Improving the performance of location based spatial textual query processing using distributed strip index

Abstract

Location Based Services are information retrieval services that offer accurate information required by the end user. These services are the query based services accessed mainly through mobile devices and have number of uses in social networking for providing entertainment, business and healthcare information. In health care system, if a person wants to get immediate medical help at any place, he needs to access a medical database with the help of location-based query. Sometimes, location-based query can associate with the text information, such as the user wants to find the nearest hospital with the facility of pharmacy or ambulance. This type of query has to resolve both location and textual information. This paper proposes a new distributed index structure to resolve location-based query, and introduces a new probabilistic mechanism to correct the typographical errors when retrieving the documents. The experimental results show that the distributed strip index structure produces better performance than the existing distributed R tree structure.