Classification on the Web: an analysis of Dewey Linked Data

Autor: Simionato Arakaki, Ana Carolina, Tomoyose, Kazumi
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Simionato Arakaki, Ana Carolina and Tomoyose, Kazumi Classification on the Web: an analysis of Dewey Linked Data. Palabra Clave (La Plata), 2020, vol. 9, n. 2, e092. [Journal article (Unpaginated)]
doi:10.24215/18539912e092
Druh dokumentu: Journal article (Unpaginated)
ISSN: 20200730
18539912
Popis: With the availability of information in the World Wide Web its access and retrieval by the users is facilitated, and the Libraryand Information Science (LIS) field’s knowledge and techniques can be applied to this environment in order to help with theprocess. e present study is descriptive, qualitative and exploratory, based on bibliographical sources, in which it was exploredhow the Classification discipline interacts with Linked Data, focusing on the analysis of Dewey Linked Data. From four catalogsanalyzed, referred to in the literature as adhering to Dewey Linked Data, only two actually has links in their records redirectingto the system. Despite this, its presence in e Linked Open Data Cloud appears as a positive factor in its dissemination, since itboosts its visibility. It is concluded that the Classification discipline allows the thematic standardization of information resources,so that there is uniformity in the Web environment and quality retrieval of information, while promoting interoperability betweendata in the Linked Data context. e standardization of metadata values using classifications optimizes the representation ofinformation and its retrieval in the Web, while also providing the reuse of data. In addition, studies that align the area of Library andInformation Science with the Semantic Web and its technologies can provide new perspectives for the area, as well as contemplatethe users’ always changing needs, thus, fulfilling the objective of the field.
Databáze: E-LIS (Eprints in Library & Information Science)