Volume 57, no. 5 2019


 

Original Articles


Library Linked Data Models: Library Data in the Semantic Web

Hyoungjoo Park & Margaret Kipp

ABSTRACT: This exploratory study examined Linked Data (LD) schemas/ontologies and data models proposed or in use by libraries around the world using MAchine Readable Cataloging (MARC) as a basis for comparison of the scope and extensibility of these potential new standards. The researchers selected 14 libraries from national libraries, academic libraries, government libraries, public libraries, multi-national libraries, and cultural heritage centers currently developing Library Linked Data (LLD) schemas. The choices of models, schemas, and elements used in each library's LD can create interoperability issues for LD services because of substantial differences between schemas and data models evolving via local decisions. The researchers observed that a wide variety of vocabularies and ontologies were used for LLD including common web schemas such as Dublin Core (DC)/DCTerms, Schema.org and Resource Description Framework (RDF), as well as deprecated schemas such as MarcOnt and rdagroup1elements. A sharp divide existed as well between LLD schemas using variations of the Functional Requirements for Bibliographic Records (FRBR) data model and those with different data models or even with no listed data model. Libraries worldwide are not using the same elements or even the same ontologies, schemas and data models to describe the same materials using the same general concepts.

KEYWORDS: Library linked data, Semantic Web, linked data, data model, metadata, cataloging


Mapping Derivative Relationships from RDA to BIBFRAME 2

Sofia Zapounidou, Michalis Sfakakis & Christos Papatheodorou

ABSTRACT: Semantic interoperability between Resource Description and Access (RDA) and BIBFRAME models is of great interest to the library community. In this context, this work investigates the mapping of core entities, inherent and derivative relationships from RDA to BIBFRAME, and proposes mapping rules assessed using two gold datasets. Findings indicate that RDA core entities and inherent relationships can be successfully mapped to BIBFRAME using the bf:hasExpression property, while extending bf:hasExpression as transitive simplifies BIBFRAME representations. Moreover, mapping derivative relationships between RDA Expressions was successful with loss of specificity in non-translation cases. The mapping of derivative relationships between RDA Works produced "noisy" bf:hasDerivative occurrences in BIBFRAME.

KEYWORDS: BIBFRAME, conceptual models, derivative bibliographic relationships, explore, interoperability, mappings, RDA


An Historical Look at the Studies on the Subject Authority File in Turkey

Vedat Gültekin

ABSTRACT: Libraries are bridges between information and the library user in the context of information retrieval. Library users want to access information resources according to their topic. Therefore, it is important to create subject entries in bibliographic records. If subject added entries and their redirects are done correctly, it will make it easier for users to access the information they are looking for. In this article the collaborative studies and projects made in Turkey are being discussed.

KEYWORDS: Cataloging, authority control, subject cataloging, subject access, controlled vocabularies


Text Mining and Subject Analysis for Fiction; or, Using Machine Learning and Information Extraction to Assign Subject Headings to Dime Novels

Matthew Short

ABSTRACT: This article describes multiple experiments in text mining at Northern Illinois University that were undertaken to improve the efficiency and accuracy of cataloging. It focuses narrowly on subject analysis of dime novels, a format of inexpensive fiction that was popular in the United States between 1860 and 1915. NIU holds more than 55,000 dime novels in its collections, which it is in the process of comprehensively digitizing. Classification, keyword extraction, named-entity recognition, clustering, and topic modeling are discussed as means of assigning subject headings to improve their discoverability by researchers and to increase the productivity of digitization workflows.

KEYWORDS: Subject analysis, text mining, cataloging digital resources, cataloguing popular fiction, dime novels


A Cataloger's Perspective on Cataloging Backlogs

Debra Spidal

ABSTRACT: Backlogs in cataloging are an unpleasant fact for many library technical service departments. While backlogs may be strategic in nature and smooth out the workflow from acquisitions to cataloging, many are simply uncataloged gifts, unfinished retrospective conversion projects, or low-priority uncataloged collections—all waiting to be addressed when everything else is caught up. Catalogers are often stereotyped as perfectionists; in reality, the nature of our work requires us to be very pragmatic. By substituting a less than full record, progress on reducing backlogs is possible.

KEYWORDS: Arrearages, backlogs, cataloging, libraries, pragmatism, technical services


 

 


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