Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/73998
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | D.Shanthoshigaa | - |
dc.date.accessioned | 2018-04-23T05:10:58Z | - |
dc.date.available | 2018-04-23T05:10:58Z | - |
dc.date.issued | 2018 | - |
dc.identifier.uri | http://hdl.handle.net/10356/73998 | - |
dc.description.abstract | 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. | en_US |
dc.format.extent | 62 p. | en_US |
dc.language.iso | en | en_US |
dc.rights | Nanyang Technological University | - |
dc.subject | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing | en_US |
dc.title | Efficient search of patents with trend prediction | en_US |
dc.type | Final Year Project (FYP) | en_US |
dc.contributor.supervisor | Anwitaman Datta | en_US |
dc.contributor.school | School of Computer Science and Engineering | en_US |
dc.description.degree | Bachelor of Engineering (Computer Science) | en_US |
dc.contributor.research | Parallel and Distributed Computing Centre | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | restricted | - |
Appears in Collections: | SCSE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FYP_Final_Report_D.Shanthoshigaa.pdf Restricted Access | 3.61 MB | Adobe PDF | View/Open |
Page view(s)
322
Updated on Mar 26, 2024
Download(s)
11
Updated on Mar 26, 2024
Google ScholarTM
Check
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.