Automatic link-detection in Encoded Archival Descriptions

Junte Zhang · Khairun Nisa Fachry · Jaap Kamps

2 citations0/0 files storedUvA-DARE (University of Amsterdam)

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Digital and Traditional Archives Management Library Science and Information Systems Data Quality and Management

Abstract

In this paper we investigate how currently emerging link detection methods can help enrich encoded archival descriptions. We discuss link detection methods in general, and evaluate the identification of names both within, and across, archival descriptions. Our initial experiments suggest that we can automatically detect occurrences of person names with high accuracy, both within (F-score of 0.9620) and across (F-score of 1) archival descriptions. This allows us to create (pseudo) encoded archival context descriptions that provide novel means of navigation, improving access to the vast amounts of archival data.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Imported from OpenAlex (CC0) — nothing here is generated.