Evaluation of Information Retrieval Performance Metrics using Real Estate Ontology

With an ever-increasing data over the internet, efficient information retrieval of data for its users has always been on stake. The issue is deeper when it comes to e-governance based real estate scenario, where there is a lack of interoperability found in buying and selling of property formats and loads of miscellaneous legal terminology that fetches inappropriate legal documentation for the users. Hence in today's Semantic web scenario, a Real estate ontology has been proposed under the Real Estate Information Retrieval Model and the model is evaluated by applying various information retrieval measures. This paper shows the implementation and analysis of various popular information retrieval metrics, be it a set retrieval or rank retrieval that can be used for performance evaluation of web retrieval of data. The proposed system depicts better results in almost all the metrics as compared to the initial user query set.