Search (49 results, page 1 of 3)

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  1. Pejtersen, A.M.: Design of a classification scheme for fiction based on an analysis of actual user-librarian communication, and use of the scheme for control of librarians' search strategies (1980) 0.06 
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    Date
    5. 8.2006 13:22:44
  2. Raieli, R.: ¬The semantic hole : enthusiasm and caution around multimedia information retrieval (2012) 0.05 
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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.
    Date
    22. 1.2012 13:02:10
    Source
    Knowledge organization. 39(2012) no.1, S.13-22
  3. Nohr, H.: ¬The training of librarians in content analysis : some thoughts on future necessities (1991) 0.03 
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    Abstract
    The training of librarians in content analysis undergoes influences resulting both from the realities existing in the various application fields and from technological innovations. The present contribution attempts to identify components of such training that are necessary for a future-oriented instruction, and it stresses the importance of furnishing a sound theoretical basis, especially in the light of technological developments. Purpose of the training is to provide the foundation for 'action competence' on the part of the students
  4. Nahl-Jakobovits, D.; Jakobovits, L.A.: ¬A content analysis method for developing user-based objectives (1992) 0.02 
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    Abstract
    The article explains content analysis, a method whereby statements taken from oral or written library user comments are labeled as particular speech acts. These speech acts are then categorized into the three behavioral domains: affective, cognitive, and sonsorimotor, ansd used to construct user-based instructional objectives
  5. Hjoerland, B.: Subject representation and information seeking : contributions to a theory based on the theory of knowledge (1993) 0.02 
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  6. Morehead, D.R.; Pejtersen, A.M.; Rouse, W.B.: ¬The value of information and computer-aided information seeking : problem formulation and application to fiction retrieval (1984) 0.02 
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    Abstract
    Issues concerning the formulation and application of a model of how humans value information are examined. Formulation of a value function is based on research from modelling, value assessment, human information seeking behavior, and human decision making. The proposed function is incorporated into a computer-based fiction retrieval system and evaluated using data from nine searches. Evaluation is based on the ability of an individual's value function to discriminate among novels selected, rejected, and not considered. The results are discussed in terms of both formulation and utilization of a value function as well as the implications for extending the proposed formulation to other information seeking environments
  7. Xie, H.; Li, X.; Wang, T.; Lau, R.Y.K.; Wong, T.-L.; Chen, L.; Wang, F.L.; Li, Q.: Incorporating sentiment into tag-based user profiles and resource profiles for personalized search in folksonomy (2016) 0.02 
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    Abstract
    In recent years, there has been a rapid growth of user-generated data in collaborative tagging (a.k.a. folksonomy-based) systems due to the prevailing of Web 2.0 communities. To effectively assist users to find their desired resources, it is critical to understand user behaviors and preferences. Tag-based profile techniques, which model users and resources by a vector of relevant tags, are widely employed in folksonomy-based systems. This is mainly because that personalized search and recommendations can be facilitated by measuring relevance between user profiles and resource profiles. However, conventional measurements neglect the sentiment aspect of user-generated tags. In fact, tags can be very emotional and subjective, as users usually express their perceptions and feelings about the resources by tags. Therefore, it is necessary to take sentiment relevance into account into measurements. In this paper, we present a novel generic framework SenticRank to incorporate various sentiment information to various sentiment-based information for personalized search by user profiles and resource profiles. In this framework, content-based sentiment ranking and collaborative sentiment ranking methods are proposed to obtain sentiment-based personalized ranking. To the best of our knowledge, this is the first work of integrating sentiment information to address the problem of the personalized tag-based search in collaborative tagging systems. Moreover, we compare the proposed sentiment-based personalized search with baselines in the experiments, the results of which have verified the effectiveness of the proposed framework. In addition, we study the influences by popular sentiment dictionaries, and SenticNet is the most prominent knowledge base to boost the performance of personalized search in folksonomy.
