Review articles summarize state-of-the-art work and provide a means to organize the growing number of scholarly publications. However, current review method publication mechanisms hinder impact can potentially have. Among other limitations, reviews only snapshot literature are generally not readable by machines. In this work, we identify weaknesses method. Afterwards, present SmartReview approa...

Everyday, popular Web sites attract millions of visitors. These visitors leave behind vast amount of Web site traversal information in the form of Web server and query logs. By analyzing these logs, it is possible to discover various kinds of knowledge, which can be applied to improve the performance of Web services. A particularly useful kind of knowledge is knowledge that can be immediately a...

Student login data is a key resource for gaining insight into their learning experience. However, the scale and the complexity of this data necessitate a thorough exploration to identify potential actionable insights, thus rendering it less valuable compared to student achievement data. To compensate for the underestimation of login data importance, in this paper we performed an exploratory dat...

The Food and Drug Administration (FDA or we) is issuing this final rule to require domestic and foreign food facilities that are required to register under the Federal Food, Drug, and Cosmetic Act (the FD&C Act) to address hazards that may be introduced with the intention to cause wide scale public health harm. These food facilities are required to conduct a vulnerability assessment to identify...

This paper describes our approach for Actionable Knowledge Graph (AKG) task at NTCIR-13. Our ranking system scores each candidate property by combining semantic relevance to action and its document relevance in related entity text descriptions via a Dirichlet smoothing based language model. We employ supervised learning technique to improve performance by minimizing a simple position-sensitive ...

In this paper, we present a methodology, called Semantic Graph Mining, for computer-aided extraction of actionable rules from consolidated semantic graphs of statements. First, generate semantic annotations of a set of heterogeneous knowledge/information resources in terms of domain ontology. Second, merge a semantic graph by means of semantic integration of the annotated resources. Third, disc...