The Study of Semantic Analysis on Intelligence Research under the Environment of Big Data

Hong Gu,Hongwei Yuan

doi:10.5539/mas.v11n4p1

Abstract

Faced with complex, large mass of data, how to find the information we need from these data, then to do intelligence research, it is an issue of concern in the intelligence community. This paper analyzes the significance of research and three technologies to ensure the rigor of intelligence research: visualization, data mining and semantic analysis technology, focuses on the semantic analysis technology in the application of intelligence research, exemplified by the semantic role annotation and semantic-based text orientation analysis of two methods, described the meaning of these two methods, the semantic database, the basic flow of information, their strengths and weaknesses, as well asdevelopment and raised its outlook in information research.

Highlights

With the development of cloud computing, networking, online social media and other emerging technologies, more and more data appear in our life with the explosive growth
Researches on Information Science on the era of Big Data have had a lot of changes
The substance of semantic role labeling is to have shallow semantic analysis to the sentence level, divide words into groups in a sequence according to the current knowledge of grammar and classify them in accordance with the semantic roles, which does not make the whole sentence a detailed semantic analysis, but only mark semantic roles of given predicates in order to have a “shallow” understanding of computer words (Yang & Zhang, 2010)

Summary

Introduction

With the development of cloud computing, networking, online social media and other emerging technologies, more and more data appear in our life with the explosive growth. All these massive data mark the arrival of the era of Big Data. In the era of Big Data, various digital information appears broadly. Researches on Information Science on the era of Big Data have had a lot of changes. The research object, research environment, research methods and tools in traditional Informatics present a qualitative leap under the environment of big data and generate many new areas. The intelligence workers must find new ways to meet research needs under the environment of big data

The Concept of Big Data

The Development of Intelligence Research in Big Data Environment

Semantic Role Labeling

Semantic-Based Textual Tendency Analysis

Conclusion