-
Raieli, R.: ¬The semantic hole : enthusiasm and caution around multimedia information retrieval (2012)
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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
- Footnote
- Bezugnahme auf: Enser, P.G.B.: Visual image retrieval. In: Annual review of information science and technology. 42(2008), S.3-42.
- Source
- Knowledge organization. 39(2012) no.1, S.13-22
- Theme
- Multimedia
-
Berinstein, P.: Moving multimedia : the information value in images (1997)
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- Abstract
- Considers the role of pictures in information communication, comparing the way it conveys information with text. Categorises the purposes of images as conveyors of information: the instructional image, the documentary image, the location image, the graphical representation of numbers, the concepts image, the image making the unseen visible, the image as a surrogate for an object or document, the decorative image, the image as a statement, the strong image and the emotional image. Gives examples of how the value of images is being recognised and of how they can be used well
-
Beghtol, C.: Toward a theory of fiction analysis for information storage and retrieval (1992)
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- Date
- 5. 8.2006 13:22:08
-
Belkin, N.J.: ¬The problem of 'matching' in information retrieval (1980)
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- Source
- Theory and application of information research. Proc. of the 2nd Int. Research Forum on Information Science, 3.-6.8.1977, Copenhagen. Ed.: O. Harbo u. L. Kajberg
-
Rowe, N.C.: Inferring depictions in natural-language captions for efficient access to picture data (1994)
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- Abstract
- Multimedia data can require significant examination time to find desired features ('content analysis'). An alternative is using natural-language captions to describe the data, and matching captions to English queries. But it is hard to include everything in the caption of a complicated datum, so significant content analysis may still seem required. We discuss linguistic clues in captions, both syntactic and semantic, that can simplify or eliminate content analysis. We introduce the notion of content depiction and ruled for depiction inference. Our approach is implemented in an expert system which demonstrated significant increases in recall in experiments
- Source
- Information processing and management. 30(1994) no.3, S.379-388
-
Zarri, G.P.: Indexing and querying of narrative documents, a knowledge representation approach (2003)
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- Abstract
- We describe here NKRL (Narrative Knowledge Representation Language), a semantic formalism for taking into account the characteristics of narrative multimedia documents. In these documents, the information content consists in the description of 'events' that relate the real or intended behaviour of some 'actors' (characters, personages, etc.). Narrative documents of an economic interest correspond to news stories, corporate documents, normative and legal texts, intelligence messages, representation of patient's medical records, etc. NKRL is characterised by the use of several knowledge representation principles and several high-level inference tools.
-
Krause, J.: Principles of content analysis for information retrieval systems : an overview (1996)
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-
Rorissa, A.; Iyer, H.: Theories of cognition and image categorization : what category labels reveal about basic level theory (2008)
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- Abstract
- Information search and retrieval interactions usually involve information content in the form of document collections, information retrieval systems and interfaces, and the user. To fully understand information search and retrieval interactions between users' cognitive space and the information space, researchers need to turn to cognitive models and theories. In this article, the authors use one of these theories, the basic level theory. Use of the basic level theory to understand human categorization is both appropriate and essential to user-centered design of taxonomies, ontologies, browsing interfaces, and other indexing tools and systems. Analyses of data from two studies involving free sorting by 105 participants of 100 images were conducted. The types of categories formed and category labels were examined. Results of the analyses indicate that image category labels generally belong to superordinate to the basic level, and are generic and interpretive. Implications for research on theories of cognition and categorization, and design of image indexing, retrieval and browsing systems are discussed.
