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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

The Swedish Library Association's Fiction Indexing Committee was founded in 2005. The subject headings consist of two separate lists, subject headings of fiction for children and subject headings of fiction for adults. The Committee consists of librarians working at different types of libraries and at BTJ, a bibliographic agency. This enables the development of a standard for indexing fiction that is useful to different libraries and institutions. Cooperation means that the lists will be deployed in a consistent way. The participation of a bibliographic agency ensures a wide implementation in the catalogs of public libraries and school libraries.

Footnote

Contribution in a special issue "Beyond libraries: Subject metadata in the digital environment and Semantic Web" - Enthält Beiträge der gleichnamigen IFLA Satellite Post-Conference, 17-18 August 2012, Tallinn.

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Abstract

Kirjasampo.fi is a Web service for fiction. It was constructed after rethinking all the phases of metadata production, and is the first Finnish information system for libraries to be built with the tools of the Semantic Web. Kirjasampo is based on a metadata schema for fiction that uses a Resource Description Framework (RDF) data model. A user-friendly annotation editor enables library professionals to save, accumulate, and distribute literary knowledge and tacit information. The goal of Kirjasampo is to describe the contents of literary works based on the Functional Requirements for Bibliographic Records. Content description is done using ontologies, which enable a flexible linking of metadata.

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Abstract

This paper presents a Web intelligence portal that captures and aggregates news and social media coverage about "Game of Thrones", an American drama television series created for the HBO television network based on George R.R. Martin's series of fantasy novels. The system collects content from the Web sites of Anglo-American news media as well as from four social media platforms: Twitter, Facebook, Google+ and YouTube. An interactive dashboard with trend charts and synchronized visual analytics components not only shows how often Game of Thrones events and characters are being mentioned by journalists and viewers, but also provides a real-time account of concepts that are being associated with the unfolding storyline and each new episode. Positive or negative sentiment is computed automatically, which sheds light on the perception of actors and new plot elements.

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Series

Communications in computer and information science; 631

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Abstract

Purpose - The subject description of novels in library catalogues is traditionally limited to the classification number with no description of the story. On the other hand, enthusiastic readers describe novels by tags or reviews in Web services. The purpose of this paper is to analyse readers' descriptions of novels and suggest an enhancement of the catalogue record which would be useful to the readers. Design/methodology/approach - The original research involved a content analysis of tags and reviews written by users in the online bookstore Amazon.com, the online reader advisory service LibraryThing, and the reading promotion project Primorci beremo. The results were compared to previously published results. Findings - The characteristics that most frequently elicit comments by readers are: the names of the creators and literary characters, geographic names and the titles of works, the time frame in which the story takes place, and the literary genre. Their evaluation of a novel was expressed with an opinion, an analysis, or a professional review. Awards were mentioned, and readers often also expressed their personal experience with the novel. They connected the novel with a sequel or series, with otherwise related novels, movies, etc. Often, pictures of the cover and other factual data were included. Research limitations/implications - Research was limited to readers' experiences and descriptions of literary works written in prose. Practical implications - It is suggested that the time frame, genre and awards received should be included in the functional requirements models. Originality/value - Original research was conducted over a longer period of time. The results were re-evaluated and compared to previously published results from studies by different researchers.