“…It is easy to convert existing data sets into LD (Deliot, 2014), though Cole et al (2013) said there are limitations while using machine readable cataloguing (MARC) in comparison. Ryan et al (2015) stated that the conversion of bibliographic data in LD enhances the searching and discovery capabilities; to make the existing authentic data sets accessible through LD technology (Deliot, 2014); to make metadata available on the Web for others via LD technology (Haslhofer and Isaac, 2011; Nagai et al , 2015); LD provides opportunity to access broader audiences (Deliot, 2014); LD has the ability to show the vocabularies in a hierarchical nature and to create relationships between entities (Ryan et al , 2015); linking data to other data sets provides additional context for the interpretation of data (Debruyne et al , 2016); LD projects provide facility to others to convert their metadata into LD (Haslhofer and Isaac, 2011); other libraries and organisations can use metadata from those of a specific library (Illien, 2012); beneficial for other library applications; resources can cross link with other library resources and organisations with the help of LD (Illien, 2012); LD is useful for the organisation of itself and its community by linking data to Dbpedia or the Getty union list (Szekely et al , 2013); linked open data (LOD) metadata is also helpful for private companies for creating new products on the basis of existing metadata (Illien, 2012); to make a new model from existing data sets (Haslhofer and Isaac, 2011); to devise a tool for mapping structured data into resource description framework (RDF) instead of mapping only specific data to LOD (Szekely et al , 2013); LD principles and RDF provide easy opportunity for data modelling (Debruyne et al , 2016); collaborative effort of digital archivist and computer engineers provide a platform for collaboration in the form of an LD project (Debruyne et al , 2016); proposed technology regarding LD can be used for other archives and digital libraries for migration purposes (Rademaker et al , 2015); less dependency on the IT team after completion of a LD project (Rademaker et al , 2015); successful completion of a project with a small staff and short time motivates for further initiatives in the future (Hanson, 2014); and a LD project provides many research opportunities for automatic analysis in the LD domain (Rademaker et al , 2015).…”