An Approach For Combining Spatial And Textual Skyline Querying Using Indexing Mechanism
Swathi Sowmya Bavirthi · Turkish Journal of Computer and Mathematics Education (TURCOMAT) · 2021
Most research works focus on either static data query processing or spatial data querying processing due to its large-sized data and the complex challenges that occur during its exploration, which is imperative. There are many state-of-the-art spatial indexing mechanisms for skyline querying to support either point/static or spatial objects, an indexing mechanism for skyline querying that supports both textual and spatial object querying is explored in this paper using an R* tree indexing mechanism that inserts data faster than its variant R tree technique and takes minimum execution time than the traditional spatial indexing mechanisms. The textual data is indexed using inverted files and attached to the R* tree. The proposed algorithm also works competitively under dynamic databases.