英文摘要 |
Semantic Web standards and technologies play the essential role of constructing conceptual architecture when enhancing the Web from document-based link to web of data. On the existing heterogeneous layer, we use procedures such as mapping, converting, and wrapping to build up the middle semantic data layer with common vocabulary and data models as the basis to provide higher-level services on the top layer. In this paper, we employ the successful method and steps, take the National Archives Administration website as the research goal and implement the above concepts to establish a system architecture. The resources on the web site are divided into structured data and textual data. Following the steps of data preparation, storing, and publishing, we investigate how to bring the standard technologies and leverage open-source tools to develop system components. For the part of structured data, we explore how to generate RDF data from relational databases for the publication of Linked Data without affecting the operation of the existing database system. For the part of textual data, we rely on the application of information extraction in natural language processing to convert textual data to Linked Data. Knowledge Graph originated from Semantic Web/Linked Data technologies provides applications other than Linked Data publication. In this paper, we also discuss the use of knowledge engineering methodology to design knowledge systems and develop intelligent services. |