数据库安全 数据库安全 数据库安全 数据库安全-We present a novel method for key term extraction from text

documents. In our method, document is modeled as a graph

of semantic relationships between terms of that document.

We exploit the following remarkable feature of the graph:

the terms related to the main topics of the document tend to

bunch up into densely interconnected subgraphs or communities,

while non-important terms fall into weakly interconnected

communities, or even become isolated vertices. We

apply graph community detection techniques to partition

the graph into thematically cohesive groups of terms. We

introduce a criterion function to select groups that contain

key terms discarding groups with unimportant terms. To

weight terms and determine semantic relatedness between

them we exploit information extracted from Wikipedia.