Search (34 results, page 1 of 2)

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Abstract

Considers the theoretical questions involved in the indexing of fiction from several viewpoints: general principles of fiction indexing, and the making of book indexes for novels and other fictional works. Describes the work undertaken to develop fiction thesauri with particular reference to work done in Scandinavia, notably in the development of Kaunokki: the Finnish Thesaurus for Fiction, by Helsinki University Library and BTJ Group Ltd. Briefly presents notes on the structure of Kaunokkis with some examples of its practical use and user feedback from several years' experience of its use in Finnish public libraries. Concludes that the widest field for additional studies would be in the building up of special information systems for fiction.

Date

9. 2.1997 18:44:22

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Abstract

Information retrieval and exploration of work domains through databases and integrated information systems has become increasingly important in many modern work settings (as well as in libraries). The problem space of the users is defined on occasion by the dynamically changing requirements from their tasks and goals. it is argued that IR system design should be based on an analysis of the properties of the work domain, the task situation and the user characteristics. The paper describes a general framework for IR system design that has been used in the design of a library system. A special problem identified from use of the framework in domain analysis of fiction retrieval is treated in more detail: mapping the authors' domain structures to the domain structures expressed in users' needs in indexing and representation of fiction

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Abstract

This paper examines a user categorisation of documents related to a particular literary work. 50 study participants completed an unconstrained sorting rask of documents related to Charles Dickens' 'A christmas carol'. After they had finished the sorting task, participants wrote desriptions of the attributes they used to create each group. Content analysis of theses descriptions revealed categories of attributes used for grouping. Participants used physical format, audience, content description, pictorial elements, usage, and language most frequently for grouping. Many of the attributes participants used for grouping already exist in bibliographic records and may be used to cluster records related to works automatically in online catalogue displays. The attributes used by people in classifying or grouping documents related to a work may be used to guide the design of summary online catalogue work displays

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Abstract

FictionFinder is a FRBR-based prototype that provides access to over 2.9 million bibliographic records for fiction books, eBooks, and audio materials described in OCLC WorldCat. This project applies principles of the FRBR model to aggregate bibliographic information above the manifestation level. Records are clustered into works using the OCLC FRBR Work-Set Algorithm. The algorithm collects bibliographic records into groups based on author and title information from bibliographic and authority records. Author names and titles are normalized to construct a key. All records with the same key are grouped together in a work set.

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Abstract

Several systems for the classification of fiction have been proposed to date, but experience shows that such classification partially depends on the culture and literary education in specific countries. Slovenian public libraries have traditionally used UDC as the only subject information on belles-lettres. Research has shown that users would prefer richer subject information. Therefore an attempt was made to enhance UDC by adding subject information, that should be helpful to users and librarians. The newly proposed Alternative Model system contains lists of verbal and alpha-numerical denotations for the basic groups of belles-lettres book material (main-genres: lyrics, drama, epics) and all other categorical criteria (language of the original literary work, literature to which the work belongs, genre, sub-genre) and half-categorical (accessibility of the content of literary works, origin within the periods of literary history, the century in which the literary work was written, the rhythm of the language). All these lists are available, but not included in this paper. The idea of the Alternative Model system is to show the possibilities of making the classification of belles-lettres in libraries more helpful, efficient and exact.

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Abstract

This paper examines the need for increased subject catalog access to imaginative literature, focusing on the environment of the academic/research library. New trends in scholarship have created more need for such subject access. We can develop a basis for subject access to imaginative literature by examining the historical treatment of imaginative literature and by drawing upon the past and present work of librarians, other information professionals such as indexers, and literary scholars. While many information professionals have recognized a need for increased subject access to individual works of imagination, there has been no clear consensus on how to do this. This paper represents a step forward in that direction, showing how we might use LCSH to express the themes or topics of an imaginative work. It is important that such subject access be multi-dimensional, identifying both concrete and abstract levels of meaning. Using The Scarlet Letter by Nathaniel Hawthorne as an example, it is demonstrated how LC-type subject headings using LC subject terms with genre/form subdivisions can be developed.

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Abstract

Various approaches have been taken to organizing literary works, but finding the most effective set of metadata elements remains an unfinished task. This paper focuses on exploring five inductively built sets for organizing new literary works for discovery by members of the American literary community. The sets feature potential metadata elements drawn from a variety of sources, including present and proposed systems, as well as prior theoretical work. The paper describes a survey study that asked members of the American literary community for input about what potential metadata elements they would be likely to use to aid the process of discovering new literary work. The paper discusses the results for each set and discusses possibilities for a new set that combines the most desirable metadata elements from each of the separate sets.

