Spatial Ambiguities Optimization in GIR

Yadav, Arun Kumar and Yadav, Jay Kant Pratap Singh and Yadav, Divakar (2020) Spatial Ambiguities Optimization in GIR. EAI Endorsed Transactions on Scalable Information Systems, 7 (28). e4. ISSN 2032-9407

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INTRODUCTION: Huge amount of geographically referenced information is available on World Wide Web and has become an excellent source for retrieval of desired information. Extraction of relevant information from such a huge unstructured source is not an easy task.

OBJECTIVES: In this paper, we propose a location based search engine, designing two indexes namely spatial index and inverted index. Using these indexes, we are able to solve toponym ambiguity and overlapping of documents.

METHODS: To handle toponym ambiguity problem, we designed and implemented architecture for directional web document search. The architecture poses spatial followed by textual indexing for toponym resolution and to reduce overlapping of documents in geographical locations.

RESULTS: The proposed architecture was implemented and tested on spatial and textural data sets.

CONCLUSION: The performance is measured in terms of precision and false positive parameters and found that the proposed architecture performs better for geo/geo and geo/non-geo search queries.

Item Type: Article
Uncontrolled Keywords: Geographical information retrieval, geoparsing, geotagging, gazetteer, spatial indexing, textual indexing
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 04 Feb 2021 14:26
Last Modified: 04 Feb 2021 14:26

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