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