Information Extraction in Editorial Setting. A Tale of PDFs.

Lecture Notes in Computer Science(2019)

引用 0|浏览119
暂无评分
摘要
In the last decade the Semantic Web initiative has promoted the construction of knowledge resources that are understandable by both humans and machines. Nonetheless considerable scientific and technical content is still locked behind proprietary formats, especially PDF files. While many solutions have been proposed to shift the publishing mechanism to more accessible formats, we believe that is paramount, especially in business scenarios, to be able to tap into this type of content and be able to extract machine readable semantic information from it. In this demo we show how we can process and semantically annotate Medication Package Inserts, publicly available from the pharmaceutical companies in the form of PDF files. Our proposed solution is fully integrated with a standard PDF viewer and does not require the subject matter expert to use any external software.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要