{"created":"2020-09-01T14:23:40.829347+00:00","id":4239,"links":{},"metadata":{"_buckets":{"deposit":"4fe9020e-b215-45b0-8aa4-f2e02f9b62bc"},"_deposit":{"id":"4239","owners":[],"pid":{"revision_id":0,"type":"recid","value":"4239"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/4239","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Efficient Combined Index Structure for K-Nearest Neighbours Keyword Search on Spatial Database","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Spatial keyword search on spatial database hasbeen well studied for years due to its importance tocommercial search engines.Specially, a spatialkeyword query takes a user location and user-suppliedkeywords as arguments and returns object that isnearest k objects from user current location andtextually relevant to the user required keyword. Geotextualindex play an important role in spatial keywordquerying. This paper proposes the efficient combinedindex structure for K-Nearest Neighbours KeywordSearch on Spatial Database. That combine K-d treeand inverted file for nearest neighbor keyword querywhich is based on the most spatial and textualrelevance to query point and required keyword. It cansearch required k results with minimum IO costs andCPU costs. The k-results are ranked according to thedistance or keyword. The own dataset is created forYangon (Myanmar) region which contains latitude,longitude, name, description and category type of eachobject."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"Combination Scheme"},{"interim":"Spatial Keyword Queries"},{"interim":"Problem Statement"},{"interim":"Propoosed Index"},{"interim":"K-NN Keyword Search Algorithm"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-07-03"}],"displaytype":"preview","filename":"6.Efficient Combined Index Structure for K-Nearest Neighbour.pdf","filesize":[{"value":"393 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/4239/files/6.Efficient Combined Index Structure for K-Nearest Neighbour.pdf"},"version_id":"2c67d878-4c79-4e91-a768-555628776f0b"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Thirteenth International Conferences on Computer Applications(ICCA 2015)","subitem_pages":"","subitem_volume":""}]},"item_1583103147082":{"attribute_name":"Conference papers","attribute_value_mlt":[{"subitem_acronym":"","subitem_c_date":"","subitem_conference_title":"","subitem_part":"","subitem_place":"","subitem_session":"","subitem_website":""}]},"item_1583103211336":{"attribute_name":"Books/reports/chapters","attribute_value_mlt":[{"subitem_book_title":"","subitem_isbn":"","subitem_pages":"","subitem_place":"","subitem_publisher":""}]},"item_1583103233624":{"attribute_name":"Thesis/dissertations","attribute_value_mlt":[{"subitem_awarding_university":"","subitem_supervisor(s)":[{"subitem_supervisor":""}]}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Aung, Su Nandar"},{"subitem_authors_fullname":"Sein, Myint Myint"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Article"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2015-02-05"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/198"},"item_title":"Efficient Combined Index Structure for K-Nearest Neighbours Keyword Search on Spatial Database","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-03","publish_status":"0","recid":"4239","relation_version_is_last":true,"title":["Efficient Combined Index Structure for K-Nearest Neighbours Keyword Search on Spatial Database"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T01:06:10.742860+00:00"}