Intelligence professionals need to determine quickly and accurately the “big picture” that connects disparate data points – i.e. link analysis. These connections can be found by matching the data points with a knowledge base of models encoding activities of interest. In this paper, we propose using a flexible semantic matcher to satisfy this matching requirement.

2014 We present the first experimental results of X-ray diffraction on monodomains of two Schiff bases complexed with copper : the (DOBBA)2 2014Cu : Bis-[N(phényl-4n-butyl)(4n-dodecyloxy)-2-salicylideneamino]-Copper(II) and the (HOBBA)2 2014Cu : Bis-[N-(phényl-4n-butyl)(4n-heptyloxy)-2-salicylideneamino]-Copper(II), both in the smectic A phase and in a solid-like lower temperature phase. The re...

Lexical knowledge plays a vital role for systems translating between natural language and structured data, and an important part of such lexical knowledge are adjectives. In this paper we introduce a low-cost method for automatically acquiring adjective lexicalizations of restriction classes from a knowledge base by inspecting the range of properties. The resulting lexicalizations can then, for...

Knowledge bases (KB) provide support for real-world decision making by exposing data in a structured format. However, constructing knowledge bases requires gathering data from many heterogeneous sources. Manual efforts for this task are accurate, but lack scalability, and automated approaches provide good coverage, but are not reliable enough for realworld decision makers to trust. These two ap...

Animal venoms have been used for therapeutic purposes since the dawn of recorded history. Only a small fraction, however, have been tested for pharmaceutical utility. Modern computational methods enable the systematic exploration of novel therapeutic uses for venom compounds. Unfortunately, there is currently no comprehensive resource describing the clinical effects of venoms to support this co...

We propose that the task of question generation should incorporate not only measures of grammaticality, but also a measure of the importance of a question automatically generated. Necessarily, importance of a given question can be judged only in context, so we propose that the data for a shared task be larger than a single sentence, data point or statement in a knowledge base. By focusing on th...