Distribution and Application of Cross-domain Statistical Data with Resource Description Framework

Abstract

With the promotion of the government open data policy information from various domains is now available via the open data platforms on the Internet for users to develop any applications to fit their needs This has become the major trend of data circulation nowadays However the currently circulated open data is only focusing on the “open” aspect and does not fully consider the requirements of the “semantics” aspect of the data The lack of correct understading about acquired data becomes a major obstacle for the successful sharing and usage of geospatial resources Tim Berners-Lee argues the addition of semantic consideration can successfully remove the barriers of data interpretation form a “Linked Data” structure with semantic meanings and create the sharing environment on the basis of Linked Open Data (LOD) As the governemt’s geospatial open data in Taiwan is mostly in 3-star rating following the the 5-star deployment scheme how to improve its rating and facilitate a more effective sharing environment by adding semantic considerations should receive more attentions In view of the lack of semantic description and the improvement of cross-domain integration for current sharing mechanism this study proposes a standardized framework for geospatial statistical data by using Resource Description Framework (RDF) from the World Wide Web Consortium (W3C) With the concept of “linked data” as its core the framework design mainly considers the geospatial temporal and theme modelling requirments and intends to serve as the common basis for the schema design of both the nation-wide stiatistical unit reference systems and domain geostatistical data thereby establishing a consistent cross-domain statistical information linked architecture in the Internet environment Existing “vocabularies” standards are introduced to provide better semantic interporability among geospatial data from different domains and SPARQL is used to demonstrate the proposed solution can successfully address various issues regariding the process of geostatistical data from single or even multiple domains After the open geostatisitical data is designed with enhanced semantic information the linked data technology can facilitate the transparent exchange of geospatial statistical information and enable the possibilities of cross-domain applicaitons in the future

Date of Award	2019
Original language	English
Supervisor	Jung-Hong Hong (Supervisor)