Semantic Technologies for Scientific Literature Management (v2)

研究人员生活中典型的一天包括查找、阅读和分析与她手头任务相关的科学文献。在线数字图书馆、学术出版数据库和开放获取存储库授予对大量信息的访问权限，这给试图获取所需信息的研究人员带来了重大挑战：大多数现代搜索引擎在几秒钟内返回数千篇文章，研究人员不得不手动梳理结果，以找到可能有助于他们研究活动的信息——这是一项耗时费力的任务，在此期间，关键知识很容易被遗漏。人类处理信息的能力与前所未有的科学出版增长速度之间的明显不平衡，鼓励了各个领域的研究人员寻找新的方法，从不断增长的知识库中大量可用文献中提取、组织和管理知识。这些探索的前沿是来自繁荣领域的研究人员

A typical day in the life of a researcher involves finding, reading and analyzing scientific literature that are related to her task at hand. Online digital libraries, academic publishing databases and open access repositories grant access to a plethora of information, which poses major challenges to researchers when trying to obtain the information they need: Most modern search engines return thousands of articles in a matter of seconds and researchers have to manually comb through the results to find the information that may aid them in their research activities – a time-consuming and laborious task, during which critical knowledge can be easily missed. This apparent disproportion of humans' capabilities in processing information versus the unprecedented rate of scientific publishing growth has encouraged researchers from various domains to look for new approaches to extract, organize, and manage knowledge from the immense amount of available literature in ever-growing repositories. The frontiers of these explorations are researchers from the thriving domain of