Efficient search of patents with trend prediction

The aim of this project is to provide a fast and efficient system to facilitate patent search and predict trends by analysing patent search. Therefore, a web-based text search engine was built to enhance browsing capability and visualization tools were implemented to analyse patent search. Patents w...

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Bibliographic Details
Main Author: D.Shanthoshigaa
Other Authors: Anwitaman Datta
Format: Final Year Project (FYP)
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/73998
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author D.Shanthoshigaa
author2 Anwitaman Datta
author_facet Anwitaman Datta
D.Shanthoshigaa
author_sort D.Shanthoshigaa
collection NTU
description The aim of this project is to provide a fast and efficient system to facilitate patent search and predict trends by analysing patent search. Therefore, a web-based text search engine was built to enhance browsing capability and visualization tools were implemented to analyse patent search. Patents were crawled from USPTO (United States Patent and Trademark Office). Search engine was built on Solr and web interface was created on ASP.NET platform. Web interface includes charts to yield observation of analysis results with the support of Google Charts. Patents of 2000 to 2016 with a total of 4738 patents were crawled from USPTO and imported and indexed to Solr within 4s. Patent search engine combined with visualization tools provides various benefits. Patent search facilitates in narrowing down preferred technology and checking for existence of similar patents to protect novelty of a patent. As a result, going through a patent database ensures that inventors are progressing in the right direction. Integration with visualization tools helps businesses in various ways such as learning competitors that support a certain technology.
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spelling ntu-10356/739982023-03-03T20:52:31Z Efficient search of patents with trend prediction D.Shanthoshigaa Anwitaman Datta School of Computer Science and Engineering Parallel and Distributed Computing Centre DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing The aim of this project is to provide a fast and efficient system to facilitate patent search and predict trends by analysing patent search. Therefore, a web-based text search engine was built to enhance browsing capability and visualization tools were implemented to analyse patent search. Patents were crawled from USPTO (United States Patent and Trademark Office). Search engine was built on Solr and web interface was created on ASP.NET platform. Web interface includes charts to yield observation of analysis results with the support of Google Charts. Patents of 2000 to 2016 with a total of 4738 patents were crawled from USPTO and imported and indexed to Solr within 4s. Patent search engine combined with visualization tools provides various benefits. Patent search facilitates in narrowing down preferred technology and checking for existence of similar patents to protect novelty of a patent. As a result, going through a patent database ensures that inventors are progressing in the right direction. Integration with visualization tools helps businesses in various ways such as learning competitors that support a certain technology. Bachelor of Engineering (Computer Science) 2018-04-23T05:10:58Z 2018-04-23T05:10:58Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/73998 en Nanyang Technological University 62 p. application/pdf
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing
D.Shanthoshigaa
Efficient search of patents with trend prediction
title Efficient search of patents with trend prediction
title_full Efficient search of patents with trend prediction
title_fullStr Efficient search of patents with trend prediction
title_full_unstemmed Efficient search of patents with trend prediction
title_short Efficient search of patents with trend prediction
title_sort efficient search of patents with trend prediction
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing
url http://hdl.handle.net/10356/73998
work_keys_str_mv AT dshanthoshigaa efficientsearchofpatentswithtrendprediction