- Source
- Journal of the American Society for Information Science and Technology. 59(2008) no.9, S.1383-1392
-
Pejtersen, A.M.: Implications of users' value perception for the design of knowledge based bibliographic retrieval systems (1985)
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- Source
- 2nd Symposium on Empirical Foundations of Information and Software Science, 3.-5.10.84, Atlanta
-
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)
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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
- Source
- Information processing and management. 20(1984), S.583-601
-
Bednarek, M.: Intellectual access to pictorial information (1993)
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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
-
Hidderley, R.; Rafferty, P.: Democratic indexing : an approach to the retrieval of fiction (1997)
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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
-
Beghtol, C.: Stories : applications of narrative discourse analysis to issues in information storage and retrieval (1997)
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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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Bertola, F.; Patti, V.: Ontology-based affective models to organize artworks in the social semantic web (2016)
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- Abstract
- In this paper, we focus on applying sentiment analysis to resources from online art collections, by exploiting, as information source, tags intended as textual traces that visitors leave to comment artworks on social platforms. We present a framework where methods and tools from a set of disciplines, ranging from Semantic and Social Web to Natural Language Processing, provide us the building blocks for creating a semantic social space to organize artworks according to an ontology of emotions. The ontology is inspired by the Plutchik's circumplex model, a well-founded psychological model of human emotions. Users can be involved in the creation of the emotional space, through a graphical interactive interface. The development of such semantic space enables new ways of accessing and exploring art collections. The affective categorization model and the emotion detection output are encoded into W3C ontology languages. This gives us the twofold advantage to enable tractable reasoning on detected emotions and related artworks, and to foster the interoperability and integration of tools developed in the Semantic Web and Linked Data community. The proposal has been evaluated against a real-word case study, a dataset of tagged multimedia artworks from the ArsMeteo Italian online collection, and validated through a user study.
- Source
- Information processing and management. 52(2016) no.1, S.139-162
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Caldera-Serrano, J.: Thematic description of audio-visual information on television (2010)
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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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Tibbo, H.R.: Abstracting across the disciplines : a content analysis of abstracts for the natural sciences, the social sciences, and the humanities with implications for abstracting standards and online information retrieval (1992)
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- Source
- Library and information science research. 14(1992) no.1, S.31-56
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Hjoerland, B.: Towards a theory of aboutness, subject, topicality, theme, domain, field, content ... and relevance (2001)
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- Abstract
- Theories of aboutness and theories of subject analysis and of related concepts such as topicality are often isolated from each other in the literature of information science (IS) and related disciplines. In IS it is important to consider the nature and meaning of these concepts, which is closely related to theoretical and metatheoretical issues in information retrieval (IR). A theory of IR must specify which concepts should be regarded as synonymous concepts and explain how the meaning of the nonsynonymous concepts should be defined
- Source
- Journal of the American Society for Information Science and technology. 52(2001) no.9, S.774-778
- Theme
- Information
-
Rorissa, A.: User-generated descriptions of individual images versus labels of groups of images : a comparison using basic level theory (2008)
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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.
- Source
- Information processing and management. 44(2008) no.5, S.1741-1753
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Yoon, J.W.: Utilizing quantitative users' reactions to represent affective meanings of an image (2010)
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- Abstract
- Emotional meaning is critical for users to retrieve relevant images. However, because emotional meanings are subject to the individual viewer's interpretation, they are considered difficult to implement when designing image retrieval systems. With the intent of making an image's emotional messages more readily accessible, this study aims to test a new approach designed to enhance the accessibility of emotional meanings during the image search process. This approach utilizes image searchers' emotional reactions, which are quantitatively measured. Broadly used quantitative measurements for emotional reactions, Semantic Differential (SD) and Self-Assessment Manikin (SAM), were selected as tools for gathering users' reactions. Emotional representations obtained from these two tools were compared with three image perception tasks: searching, describing, and sorting. A survey questionnaire with a set of 12 images was administered to 58 participants, which were tagged with basic emotions. Results demonstrated that the SAM represents basic emotions on 2-dimensional plots (pleasure and arousal dimensions), and this representation consistently corresponded to the three image perception tasks. This study provided experimental evidence that quantitative users' reactions can be a useful complementary element of current image retrieval/indexing systems. Integrating users' reactions obtained from the SAM into image browsing systems would reduce the efforts of human indexers as well as improve the effectiveness of image retrieval systems.
- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.7, S.1345-1359
-
Hutchins, W.J.: ¬The concept of 'aboutness' in subject indexing (1978)
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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.
