Publishing Persian linked data of National library and Archive of Iran

Nowadays institutions try to publish, share and interlink their data by using semantic web technologies specially Linked Data. This technology has considerable potential for libraries and cultural institutions and helps them to complement their data by linking it to other external data sources. Library linked data derived from bibliographic records which based on international standards will be of high. Thus, National Library and Archive of IRAN(NLAI) is planning to transform its data to RDF following the Linked Data principles proposed by Tim Berners Lee. This paper is the first experiment in the realm of publishing linked data at NLAI. Using IFLA FR models, it has been stating to define a model to generate linked data version of authority files of NLAI which is based on IRANMARC. It discusses the challenges we met during the experience particularly Persian language problems. We outline how this process can be facilitated.