Title: GSKTM: efficient of query search for spatial keyword in text mining

Authors: Ramya Rayacherlu Sambasadasiva Reddy; Darshan Manu; G. Naveen Raju; Sejal Santosh Nimbhorkar; Venugopal Kuppanna Rajuk; S.S. Iyengar; L.M. Patnaik

Addresses: Department of Computer Science and Engineering, Dayananda Sagar College of Engineering, Bangalore, India ' Department of Computer Science and Engineering, Dayananda Sagar College of Engineering, Bangalore, India ' Department of Computer Science and Engineering, Dayananda Sagar College of Engineering, Bangalore, India ' Department of Computer Science and Engineering, Dayananda Sagar College of Engineering, Bangalore, India ' Bangalore University, Bengaluru, India ' Department of Computer Science and Engineering, Florida International University, Miami, Florida, USA ' INSA, National Institute of Advanced Studies, Indian Institute of Science Campus, Bangalore, India

Abstract: In today's world, geo-positioning technologies, location-based services have attracted many researcher's due to the increasing amount of spatio textual objects in various applications like social networks, geo location services. Each spatial object consists of spatial locations and a set of query terms. In this paper, an efficient group of query search for spatial keyword in text mining is proposed that retrieves both spatial and textual keyword objects to effectively reduce the search space. The clusters and subclusters are constructed based on the calculated range of the objects location and categories in the dataset. Further, categorylist is constructed that identifies the category of interest (CoI) of users query. Experiments are conducted on two real dataset namely Euro and geographic names. It is observed that GSKTM outperforms inverted linear quad-tree (ILQ) with improved response time and provides groupwise top-k results.

Keywords: group; keyword; query search; spatial text feature selection.

DOI: 10.1504/IJICT.2024.142068

International Journal of Information and Communication Technology, 2024 Vol.25 No.4, pp.352 - 379

Accepted: 15 Nov 2023
Published online: 07 Oct 2024 *

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