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Browsing University Library by Author "Hutchinson, Tim"
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Item Archival access points: subjects and beyond - the North American experience(1998-02-12) Hutchinson, TimItem Copyright and Cultural Institutions: Guidelines for Digitization for U.S. Libraries, Archives, and Museums (review)(Association of Canadian Archivists, 2011) Hutchinson, TimItem Encoded Archival Description on the Internet (review)(Association of Canadian Archivists, 2003) Hutchinson, TimItem Keeping SAIN: The Saskatchewan Archival Information Network and ICA-AtoM(2012-06-08) Hutchinson, TimSession description: Archives around the world have been seeing the potential of the open source ICA-AtoM software, including Canada's provincial archival councils. Many of our existing systems for archival description have been showing their age and are ripe for replacement. In this panel session, representatives from B.C., Saskatchewan, Manitoba, and Ontario will explain their approaches and experiences in moving over to ICA-AtoM. Additionally, the developers of the software will share their plans for future work. This next generation of archival software offers tremendous opportunities for making descriptions discoverable and building a sustainable infrastructure to support all archival institutions.Item Killing Many Birds with One Stone: Virtual Institutional Databases in AtoM(2016-06-04) Hutchinson, TimFrom session description: For many archivists, one of the greatest innovations to the profession in recent years has been the development of AtoM, or Access to Memory – an open-source archival description software application developed here in Canada by Artefactual Systems. AtoM has allowed archives all over the world to make their finding aids more readily accessible in a standardized format for very little expense on the part of the institution. AtoM has continued to grow and evolve over the years, thanks in large part to the contribution of code, documentation, translations, ideas, and funding from its user base. This working session will examine three recent innovative contributions to AtoM made by archivists in the hopes of furthering the development of AtoM and its user community. ... Tim Hutchinson will discuss the development of the “virtual institutional database” for the AtoM-powered Saskatchewan Archival Information Network.Item The miracle of full-text searching: myth or reality?(1999-06-03) Hutchinson, TimItem Natural Language Processing and Machine Learning as Practical Toolsets for Archival Processing(Emerald Publishing Limited, 2020-05-16) Hutchinson, TimPurpose – This study aims to provide an overview of recent efforts relating to natural language processing (NLP) and machine learning applied to archival processing, particularly appraisal and sensitivity reviews, and propose functional requirements and workflow considerations for transitioning from experimental to operational use of these tools. Design/methodology/approach – The paper has four main sections. 1) A short overview of the NLP and machine learning concepts referenced in the paper. 2) A review of the literature reporting on NLP and machine learning applied to archival processes. 3) An overview and commentary on key existing and developing tools that use NLP or machine learning techniques for archives. 4) This review and analysis will inform a discussion of functional requirements and workflow considerations for NLP and machine learning tools for archival processing. Findings – Applications for processing e-mail have received the most attention so far, although most initiatives have been experimental or project based. It now seems feasible to branch out to develop more generalized tools for born-digital, unstructured records. Effective NLP and machine learning tools for archival processing should be usable, interoperable, flexible, iterative and configurable. Originality/value – Most implementations of NLP for archives have been experimental or project based. The main exception that has moved into production is ePADD, which includes robust NLP features through its named entity recognition module. This paper takes a broader view, assessing the prospects and possible directions for integrating NLP tools and techniques into archival workflows.Item O Triple Store, What Art Thou? Early explorations at the University of Saskatchewan(2017-06-04) Hutchinson, TimFrom session description: In September 2016, the ICA released its first draft of the Records in Contexts Conceptual Model (RiC-CM), a first step toward replacing all four existing ICA standards with a unified model that will be expressed as linked data. At the same time, Canadian archival professionals are preparing to revise the national Rules for Archival Description (RAD), offering an opportunity for international harmonization and innovation. But are Canadian archives ready for this disruptive shift? What is linked data? How will it affect our standards? our descriptive practices? our tools and systems? our end users? And how do we get from here to there? This panel presentation will cover a variety of angles and perspectives on linked data and archives, with the hopes of stimulating an engaging follow-up discussion. ... Tim Hutchinson (University of Saskatchewan) will describe a Great War pilot project implementation and discuss LOD readiness from the institution’s perspective.Item Out of Sight But Not Out of Mind: Using Archivematica in the Cloud(2015-06-13) Hutchinson, Timfrom session description: This session will address perspectives on digital preservation in the Cloud: when and how it should be considered, current practices and options, and experiences already gained. Cloud-hosting promises more resource-sharing opportunities than traditional digital storage, making it appealing for small and medium-sized archives. ... Tim Hutchinson will discuss the University of Saskatchewan’s cloud-based implementation of Archivematica, a free and open-source digital preservation system.Item Protecting Privacy in the Archives: Preliminary Explorations of Topic Modeling for Born-Digital Collections(IEEE, 2017-12) Hutchinson, TimNatural language processing (NLP) is an area of increased interest for digital archivists, although most research to date has focused on digitized rather than born-digital collections. This study in progress explores whether NLP techniques can be used effectively to surface documents requiring restrictions due to their personal information content. This phase of the research focuses on using topic modeling to find records relating to human resources. Early results show some promise, but suggest that topic modeling on its own will not be sufficient; other techniques to be explored include sentiment analysis and named entity extraction.Item Reflections on the future of the archival community(2004-05-26) Hutchinson, TimItem Rules for Archival Description and Encoded Archival Description: Competing or Compatible Standards?(2001-08-30) Hutchinson, TimItem Strategies for Searching Online Finding Aids: A Retrieval Experiment(Association of Canadian Archivists, 1997) Hutchinson, TimThe archival community has recently been increasing its efforts to establish a presence on the World Wide Web; one aspect of this of particular interest is the move to make finding aids available online. For example, the emerging Encoded Archival Description (EAD) standard is one approach to this effort. This article is a report of a retrieval experiment, using finding aids available through the web sites at the San Diego and Berkeley campuses of the University of California, that was designed to test various methods of searching online archival descriptions. The precision and recall measures of four searching methods were compared: searching entire finding aids, searching introductory material to finding aids, searching introductory material to finding aids enhanced by controlled vocabulary terms, and searching collection-level catalogue records. As expected from similar studies in library and information science, recall increased and precision decreased as the length of the description increased. Significantly, however, the decrease in precision was sharper than the corresponding increase in recall, and the retrieval success of summary descriptions (introductory material and catalogue records) was higher than might have been expected. Implications of these findings, and suggestions for further research, are discussed.Item Using LibAnswers in the Archives: A review and implementation report(Practical Technology for Archives, 2017-01) Hutchinson, TimThe need for an enquiry management system at the University of Saskatchewan’s University Archives & Special Collections was identified at the time of an organization restructuring, which involved the amalgamation of previously independent archives and special collections units, and a new model for reference service. While there were delays in selecting and deploying a system, this allowed requirements to be refined; LibAnswers was ultimately selected. This article reviews key features of the enquiry management and reference statistics components of LibAnswers, in the context of its implementation for an archival reference service.