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Abstract

Describes a new fiction indexing initiative by the British Library which seeks to redress the imbalance between the level of access provided for fiction and non fiction in library catalogues. From Jan 97, BNB catalogue records for works of fiction will be indexed using LCSH in conjunction with a range of genre and form headings derived from the ALA Guidelines on Subject Access to Individual Works of Fiction, Drama etc. (GSAFD). Looks at the implications for improving library services such as literature promotions and enquiry work

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Date

5. 8.2006 10:22:00

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Date

5. 8.2006 10:22:14

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Date

4. 8.2006 21:35:22

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Abstract

Fiction content analysis and retrieval are interesting specific topics for two major reasons: 1) the extensive use of fictional works; and, 2) the multimodality and interpretational nature of fiction. The primary challenge in the analysis of fictional content is that there is no single meaning to be analysed; the analysis is an ongoing process involving an interaction between the text produced by author, the reader and the society in which the interaction occurs. Furthermore, different audiences have specific needs to be taken into consideration. This article explores the topic of fiction knowledge organization, including both classification and indexing. It provides a broad and analytical overview of the literature as well as describing several experimental approaches and developmental projects for the analysis of fictional content. Traditional fiction indexing has been mainly based on the factual aspects of the work; this has then been expanded to handle different aspects of the fictional work. There have been attempts made to develop vocabularies for fiction indexing. All the major classification schemes use the genre and language/culture of fictional works when subdividing fictional works into subclasses. The evolution of shelf classification of fiction and the appearance of different types of digital tools have revolutionized the classification of fiction, making it possible to integrate both indexing and classification of fictional works.

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Abstract

The work is an adaptation of the author's dissertation and has the following chapters: (1) background and introduction; (2) a problem in classification theory; (3) previous fiction analysis theories and systems and 'The left hand of darkness'; (4) fiction warrant and critical warrant; (5) experimental fiction analysis system (EFAS); (6) application and evaluation of EFAS. Appendix 1 gives references to fiction analysis systems and appendix 2 lists EFAS coding sheets

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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

Subject headings and genre terms are notoriously difficult to apply, yet are important for fiction. The current project functions as a proof of concept, using a text-mining methodology to identify affective information (emotion and tone) about fiction titles from professional book reviews as a potential first step in automating the subject analysis process. Findings are presented and discussed, comparing results to the range of aboutness and isness information in library cataloging records. The methodology is likewise presented, and how future work might expand on the current project to enhance catalog records through text-mining is explored.

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Date

5. 8.2006 13:07:22

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Abstract

Purpose - Library Director Jarmo Saarti introduced a wide or ideal model for fiction in literature in his dissertation, published in 1999. It introduces those aspects that should be included in an information system for fiction. Such aspects include literary prose and its intertextual references to other works, the writer, readers' and critics' receptions of the work as well as a researcher's view. It is also important to note how libraries approach a literary work by means of inventory, classification and content description. The most ambiguous of the aspects relates to that context in cultural history, which the work reflects and is a part of. The paper aims to discuss these issues. Design/methodology/approach - Since the model consists of several components which are not found in present library information systems and cannot be implemented by them, a new way had to be found to produce, save, process and present fiction-related metadata. The Semantic Computing Research Group of Aalto University has developed several Semantic Web services for use in the field of culture, so cooperation with it and the use of Semantic Web tools were a natural starting point for the construction of the new service. Kirjasampo will be based on the Semantic Web RDF data model. The model enables a flexible linking of metadata derived from different sources, and it can be used to build a Semantic Web that can be approached contextually from different angles. Findings - The "semantically enriched" ideal model for fiction has hence been realised, at least to some extent: Kirjasampo supports literature-related metadata that is more varied than earlier and aims to account for different contexts within literature and connections with regard to other cultural phenomena. It also includes contemporary reviews of works and, as such, readers' receptions as well. Modern readers can share their views on works, once the user interface of the server is completed. It will include several features from the Kirjasto 2.0-application, which enables the evaluation, description and recommendations of works. The service should be online by the end of Spring 2011. Research limitations/implications - The project involves novel collaboration between a public library and a computer science research unit, and utilises a novel approach to the description of fiction. Practical implications - The system encourages user participation in the description of fiction and is of practical benefit to librarians in understanding both how fiction is organised and how users interpret the same. Originality/value - Upon completion, the service will be the first Finnish information system for libraries built with the tools of the Semantic Web which offers a completely new user environment and application for data produced by libraries. It also strives to create a new model for saving and producing data, available to both library professionals and readers. The aim is to save, accumulate and distribute literary knowledge, experiences and silent information.

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Abstract

This article reports research that used descriptor subfields in MLA Bibliography online to quantify literary warrant in the domain of scholarly work about fiction (i.e., 'fiction studies'). The research used Hulme's concept of literary warrant and Kernan's description of the interactive processes of literature and literary scholarship to justify quantifying existing subject indexing in existing bibliographic records as a first step in the domain analysis of a field. It was found that certain of the MLA Bibliography onle's descriptor subfields and certain of the descriptor terms within those subfields occured more often than would occur by chance. The techniques used in the research might be extended to domain analysis of other fields. Use of the methodology might improve the ability to evaluate existing and to design future subject access systems

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Abstract

Displays grouping retrieved bibliographic record sets into categories or clusters may communicate search results more quickly and effectively to users than current catalogs providing long alphabetical lists of records. In this research, automatic clustering based on types of relationships, including translation, presence of illustrations, etc., is proposed as a model for clustering. Bibliographic records associated with three large fiction works (Kidnapped by Robert Lewis Stevenson, Bleak House by Charles Dickens, and Three Musketeers by Alexandre Dumas) are analyzed to discover the presence of relationship-type indicators to determine the extent to which an automatic clustering program would succeed in clustering work records. Preliminary results show that 94 percent of the records in this study contained indicators of cluster type that would allow them to be correctly identified automatically