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Closing the loop: Assisting archival appraisal and information retrieval in one sweep
Author(s) -
Kim Yunhyong,
Ross Seamus
Publication year - 2013
Publication title -
proceedings of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8390
pISSN - 0044-7870
DOI - 10.1002/meet.14505001042
Subject(s) - relevance (law) , computer science , judgement , selection (genetic algorithm) , information retrieval , closing (real estate) , process (computing) , sketch , data science , artificial intelligence , epistemology , political science , algorithm , law , operating system , philosophy
In this article, we examine the similarities between the concept of appraisal , a process that takes place within the archives, and the concept of relevance judgement , a process fundamental to information retrieval systems. More specifically, we revisit appraisal/selection criteria proposed as a result of archival and digital curation communities, and, compare them to relevance criteria as discussed within information retrieval's literature based discovery. We illustrate how closely these criteria relate to each other and discuss how understanding the relationships between the these disciplines could form a basis for proposing automated appraisal and selection for archival processes and enabling complex queries within information retrieval.

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