VALA2014 Session 7 Barwick

Hunters and collectors: seeking social media content for cultural heritage collections

VALA2014 CONCURRENT SESSION 7: Think Social
Wednesday 5 February 2014, 13:45 – 14:15
Persistent URL: http://www.vala.org.au/vala2014-proceedings/vala2014-session-7-barwick

Kathryn Barwick and Mylee Joseph

State Library of New South Wales

Cecile Paris and Stephen Wan

Commonwealth Scientific and Industrial Research Organisation, Australia

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VALA Peer Reviewed

Abstract

A novel approach to collecting digital content for heritage collections is being explored and assessed in a trial of Vizie, an innovative social media tool researched and developed by the Commonwealth Scientific and Industrial Research Organisation. Collecting digital content for heritage collections is a priority for research libraries and other cultural institutions. This paper reports on the progress and learnings to date of the ongoing collaboration between the CSIRO and the State Library of New South Wales. The aim of the collaboration is to gather and curate online content centred around significant events and every day life in Australia and New South Wales.

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VALA2014 Session 2 Balnaves

Complex harvesting for content from public sources and email

VALA2014 CONCURRENT SESSION 2: It’s All About the Data
Tuesday 4 February 2014, 12:00 – 12:30
Persistent URL: http://www.vala.org.au/vala2014-proceedings/vala2014-session-2-balnaves

Edmund Balnaves

Prosentient Systems, NSW

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VALA Peer Reviewed

Abstract

This paper presents the results of a project for complex harvesting system from web and email sources integrated with open source platforms to improve discovery of information about or relevant to the organisation from public internet sources. The paper discusses methods of harvesting, drawing on a mix of RSS, Google API search and simple web parsing. The paper presents the results of automated metadata allocation and subsequent manual curation. The project highlights the need to use multiple web scanning techniques, so as to be sufficiently exhaustive to catch relevant references, but also sufficiently specific to avoid unduly large false positive candidates for selection.

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