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- W2012191330 abstract "From a huge volume of text of emails and SNS, it is required to extract human relations to determine whether or not there exist illegal connections each other. A graph structure becomes very useful for giving better representation of human relations compared with the original plain text. In this paper, we propose a way of constructing graph from a number of texts. To make the graph more concise and compact, it is also required to remove duplication and outliers in the graph. The key point of merging a graph structure is to perform automatic and semi-automatic merging method based on our novel merge-feasibility measurement. To justify our new methods of extracting and merging the graph structure, we describe the implementation and testing of our proposed system." @default.
- W2012191330 created "2016-06-24" @default.
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- W2012191330 date "2013-12-01" @default.
- W2012191330 modified "2023-09-22" @default.
- W2012191330 title "Making a Graph Database from Unstructured Text" @default.
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- W2012191330 doi "https://doi.org/10.1109/cse.2013.144" @default.
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