%0 Journal Article %1 aung1993hybrid %A Aung, Su Nandar %D 2014 %J Computer Science & Engineering: An International Journal %K Boolean Combination Keyword Queries Range Scalable Search Spatial index scheme structure %N 5/6 %P 21-28 %R 10.5121/cseij.2014.4603 %T HYBRID GEO-TEXTUAL INDEX STRUCTURE FOR SPATIAL RANGE KEYWORD SEARCH %U http://airccse.org/journal/cseij/papers/4614cseij03.pdf %V 4 %X Spatial database are becoming more and more popular in recent years. There is more and more commercial and research interest in location-based search from spatial database. Spatial keyword search has been well studied for years due to its importance to commercial search engines. Specially, a spatial keyword query takes a user location and user-supplied keywords as arguments and returns objects that are spatially and textually relevant to these arguments. Geo-textual index play an important role in spatial keyword querying. A number of geo-textual indices have been proposed in recent years which mainly combine the R-tree and its variants and the inverted file. This paper propose new index structure that combine K-d tree and inverted file for spatial range keyword query which are based on the most spatial and textual relevance to query point within given range.

@article{aung1993hybrid, abstract = {Spatial database are becoming more and more popular in recent years. There is more and more commercial and research interest in location-based search from spatial database. Spatial keyword search has been well studied for years due to its importance to commercial search engines. Specially, a spatial keyword query takes a user location and user-supplied keywords as arguments and returns objects that are spatially and textually relevant to these arguments. Geo-textual index play an important role in spatial keyword querying. A number of geo-textual indices have been proposed in recent years which mainly combine the R-tree and its variants and the inverted file. This paper propose new index structure that combine K-d tree and inverted file for spatial range keyword query which are based on the most spatial and textual relevance to query point within given range. }, added-at = {2018-10-19T07:32:01.000+0200}, author = {Aung, Su Nandar}, biburl = {https://www.bibsonomy.org/bibtex/2a4a86b6457982cbc3a05e4591e2a1043/micaela}, doi = {10.5121/cseij.2014.4603}, ee = {http://dx.doi.org/10.1093/bioinformatics/9.6.741}, interhash = {f8400ad9d24f5b2ec26834dd2b43d52a}, intrahash = {a4a86b6457982cbc3a05e4591e2a1043}, issn = {2231 - 329X (Online) ; 2231 - 3583 (Print)}, journal = {Computer Science & Engineering: An International Journal}, keywords = {Boolean Combination Keyword Queries Range Scalable Search Spatial index scheme structure}, month = {December}, number = {5/6}, pages = {21-28}, timestamp = {2018-10-19T07:32:01.000+0200}, title = {HYBRID GEO-TEXTUAL INDEX STRUCTURE FOR SPATIAL RANGE KEYWORD SEARCH }, url = {http://airccse.org/journal/cseij/papers/4614cseij03.pdf}, volume = 4, year = { 2014 } }