Moving towards a Topic-Based DDC
DOI:
https://doi.org/10.7152/acro.v25i1.14905Abstract
Although oft regarded as a class-based system, many potential uses of the Dewey Decimal Classification (DDC) system are better supported by a topic-based view. This paper explores automated strategies for identifying equivalence and hierarchical relationships between Relative Index headings, one of the steps required to fully implement a topic-based data model for the DDC. Data used in detecting relationships beyond the small number of relationships already explicitly coded include qualifiers in headings, variant name notes, hyphenated words, acronyms, the structure of Relative Index headings, adjectival modification, equivalence and hierarchical relationships between Library of Congress Subject Headings, and synonymy and hypernymy relationships in WordNet.
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).