{"created":"2020-09-01T15:02:57.844999+00:00","id":4534,"links":{},"metadata":{"_buckets":{"deposit":"f8559c21-fe90-47ee-a73d-34d90e7bf9f0"},"_deposit":{"id":"4534","owners":[],"pid":{"revision_id":0,"type":"recid","value":"4534"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/4534","sets":["1582963302567:1597824322519"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"The Efficient Geospatial Index Structure for Spatial Keyword Query with  Myanmar Language on Mobile Devices","subitem_1551255648112":"en_US"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Nowadays, Location-based services (LBS) are widely used in numerous areassuch as positioning systems, tourist information, social and business areas. Manyresearchers try to develop the LBS application to fulfill the user requirements. Theusage of location-based services systems is increasing around the world includingMyanmar. Tourists in Myanmar are now increasing day by day. Location-basedservices systems in Myanmar still have the requirements compared with the otherdeveloped countries to provide both local users and foreign users with thegeo-information of Myanmar like nearest geo-information, geo-information around theuser’s desired point. Moreover, most of the location-based services applications areprocessed in online. Sometimes, it cannot access the information when the internetconnection is weak or cannot be available.This research is implemented for retrieving the geo-information on the mobiledevices using both Myanmar and English language to provide both local and foreignvisitors although it is considered for mainly focus on the Myanmar language. Therefore,it can support not only foreign users but also local users who are difficult for using theEnglish version of the location-based services applications. For fetching thegeo-information, the nearest keyword query and range keyword query can be operatednot only from the user’s current location but also from the user’s desired place. Thesequeries are processed based on the given location and given keyword. In this research,user can pre-find the desired geo-location due to be able to process these queries fromthe user’s desired location. In addition, the geo-information can be obtained by usingthe keyword search. In this keyword query, the geo-information is not only the locationinformation with their related text information but also the distance information fromthis geo-information to the user’s current location. Moreover, it also gives thegeo-information which has the minimum distance to current location among theresulted geo-information. These spatial keyword queries can be processed whether theinternet connection is available or not.The geo-information contains not only the geo-location (latitude and longitude)but also the related text information. The data of the geo-information can be huge sothat it can be time-consuming for searching the geo-information. The geo-spatial indexstructure is one of the key factors to perform the fast spatial keyword query processingbecause the mobile devices possess the limited memory and a low computationaliiicapacity than the personal computer. Thus, it is required to build the geospatial indexstructure to obtain the efficient spatial keyword query processing.In this research, a new index structure is constructed to get the fast access thegeo-data for Myanmar keyword query. In addition, this index structure is alsoconsidered for extracting the geo-information with English keyword Query. Hilbertcurve, B-tree and inverted file are utilized for constructing this index structure to getthe efficient searching on both geo-location data and textual data. Due to B-tree workson the one-dimensional data, Hilbert curve is used to map the two-dimensional data(geo-location data) to one-dimensional data. Then, B-tree is built according to theHilbert value and inverted file is embedded to the B-tree node. The proposed indexstructures are separately constructed depend on the services such as school, hotel andso on. Geo-spatial keyword queries processing in this research are operated with thisproposed index structure. It can reduce the searching time by using this proposed indexstructure. This research focuses on the Yangon Region. Mapbox vector map is used todisplay the geo-information in online and offline. Myanmar 3 font is used in thisresearch. This location-based service application can be used in android mobile version4.4 and above."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value":[]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-12-13"}],"displaytype":"preview","filename":"Myat Thiri Khine.pdf","filesize":[{"value":"3605 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/4534/files/Myat Thiri Khine.pdf"},"version_id":"8def535f-3616-4cf7-9c0a-177aa4fe04f9"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"","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":"University of Computer Studies, Yangon","subitem_supervisor(s)":[{"subitem_supervisor":""}]}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Khine, Myat Thiri"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Thesis"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2019-11"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/2458"},"item_title":"The Efficient Geospatial Index Structure for Spatial Keyword Query with  Myanmar Language on Mobile Devices","item_type_id":"21","owner":"1","path":["1597824322519"],"publish_date":"2019-12-13","publish_status":"0","recid":"4534","relation_version_is_last":true,"title":["The Efficient Geospatial Index Structure for Spatial Keyword Query with  Myanmar Language on Mobile Devices"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T02:08:47.695673+00:00"}