Publication

Computational Archives for Experimental Museology

Sarah Irene Brutton Kenderdine, Lillian Hibberd
2021
Conference Papers

Abstract

This article addresses the potential for computational practises within archival and museological domains by charting a positional shift occurring in digital archives; from working with an object orientation and containment – to computing with a dimension orientation, segmentation, analytics and visualization. Computational museology allows us to conceive new trajectories that link all forms of cultural materiality: objects, knowledge systems, representation and participation. Following key definitions, the authors: outline state of the art in archival access and museological engagement through a series of examples; examine advances in the computational analysis of archives exploring forward-looking trends for massive digital cultural archives; and introduce an upcoming project, Narratives from the long tail: transforming access to audiovisual archives.

Official source

https://infoscience.epfl.ch/entities/publication/1927bb30-70bd-4b90-ae13-7e803bdc830f

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Sarah Irene Brutton Kenderdine, Lillian Hibberd
2021
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/1927bb30-70bd-4b90-ae13-7e803bdc830f

About this result

Related concepts (15)

Archive

An archive is an accumulation of historical records or materials – in any medium – or the physical facility in which they are located. Archives contain primary source documents that have accumulated over the course of an individual or organization's lifetime, and are kept to show the function of that person or organization. Professional archivists and historians generally understand archives to be records that have been naturally and necessarily generated as a product of regular legal, commercial, administrative, or social activities.

Knowledge-based systems

A knowledge-based system (KBS) is a computer program that reasons and uses a knowledge base to solve complex problems. The term is broad and refers to many different kinds of systems. The one common theme that unites all knowledge based systems is an attempt to represent knowledge explicitly and a reasoning system that allows it to derive new knowledge. Thus, a knowledge-based system has two distinguishing features: a knowledge base and an inference engine.

Knowledge management

Knowledge management (KM) is the collection of methods relating to creating, sharing, using and managing the knowledge and information of an organization. It refers to a multidisciplinary approach to achieve organizational objectives by making the best use of knowledge. An established discipline since 1991, KM includes courses taught in the fields of business administration, information systems, management, library, and information science. Other fields may contribute to KM research, including information and media, computer science, public health and public policy.

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