  8. Austin, J.; Pejtersen, A.M.: Fiction retrieval: experimental design and evaluation of a search system based on user's value criteria. Pt.1 (1983) 0.02 
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  9. Pejtersen, A.M.: Design of a computer-aided user-system dialogue based on an analysis of users' search behaviour (1984) 0.02 
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  10. Pejtersen, A.M.: Implications of users' value perception for the design of knowledge based bibliographic retrieval systems (1985) 0.02 
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  11. Wyllie, J.: Concept indexing : the world beyond the windows (1990) 0.02 
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    Abstract
    This paper argues that the realisation of the electronic hypermedia of the future depends on integrating the technology of free text retrieval with the classification-based discipline of content analysis
  12. Chen, H.; Ng, T.: ¬An algorithmic approach to concept exploration in a large knowledge network (automatic thesaurus consultation) : symbolic branch-and-bound search versus connectionist Hopfield Net Activation (1995) 0.02 
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    Abstract
    Presents a framework for knowledge discovery and concept exploration. In order to enhance the concept exploration capability of knowledge based systems and to alleviate the limitation of the manual browsing approach, develops 2 spreading activation based algorithms for concept exploration in large, heterogeneous networks of concepts (eg multiple thesauri). One algorithm, which is based on the symbolic AI paradigma, performs a conventional branch-and-bound search on a semantic net representation to identify other highly relevant concepts (a serial, optimal search process). The 2nd algorithm, which is absed on the neural network approach, executes the Hopfield net parallel relaxation and convergence process to identify 'convergent' concepts for some initial queries (a parallel, heuristic search process). Tests these 2 algorithms on a large text-based knowledge network of about 13.000 nodes (terms) and 80.000 directed links in the area of computing technologies
  13. Greisdorf, H.; O'Connor, B.: Modelling what users see when they look at images : a cognitive viewpoint (2002) 0.02 
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    Abstract
    Analysis of user viewing and query-matching behavior furnishes additional evidence that the relevance of retrieved images for system users may arise from descriptions of objects and content-based elements that are not evident or not even present in the image. This investigation looks at how users assign pre-determined query terms to retrieved images, as well as looking at a post-retrieval process of image engagement to user cognitive assessments of meaningful terms. Additionally, affective/emotion-based query terms appear to be an important descriptive category for image retrieval. A system for capturing (eliciting) human interpretations derived from cognitive engagements with viewed images could further enhance the efficiency of image retrieval systems stemming from traditional indexing methods and technology-based content extraction algorithms. An approach to such a system is posited.
  14. Sauperl, A.: Subject determination during the cataloging process : the development of a system based on theoretical principles (2002) 0.02 
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    Date
    27. 9.2005 14:22:19
  15. Roberts, C.W.; Popping, R.: Computer-supported content analysis : some recent developments (1993) 0.02 
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    Abstract
    Presents an overview of some recent developments in the clause-based content analysis of linguistic data. Introduces network analysis of evaluative texts, for the analysis of cognitive maps, and linguistic content analysis. Focuses on the types of substantive inferences afforded by the three approaches
  16. Endres-Niggemeyer, B.: Content analysis : a special case of text compression (1989) 0.02 
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    Abstract
    Presents a theoretical model, based on the Flower/Hayes model of expository writing, of the process involved in content analysis for abstracting and indexing.
  17. Naun, C.C.: Objectivity and subject access in the print library (2006) 0.02 
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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.
  18. Nahotko, M.: Genre groups in knowledge organization (2016) 0.02 
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    Abstract
    The article is an introduction to the development of Andersen's concept of textual tools used in knowledge organization (KO) in light of the theory of genres and activity systems. In particular, the question is based on the concepts of genre connectivity and genre group, in addition to previously established concepts such as genre hierarchy, set, system, and repertoire. Five genre groups used in KO are described. The analysis of groups, systems, and selected genres used in KO is provided, based on the method proposed by Yates and Orlikowski. The aim is to show the genre system as a part of the activity system, and thus as a framework for KO.
  19. Enser, P.G.B.; Sandom, C.J.; Hare, J.S.; Lewis, P.H.: Facing the reality of semantic image retrieval (2007) 0.01 
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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.
  20. Winget, M.: Describing art : an alternative approach to subject access and interpretation (2009) 0.01 
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    Abstract
    Purpose - The purpose of this paper is to examine the art historical antecedents of providing subject access to images. After reviewing the assumptions and limitations inherent in the most prevalent descriptive method, the paper seeks to introduce a new model that allows for more comprehensive representation of visually-based cultural materials. Design/methodology/approach - The paper presents a literature-based conceptual analysis, taking Panofsky's theory of iconography and iconology as the starting-point. Panofsky's conceptual model, while appropriate for art created in the Western academic tradition, ignores or misrepresents work from other eras or cultures. Continued dependence on Panofskian descriptive methods limits the functionality and usefulness of image representation systems. Findings - The paper recommends the development of a more precise and inclusive descriptive model for art objects, which is based on the premise that art is not another sort of text, and should not be interpreted as such. Practical implications - The paper provides suggestions for the development of representation models that will enhance the description of non-textual artifacts. Originality/value - The paper addresses issues in information science, the history of art, and computer science, and suggests that a new descriptive model would be of great value to both humanist and social science scholars.

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