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Exploring diverse knowledge organization systems and metadata schemes in linked data, aiming to promote vocabulary usability and high-quality linked data creation within the LIS field.

We used content analysis to select 77 articles from 13 library and information science journals around our research theme. We identified four dimensions: vocabularies participation, reuse, functions, and naming variations in linked data.

The vocabulary comprises seven main categories and their corresponding 126 vocabularies, which participate in linked data in single, two, and multiple dimensions. These vocabularies are used in the eight LIS subfields. Reusing vocabularies has become integral to linked data publishing, with six categories and their corresponding 66 vocabularies being reused. Ontologies are the most engaged and widely reused category of vocabulary in linked data practice. The mutual support among the three major categories and seven subfunctions of vocabulary promotes the sustainable development of linked data. Under a combination of factors, the phenomenon of terminology name changes and cross-usage between “vocabulary” and “ontology.”

This study has limitations. Although 77 articles on the topic of vocabularies applied in linked data were analyzed and presented with quantitative statistics and visualizations, the exploration of the topic tends to be a practical activity, with limited presence in scholarly articles. Moreover, this study’s analysis of the practical applications of linked data is relatively limited, and the sample literature focused on articles published in English, which may have affected the diversity and inclusiveness of the research sample.

Practically, this study does not confine the application of content analysis solely to the traditional exploration of knowledge organization topics, development trends, or course content. Instead, it integrates the dual perspectives of linked data and vocabularies, employing content analysis to analyze and objectively reveal the application issues of vocabularies in linked data. The conclusions can provide specific guidelines for future applications of vocabularies in the LIS subfields and contribute to promoting interoperability of vocabularies.

This research explores the relationship between linked data and vocabularies, highlighting the diverse manifestations and challenges of vocabularies in linked data. It provides theoretical references for the construction and further development of vocabularies considering technologies such as linked data, drawing attention to the potential and existing issues associated with linked open data vocabularies.

This study extends the application of content analysis to exploring vocabularies, especially Knowledge Organization Systems and metadata schemes in the LIS field linked data, highlighting the mutually beneficial interactions between linked data and vocabularies. It provides guidance for future vocabularies applications in the LIS field and offers insights into vocabularies construction and the healthy development of linked data ecosystems in the era of information technology.

This paper aims to provide a reference for the development of digital transformation from the perspective of manufacturing process links.

This paper applies canonical correlation analysis based on digital technology patents in the key links of manufacturing industries (product design, procurement, product manufacturing, warehousing and transportation, and wholesale and retail) and the related indicators of economic benefits of regions in China.

(1) The degree of digitalization of manufacturing process links is significantly correlated with economic benefits. (2) The improvement of the degree of digitalization in the “product design” link, the “warehousing and transportation” link, the “product manufacturing” link and the “wholesale and retail” link has significant impacts on the economic benefits of manufacturing industry. (3) The digital degree of the “procurement” link has no obvious influence on the economic benefits of manufacturing industry.

The research results can provide reference for the formulation and implementation of micro policies. The strategy of improving the level of digital transformation of key links of manufacturing industry is put forward to better promote both the digital transformation of manufacturing industry and economic development.

This paper innovatively studies the relationship between digitalization of manufacturing process links and economic benefits. The findings can provide theoretical and empirical support for the digital transformation of China's manufacturing industry and high-quality development of economy.

This paper's purpose is to describe an investigation of whether the addition of an interlibrary loan link as an option in the OpenURL link resolver menu has an effect on interlibrary loan requests for articles.

Four years of link resolver clickthrough data were analyzed in conjunction with ten years of interlibrary loan article request data.

The data showed that requests to ILL increased at first, then fell, and then rose again. There is a correlation between link resolver clickthroughs and ILL requests.

This paper employed data gathered over a longer time period than previous research on this topic and thus provides a broader exploration of the effect of providing links to ILL through a link resolver. While most OpenURL clickthrough data employed in research are gathered from the SFX OpenURL resolver, here the authors used WebBridge.

This paper offers an example of how non‐SFX institutions can employ clickthrough data to explore issues such as user behavior with regard to ILL.

This paper presents a high‐level overview of linking, with a consideration of what can and can not be accomplished with present‐day technology and products. The intended purpose is to help readers make informed decisions about what a full text and linking product mix can bring to your institution.

Linking in the scholarly environment has built on the basic linking capabilities of the World Wide Web and evolved to make the research process faster and more efficient. There are many components in the current linking environment and they often overlap and frequently inter‐operate. Despite the advances, linking is still in its infancy and future evolution will be rapid, especially as the underlying technologies evolve. This paper describes the current scholarly linking environment, its evolution, its components, and what we have to look forward to in the future.

The purpose of this article is to examine the reasons for the creation of co‐links between pairs of business web sites. Specifically, to determine whether co‐linked business web sites are really related.

Co‐links to 32 telecommunications companies were retrieved using Yahoo! and a random sample of 495 co‐linking pages (the page that initiated the co‐link) were selected for a content analysis. The context of the co‐link and the content of the co‐linking page were manually examined to record the following data: type of web site and the reason for the creation of the co‐link.

The study found that 61.4 per cent of co‐links were created to connected pairs of highly related businesses (related companies, related products, and related services). Only 14.7 per cent of co‐links were created for non‐business reasons. The remaining 23.8 per cent of co‐linked sites showed a loose or marginal business relationship. The study also found that co‐links targeting home pages (as opposed to non‐homepages) were more likely to connect related businesses. Furthermore, co‐links coming from commercial sites (as opposed to other sites such as educational sites) are more likely to link related businesses.

The findings from this content analysis study confirm results from previous quantitative studies that showed that web co‐links measure relatedness of co‐linked sites and that co‐links can be objects of web data mining. The study contributes to our understanding of link motivations and the web linking phenomenon in general. The difference between links to homepages and that to non‐homepages found in the study can guide us in co‐link data collection.

Link analysis is an established topic within webometrics. It normally uses counts of links between sets of web sites or to sets of web sites. These link counts are derived from web crawlers or commercial search engines with the latter being the only alternative for some investigations. This paper compares link counts with URL citation counts in order to assess whether the latter could be a replacement for the former if the major search engines withdraw their advanced hyperlink search facilities.

URL citation counts are compared with link counts for a variety of data sets used in previous webometric studies.

The results show a high degree of correlation between the two but with URL citations being much less numerous, at least outside academia and business.

The results cover a small selection of 15 case studies and so the findings are only indicative. Significant differences between results indicate that the difference between link counts and URL citation counts will vary between webometric studies.

Should link searches be withdrawn, then link analyses of less well linked non‐academic, non‐commercial sites would be seriously weakened, although citations based on e‐mail addresses could help to make citations more numerous than links for some business and academic contexts.

This is the first systematic study of the difference between link counts and URL citation counts in a variety of contexts and it shows that there are significant differences between the two.