit but implicit. Various indexing and classification theories, including automatic indexing and citation indexing, have their own more or less implicit concepts of subject. This fact puts the emphasis on making the implicit theorie of 'subject matter' explicit as the first step. ... The different conceptions of 'subject' can therefore be classified into epistemological positions, e.g. 'subjective idealism' (or the empiric/positivistic viewpoint), 'objective idealism' (the rationalistic viewpoint), 'pragmatism' and 'materialism/realism'. The third and final step is to propose a new theory of subject matter based on an explicit theory of knowledge. In this article this is done from the point of view of a realistic/materialistic epistemology. From this standpoint the subject of a document is defined as the epistemological potentials of that document