Finding Similar Patents Through Semantic Query Expansion

被引：7
|
作者：
Sharma, Pawan [1 ]
Tripathi, Rashmi [2 ]
Tripathi, R. C. [3 ]
机构：
[1] Indian Inst Informat Technol, Allahabad 211002, Uttar Pradesh, India
[2] Indian Inst Informat Technol, Allahabad 211006, Uttar Pradesh, India
[3] Indian Inst Informat Technol, Allahabad 211012, Uttar Pradesh, India
来源：
ELEVENTH INTERNATIONAL CONFERENCE ON COMMUNICATION NETWORKS, ICCN 2015/INDIA ELEVENTH INTERNATIONAL CONFERENCE ON DATA MINING AND WAREHOUSING, ICDMW 2015/NDIA ELEVENTH INTERNATIONAL CONFERENCE ON IMAGE AND SIGNAL PROCESSING, ICISP 2015 | 2015年 / 54卷
关键词：
Patent search; Query expansion; Retrieval; Semantic similarity; Wordnet; Wikipedia;
D O I：
10.1016/j.procs.2015.06.045
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Patent search is a complex task and involves a great level of expertise. Through this research we have tried to find similar patents by expanding the user query semantically. The main purpose of this research is to investigate how the patent retrieval system can be improved by using words which have same expression i.e. semantically similar. WorldNet and Wikipedia are used as an external source for expanding the query. Result shows that expanded query yields better results compared to conventional approaches of patent search. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码：390 / 395
页数：6
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