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  1. Jörgensen, C.: ¬The applicability of selected classification systems to image attributes (1996) 0.01 
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    Pages
    S.189-197
    Source
    Knowledge organization and change: Proceedings of the Fourth International ISKO Conference, 15-18 July 1996, Library of Congress, Washington, DC. Ed.: R. Green
    Type
    a
  2. Buckland, M.; Shaw, R.: 4W vocabulary mapping across diiverse reference genres (2008) 0.01 
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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.
    Pages
    S.151-156
    Type
    a
  3. Nagel, H.: From image sequences towards conceptual descriptions (1988) 0.01 
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    Source
    Image and vision computing. 6(1988) no.2, S.59-74
    Type
    a
  4. Green, R.: ¬The role of relational structures in indexing for the humanities (1997) 0.01 
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    Abstract
    The paper is divided into 3 parts. The 1st develops a framework for evaluating the indexing needs of the humanities with reference to 4 sets of contrasts: user (need)-oriented vs. document-oriented indexing; subject indexing vs. attribute indexing; scientific writing vs. humanistic writing; and topical relevance vs. logical relevance vs. evidential relevance vs. aesthetic relevance. The indexing needs for the humanities range broadly across these contrasts. The 2nd part establishes the centrality of relationships to the communication of indexable matter and examines the advantages and disadvantages of means used for their expression inboth natural languages and indexing languages. The use of relational structure, such as a frame, is shown to represent perhaps the best available option. The 3rd part illustrates where the use of relational structures in humanities indexing would help meet some of the needs previously identified. Although not a panacea, the adoption of frame-based indexing in the humanities might substantially improve the retrieval of its literature
    Source
    Knowledge organization. 24(1997) no.2, S.72-83
    Type
    a
  5. Andersson, R.; Holst, E.: Indexes and other depictions of fictions : a new model for analysis empirically tested (1996) 0.01 
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    Abstract
    In this study descriptions of a novel by 100 users at 2 Swedish public libraries, Malmö and Molndal, Mar-Apr 95, were compared to the index terms used for the novels at these libraries. Describes previous systems for fiction indexing, the 2 libraries, and the users interviewed. Compares the AMP system with their own model. The latter operates with terms under the headings phenomena, frame and author's intention. The similarities between the users' and indexers' descriptions were sufficiently close to make it possible to retrieve fiction in accordance with users' wishes in Molndal, and would have been in Malmö, had more books been indexed with more terms. Sometimes the similarities were close enough for users to retrieve fiction on their own
    Source
    Svensk biblioteks forskning. 1996, nos.2/3, S.77-95
    Type
    a
  6. Thelwall, M.; Buckley, K.; Paltoglou, G.: Sentiment strength detection for the social web (2012) 0.01 
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    Abstract
    Sentiment analysis is concerned with the automatic extraction of sentiment-related information from text. Although most sentiment analysis addresses commercial tasks, such as extracting opinions from product reviews, there is increasing interest in the affective dimension of the social web, and Twitter in particular. Most sentiment analysis algorithms are not ideally suited to this task because they exploit indirect indicators of sentiment that can reflect genre or topic instead. Hence, such algorithms used to process social web texts can identify spurious sentiment patterns caused by topics rather than affective phenomena. This article assesses an improved version of the algorithm SentiStrength for sentiment strength detection across the social web that primarily uses direct indications of sentiment. The results from six diverse social web data sets (MySpace, Twitter, YouTube, Digg, Runners World, BBC Forums) indicate that SentiStrength 2 is successful in the sense of performing better than a baseline approach for all data sets in both supervised and unsupervised cases. SentiStrength is not always better than machine-learning approaches that exploit indirect indicators of sentiment, however, and is particularly weaker for positive sentiment in news-related discussions. Overall, the results suggest that, even unsupervised, SentiStrength is robust enough to be applied to a wide variety of different social web contexts.
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.1, S.163-173
    Type
    a
  7. Kessel, K.: Who's afraid of the big, bad uktena mster? : subject cataloging for images (2016) 0.01 
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    Abstract
    This article describes the difference between cataloging images and cataloging books, the obstacles to including subject data in image cataloging records and how these obstacles can be overcome to make image collections more accessible. I call for participants to help create a subject authority reference resource for non-Western art. This article is an expanded and revised version of a presentation for the 2016 Joint ARLIS/VRA conference in Seattle.
    Type
    a
  8. Hjoerland, B.: Subject (of documents) (2016) 0.01 
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    Abstract
    This article presents and discusses the concept "subject" or subject matter (of documents) as it has been examined in library and information science (LIS) for more than 100 years. Different theoretical positions are outlined and it is found that the most important distinction is between document-oriented views versus request-oriented views. The document-oriented view conceive subject as something inherent in documents, whereas the request-oriented view (or the policy based view) understand subject as an attribution made to documents in order to facilitate certain uses of them. Related concepts such as concepts, aboutness, topic, isness and ofness are also briefly presented. The conclusion is that the most fruitful way of defining "subject" (of a document) is the documents informative or epistemological potentials, that is, the documents potentials of informing users and advance the development of knowledge.
