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INSPIRE: A Framework for Incremental Spatial Prefix Query Relaxation
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INSPIRE: A Framework for Incremental Spatial Prefix Query Relaxation

Category : Software Engneering


Sub Category : JAVA


Project Code : ITJSW01


Project Abstract

INSPIRE: A Framework for Incremental Spatial Prefix Query Relaxation

 

ABSTRACT:-

 

Geo-textual data are generated in abundance. Recent studies focused on the processing of spatial keyword queries which retrieve objects that match certain keywords within a spatial region. To ensure effective retrieval, various extensions were done including the allowance of errors in keyword matching and auto completion using prefix matching. In this paper, we propose INSPIRE, a general framework, which adopts a unifying strategy for processing different variants of spatial keyword queries. We adopt the auto completion paradigm that generates an initial query as a prefix matching query. If there are few matching results, other variants are performed as a form of relaxation that reuses the processing done in the earlier phase. The types of relaxation allowed include spatial region expansion and exact/approximate prefix/substring matching. Moreover, since the auto completion paradigm allows appending characters after the initial query, we look at how query processing done for the initial query and relaxation can be reused in such instances. Compared to existing works which process variants of spatial keyword query as new queries over different indexes, our approach offers a more compelling way to efficient and effective spatial keyword search. Extensive experiments substantiate our claims

EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:-

Existing process variants of spatial keyword query as new queries over different indexes.

 Existing works handle some of these types of relaxation as a single query, relaxation means re-issuing a new query every time.

PROPOSED CONCEPT: -

We propose several variants of the string filtering techniques to effectively remove data objects that do not satisfy the query condition.

Identify the relationships among different types of relaxation for the spatial prefix query, and then propose a framework to incrementally process the relaxation for a spatial prefix query.

EXISTING TECHNIQUE:-

OSM and GNIS.

PROPOSED TECHNIQUE:-

Inter-query Optimization.

TECHNIQUE DEFINITION:-

Spatial keyword search has been receiving significant attention Summarized three types of spatial keyword queries. They surveyed twelve state-of-the-art geo-textual indexes and compared them.

Work has addressed the search-as-you-type problem at the q-gram level, so no direct comparison can be made.

TECHNIQUE DEFINITION:-

In contrast, the positive semi-definiteness of the correlation matrix is guaranteed in our work.

By applying the framework, features which are redundant (from a global point of view) are expected to get lower refined score and thus be excluded from the selected subset of features.

DRAWBACKS:-

Existing methods answer one type of particular query using an optimized index structure.

 

ADVANTAGES:-

The search strategy proposed in INSPIRE fulfills the need for context-aware local search.

INSPIRE is a good complement to online web services on context-aware local search. When a user conducts a local search, the user would continuously zoom in a particular spatial region in the viewport.

 
 
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