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Autocomplete Text using Graph Database

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Rahul Patel, Sanket Sheth, Kavita Kelkar

Rahul Patel, Sanket Sheth and Kavita Kelkar. Autocomplete Text using Graph Database. International Journal of Computer Applications 144(12):42-45, June 2016. BibTeX

	author = {Rahul Patel and Sanket Sheth and Kavita Kelkar},
	title = {Autocomplete Text using Graph Database},
	journal = {International Journal of Computer Applications},
	issue_date = {June 2016},
	volume = {144},
	number = {12},
	month = {Jun},
	year = {2016},
	issn = {0975-8887},
	pages = {42-45},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2016910509},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


This paper gives the idea about autocomplete predictive text search coupled with using graph database for storing various nodes. Firstly, the paper focuses on the search bar developed using web technologies that is platform independent and can be deployed on any system. It deals with the Jquery and AJAX mechanisms to give the user immediate autocomplete results before he or she has finished typing. Secondly, the paper discusses the role of a graph database technology used named Neo4j that stores nodes and orders relationships between them. The use of Cypher queries has been explained to retrieve the data from the graph database and JSON encode it on the screen where the user’s current focus remains.


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