    Content
    Contents: 1. Introduction; 2. Theoretical views: 2.1 Charles Ammi Cutter (1837-1903), 2.2 S. R. Ranganathan (1892-1972), 2.3 Patrick Wilson (1927-2003), 2.4 "Content oriented" versus "request oriented" views, 2.5 Issues of subjectivity and objectivity, 2.6 The subject knowledge view, 2.7 Other views and definitions; 3. Related concepts: 3.1 Words versus concepts versus subjects, 3.2 Aboutness, 3.3 Topic, 3.4 Isness, 3.5 Ofness, 3.6 Theme.
    Type
    a
  9. Hauff-Hartig, S.: Automatische Transkription von Videos : Fernsehen 3.0: Automatisierte Sentimentanalyse und Zusammenstellung von Kurzvideos mit hohem Aufregungslevel KI-generierte Metadaten: Von der Technologiebeobachtung bis zum produktiven Einsatz (2021) 0.01 
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    Date
    22. 5.2021 12:43:05
    Type
    a
  10. Franke-Maier, M.; Harbeck, M.: Superman = Persepolis = Naruto? : Herausforderungen und Probleme der formalen und inhaltlichen Vielfalt von Comics und Comicforschung für die Regensburger Verbundklassifikation (2016) 0.01 
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    Content
    https://www.o-bib.de/article/view/2016H4S186-201. DOI: http://dx.doi.org/10.5282/o-bib/2016H4S186-201. Vortrag, Leipziger Bibliothekskongresses 2016.
    Source
    o-bib: Das offene Bibliotheksjournal. 3(2016) Nr.4, S.243-256
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    a
  11. White, M.D.; Marsh, E.E.: Content analysis : a flexible methodology (2006) 0.01 
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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
    Type
    a
  12. Schulzki-Haddouti, C.; Brückner, A.: ¬Die Suche nach dem Sinn : Automatische Inhaltsanalyse nicht nur für Geheimdienste (2001) 0.00 
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    Source
    c't. 2001, H.6, S.316-324
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    a
  13. Nohr, H.: Inhaltsanalyse (1999) 0.00 
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    Source
    nfd Information - Wissenschaft und Praxis. 50(1999) H.2, S.69-78
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    a
  14. Nohr, H.: ¬The training of librarians in content analysis : some thoughts on future necessities (1991) 0.00 
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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
    Source
    International classification. 18(1991) no.3, S.153-157
    Type
    a
  15. Chen, H.: ¬An analysis of image queries in the field of art history (2001) 0.00 
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    Abstract
    Chen arranged with an Art History instructor to require 20 medieval art images in papers received from 29 students. Participants completed a self administered presearch and postsearch questionnaire, and were interviewed after questionnaire analysis, in order to collect both the keywords and phrases they planned to use, and those actually used. Three MLIS student reviewers then mapped the queries to Enser and McGregor's four categories, Jorgensen's 12 classes, and Fidel's 12 feature data and object poles providing a degree of match on a seven point scale (one not at all to 7 exact). The reviewers give highest scores to Enser and McGregor;'s categories. Modifications to both the Enser and McGregor and Jorgensen schemes are suggested
    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.3, S.260-273
    Type
    a
  16. Weimer, K.H.: ¬The nexus of subject analysis and bibliographic description : the case of multipart videos (1996) 0.00 
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    Source
    Cataloging and classification quarterly. 22(1996) no.2, S.5-18
    Type
    a
  17. 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) 0.00 
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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
    Source
    Journal of the American Society for Information Science. 46(1995) no.5, S.348-369
    Type
    a
  18. Greisdorf, H.; O'Connor, B.: Modelling what users see when they look at images : a cognitive viewpoint (2002) 0.00 
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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.
    Source
    Journal of documentation. 58(2002) no.1, S.6-29
    Type
    a
  19. Saif, H.; He, Y.; Fernandez, M.; Alani, H.: Contextual semantics for sentiment analysis of Twitter (2016) 0.00 
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    Abstract
    Sentiment analysis on Twitter has attracted much attention recently due to its wide applications in both, commercial and public sectors. In this paper we present SentiCircles, a lexicon-based approach for sentiment analysis on Twitter. Different from typical lexicon-based approaches, which offer a fixed and static prior sentiment polarities of words regardless of their context, SentiCircles takes into account the co-occurrence patterns of words in different contexts in tweets to capture their semantics and update their pre-assigned strength and polarity in sentiment lexicons accordingly. Our approach allows for the detection of sentiment at both entity-level and tweet-level. We evaluate our proposed approach on three Twitter datasets using three different sentiment lexicons to derive word prior sentiments. Results show that our approach significantly outperforms the baselines in accuracy and F-measure for entity-level subjectivity (neutral vs. polar) and polarity (positive vs. negative) detections. For tweet-level sentiment detection, our approach performs better than the state-of-the-art SentiStrength by 4-5% in accuracy in two datasets, but falls marginally behind by 1% in F-measure in the third dataset.
    Source
    Information processing and management. 52(2016) no.1, S.5-19
    Type
    a
  20. Miene, A.; Hermes, T.; Ioannidis, G.: Wie kommt das Bild in die Datenbank? : Inhaltsbasierte Analyse von Bildern und Videos (2002) 0.00 
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    Source
    Information - Wissenschaft und Praxis. 53(2002) H.1, S.15-21
    Type
    a

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