Fast Plagiarism Detection in Large-Scale Data

被引：0
|
作者：
Szmit, Radoslaw [1 ]
机构：
[1] Warsaw Univ Technol, Inst Control & Ind Elect, Ul Koszykowa 75, PL-00662 Warsaw, Poland
来源：
BEYOND DATABASES, ARCHITECTURES AND STRUCTURES: TOWARDS EFFICIENT SOLUTIONS FOR DATA ANALYSIS AND KNOWLEDGE REPRESENTATION | 2017年 / 716卷
关键词：
Plagiarism detection; Sentence hashing; Cloud computing; Semantic comparison; Big Data; NEKST; OSA; PERFECT HASH FUNCTIONS; ALGORITHM;
D O I：
10.1007/978-3-319-58274-0_27
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents some research results involved in building Polish semantic Internet search engine called the Natively Enhanced Knowledge Sharing Technologies (NEKST) and its plagiarism detection module. The main goal is to describe tools and algorithms of the engine and its usage within the Open System for Antiplagiarism (OSA).
引用
收藏
页码：329 / 343
页数：15
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