A Framework for Transforming the Persian Subject Headings into Linked Data

IntroductionThe emergence of the web facilitated the retrieval of information. This made libraries as one of the most important centers of information considering the web for the information retrieval process. However, the fast change of the web leads to the transformation of library functions. The semantic web is an opportunity for libraries to change their functions. Linked data as a method in the semantic web can make a major change in library functions. It can improve the discoverability, visibility, and interoperability of the resources. For example, all libraries use authority controls for organizing their information. But using authority controls in a traditional way can be challenging. Therefore, using the web can help libraries tackle these potential challenges and problems. Transforming authority data into linked data which seems an innovative and faster way for finding the resources can be a step forward for libraries and users. This paper aims to design a framework for transforming the National Library of Iran Subject Headings into linked data and publish them on the web. Literature ReviewDesigning and proposing a framework for linking the data was the topic of some research papers. Linking the university data (Behkamal et al., 2011) linking and visualizing medicine information (Sekhavati, Farahi, & Jalali, 2011) web objects (Hosseini, 2020), table data (Mulwad et al., 2010), Industrial Data (Graube et al.,2012), and government data (Villazón-Terraza, Vilches-Blázquez, Corcho, & Gómez-Pérez, 2011; Mulwad, Finin, & Joshi, 2011) were the topics for some reviewed studies. The results of their studies indicated that in general, linked data could improve information retrieval. Implementing a linked data method in library data was discussed in some papers. Kar & Das (2020) designed a methodology for linking bibliographic information in a digital repository. Similarly, Ryan et al. (2015) examined the linking of place names in a dataset, transferring them into RDF and linking them with other similar datasets. Summers, et al (2008) provide a methodology for transferring subject headings into linked data. their results showed that transferring LCSH into SKOS affects information retrieval. The linking and publishing National Library of Iran data were also investigated by Eslami & Vaghefzadeh (2013). Fathian Dastgerdi et al (2020) tried to make a pattern for linking data in library systems. They examined the components which are needed for implementing the