教師資料查詢 | 類別: 會議論文 | 教師: 戴敏育 Min-Yuh Day (瀏覽個人網頁)

標題:Developing Four Stars Election Open Data in RDF: Evidence from Taiwan Election Open Data Project
學年105
學期1
發表日期2016/08/15
作品名稱Developing Four Stars Election Open Data in RDF: Evidence from Taiwan Election Open Data Project
作品名稱(其他語言)
著者Ching-Yuan Chien; Chia-Hsin Hung; Min-Yuh Day; Yuh-Tay Lin; Chu-Yin Yang
作品所屬單位
出版者
會議名稱The 3rd Multidisciplinary International Social Networks Conference on SocialInformatics 2016, Data Science 2016 (MISNC, SI, DS 2016)
會議地點New Jersey, USA
摘要Opening up data has become a global trend, especially when democratic governments want to show openness and transparency. In this paper, we describe how we implement a 4-star election open data in RDF in Taiwan. For the past fifty years, most of the data was recorded on paper and was stored in the Central Election Commission of Taiwan. First, we convert paper documents to PDF to digitize the data from the handwritten paper. We convert PDF files into CSV files by doing OCR and manual inputting. In addition, we classified and integrated all columns by their property and revised the column name in English. Since we were going to establish ontology to describe resources, properties, statements, and the relationship between entities, we structured E-R (entity-relationship) diagrams and transformed the E-R diagrams to ontology by using the Protégé OWL tool afterwards. Finally, we opened up Taiwan election data in RDF with ontology and CSV files using Python automation.
關鍵字Open Data;RDF;OWL;Ontology;Taiwan Election
語言英文(美國)
收錄於
會議性質國際
校內研討會地點
研討會時間20160815~20160817
通訊作者Ching-Yuan Chien
國別美國
公開徵稿
出版型式
出處Proceedings of the The 3rd Multidisciplinary International Social Networks Conference on SocialInformatics 2016, Data Science 2016 (MISNC, SI, DS 2016)
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