A linked data approach to planning collaboration amongst local governments in Thailand

This research focuses on developing a new framework for the Sub-district Administrative Organization (SAO) of local government in Thailand. The goal is to publish linked data amongst local governments which allows discovering, accessing and encouraging interoperability. In order to achieve efficient interoperability of information systems, linked data play an important role in relating data. Linked data use semantic web technologies to publish structured data on the web and set links between data. Structure data are encoded as RDF. Furthermore, the data model supports integration of data sources by a linking semantic vocabulary, which is an effective way of exchanging data on the web. We propose a new framework for Thai local government with linked data technology to relate data that was not previously linked to enable exposing, sharing, and connecting pieces of data, information, and knowledge on the semantic web using URLs, RDF, data model and ontology.