2,677 research outputs found

    DARIAH and the Benelux

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    Libraries and Museums in the Flat World: Are They Becoming Virtual Destinations?

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    In his recent book, “TheWorld is Flat”, Thomas L. Friedman reviews the impact of networks on globalization. The emergence of the Internet, web browsers, computer applications talking to each other through the Internet, and the open source software, among others, made the world flatter and created an opportunity for individuals to collaborate and compete globally. Friedman predicts that “connecting all the knowledge centers on the planet together into a single global network…could usher in an amazing era of prosperity and innovation”. Networking also is changing the ways by which libraries and museums provide access to information sources and services. In the flat world, libraries and museums are no longer a physical “place” only: they are becoming “virtual destinations”. This paper discusses the implications of this transformation for the digitization and preservation of, and access to, cultural heritage resources

    Applying Semantic Web Technologies to Medieval Manuscript Research

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    Medieval manuscript research is a complex, fragmented, multilingual field of knowledge, which is difficult to navigate, analyse and exploit. Though printed sources are still of great importance and value to researchers, there are now many services on the Web, some commercial and many in the public domain. At present, these services have to be consulted separately and individually. They employ a range of different descriptive standards and vocabularies, and use a variety of technologies to make their information available on the Web. This chapter proposes a new approach to organizing the international collaborative infrastructure for interlinking knowledge and research about medieval European manuscripts, based on technologies associated with the Semantic Web and the Linked Data movement. This collaborative infrastructure will be an open space on the Web where information about medieval manuscripts can be shared, stored, exchanged and updated for research purposes. It will be possible to ask large-scale research questions across the virtual global manuscript collection, in a quicker and more effective way than has ever been feasible in the past. The proposed infrastructure will focus on building links between data and will provide the basis for new kinds of services which exploit these data. It will not aim to impose a single metadata standard on existing manuscript services, but will build on existing databases and vocabularies. The article describes the architecture, services and data which will comprise this infrastructure, and discusses strategies for making th challenging and exciting goal a reality

    Artefacts and Errors: Acknowledging Issues of Representation in the Digital: Imaging of Ancient Texts

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    It is assumed, in palaeography, papyrology and epigraphy, that a certain amount of uncertainty is inherent in the reading of damaged and abraded texts. Yet we have not really grappled with the fact that, nowadays, as many scholars tend to deal with digital images of texts, rather than handling the texts themselves, the procedures for creating digital images of texts can insert further uncertainty into the representation of the text created. Technical distortions can lead to the unintentional introduction of ‘artefacts’ into images, which can have an effect on the resulting representation. If we cannot trust our digital surrogates of texts, can we trust the readings from them? How do scholars acknowledge the quality of digitised images of texts? Furthermore, this leads us to the type of discussions of representation that have been present in Classical texts since Plato: digitisation can be considered as an alternative form of representation, bringing to the modern debate of the use of digital technology in Classics the familiar theories of mimesis (imitation) and ekphrasis (description): the conversion of visual evidence into explicit descriptions of that information, stored in computer files in distinct linguistic terms, with all the difficulties of conversion understood in the ekphratic process. The community has not yet considered what becoming dependent on digital texts means for the field, both in practical and theoretical terms. Issues of quality, copying, representation, and substance should be part of our dialogue when we consult digital surrogates of documentary material, yet we are just constructing understandings of what it means to rely on virtual representations of artefacts. It is necessary to relate our understandings of uncertainty in palaeography and epigraphy to our understanding of the mechanics of visualization employed by digital imaging techniques, if we are to fully understand the impact that these will have

    Digitization of Bulgarian folk songs with music, notes and text

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    A digitization project for Bulgarian folk songs Information technologies for presentation of Bulgarian folk songs with music, notes and text in a digital library has been started last year, joining the efforts of various experts from three institutes of the Bulgarian Academy of Sciences, Sofia University and New Bulgarian University. The research that is carried out under this project aims at the development of a technology and corresponding supporting software tools for the creation and usage of heterogeneous institutional digital libraries. The tools will satisfy the needs of the researchers for information technologies in the fields of ethnology, ethnomusicology and folkloristic. In the project frame a technological environment for digitization of notations is created, specially adapted for Bulgarian folk songs. Now a database with notes, lyrics and music is under development. An initial digitization and preservation of the Bulgarian cultural heritage will be carried out by means of digitization and insertion into the system of over 1000 songs that were recorded and written down during the 60s and 70s of XX century

    Managing Bias When Library Collections Become Data

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    Developments in AI research have dramatically changed what we can do with data and how we can learn from data. At the same time, implementations of AI amplify the prejudices in data often framed as ‘data bias’ and ‘algorithmic bias.’ Libraries, tasked with deciding what is worth keeping, are inherently discriminatory and yet remain trusted sources of information. As libraries begin to systematically approach their collections as data, will they be able to adopt and adapt the AI-driven tools to traditional practices?   Drawing on the work of the AI initiative within Stanford Libraries, the Fantastic Futures conference on AI for libraries, archives, and museums, and recent scholarship on data bias and algorithmic bias, this article encourages libraries to engage critically with AI and help shape applications of the technology to reflect the ethos of libraries for the benefit of libraries themselves and the patrons they serve. A brief examination of two core concepts in machine learning, generalization and unstructured data, provides points of comparison to library practices in order to uncover the theoretical assumptions driving the different domains. The comparison also offers a point of entry for libraries to adopt machine learning methods on their own terms

    Artificial Intelligence and the Preservation of Historic Documents

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    In recent decades, digitization has been presented as an important strategy both for the preservation of historic documents and for giving increased access for researchers to such materials. In the Norwegian context, this has not only implied the digitization of printed matter but also the digitization of audiovisual material like photography and analog tape recordings. From a technical perspective, there are of cause difficulties in digitizing such a variety of material when considering the diversity of media formats dating back to the nineteenth century. However, from the archival community criticism has been raised not only about the quality of the work but also the concerning the selection process, the organization of the material, and the collection of metadata. The National Library of Norway, especially, has attempted to avoid the problem of selection by attempting to digitize all of visual, sonic and audio-visual culture heritage. But this has created even greater challenges for the organization and registration of metadata. This is an issue that is apparent to the National Library, so it is looking into the possibility of using artificial intelligence – learning algorithms – to organize the material. The key issue is that the preservation of historic material is also dependent on the preservation of context and on metadata enabling us to interpret and understand the material at hand
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