Special Issue Article Open Access

A Novel Approach for Semibulk Loading In IR-Tree

Abstract

A geospatial query is made up of two things, viz. keywords and a location, geographic search engine retrieves the documents which are textually as well as spatially relevant to keyword in query and location of it. The index should concurrently handle both the textual aspects and spatial aspects of the documents and query. Existing geographic search engines are inefficient in answering geographic queries in this way. In this paper, we propose an efficient index, called IR-tree, that together with a top-k document search algorithm facilitates four major tasks in document searches, spatial filtering, textual filtering, relevance computation, and document ranking in a fully integrated manner.IR Tree also allows to have different values for spatial and textual relevance.

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