DocumentCode :
1791658
Title :
Researching persons & organizations: AWAKE: From text to an entity-centric knowledge base
Author :
Boschee, Elizabeth ; Freedman, Marjorie ; Khanwalkar, Saurabh ; Kumar, Ajit ; Srivastava, Anurag ; Weischedel, Ralph
Author_Institution :
Raytheon BBN Technol. Corp., Cambridge, MA, USA
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
1030
Lastpage :
1039
Abstract :
We describe a pilot experiment building a capability to automatically read documents, develop a knowledge base, support analytics, and visualize the information found. The capability allows someone researching a topic of interest of focus on analysis and synthesis rather than on reading. We show how information from multiple modalities (speech, text, structured databases) and multiple approaches (ontology driven and open information extraction) can be fused to create a resource about both previously known and novel entities. We describe an extensible framework for language understanding tools that allows for scalability, plug-and-play of alternative components, and incorporation of additional input streams, including video, images, and foreign language text.
Keywords :
data mining; document handling; AWAKE; documents; entity-centric knowledge base; foreign language text; information extraction; information visualisation; language understanding tools; multiple modalities; plug-and-play; scalability; Algorithm design and analysis; Computer architecture; Databases; Knowledge based systems; Ontologies; Organizations; Pipelines; automatic knowledge base construction. information extraction; entity disambiguation; entity discovery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Big Data (Big Data), 2014 IEEE International Conference on
Conference_Location :
Washington, DC
Type :
conf
DOI :
10.1109/BigData.2014.7004337
Filename :
7004337
Link To Document :
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