Optimization Technique for Efficient Dynamic Query Forms with Keyword Search and NoSQL

Abstract

Modern web database as well as scientific database maintains tremendous and heterogeneous that is unstructured data. In order to mine this data traditional data mining technologies cannot work properly. These real word databases may contain hundreds or even thousands of relations and attributes. Latest trends like Big data and cloud computing that leads to the adoption of NoSQL which simply means Not Only SQL. In current scenario Most of the web applications are hosted in cloud and that available through internet. This create explosion in number of concurrent users. So the technique to handle unstructured data is proposed in our work named as Dynamic query forms with nosql. This system presents dynamic query form interface for database exploration of an organization. In this system document oriented NoSQL database is used for that purpose MONGODB is used which support dynamic queries that do not require predefined map reduce function. And further the process generation of a query form is an iterative process guided by user. At each step system automatically generate ranking list of form components and user adds the desired form component into query form and submit queries to view query result. Two traditional measures to evaluate the quality of query result i.e, precision and recall is presented. Quality measures can be derived using overall performance measure as Fscore
DOI: 10.17762/ijritcc2321-8169.150703