{"_buckets": {"deposit": "ffe4a1d9-d7d8-4295-8f48-c008147441d0"}, "_deposit": {"created_by": 45, "id": "5398", "owner": "45", "owners": [45], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "recid", "value": "5398"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/5398", "sets": ["user-uit"]}, "communities": ["uit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Keyword-based Search on Relational Data", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Keyword-based search in relational database is an easy and effective way for ordinary users or Web users to access relational databases. Even though the relational database management systems (RDBMs) have provided full-text search capabilities, they do not support keyword-based search model. The text databases and relational databases are different that is challenging task to apply the keyword search techniques in information retrieval (IR) to DB. Much research on keyword-search in relational databases has been developed. But existing researches are still problem which is a growing dissatisfaction among users searching for information that they are actually desirable. In this paper, we propose a new candidate network generation algorithm (Heuristic_CNGen) based on the Iterative Deepening A*( IDA*) algorithm. We also propose a new ranking method by adapting existing IR scoring techniques based on the virtual document. We present the keyword-based search to retrieve relevant queries in relational databases by free-style keyword query that improves the efficiency and effectiveness."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Keyword-based"}, {"interim": "Relational Database"}, {"interim": "Candidate Network"}, {"interim": "IR"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-09-16"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Keyword-based Search on Relational Data.pdf", "filesize": [{"value": "342 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 342000.0, "url": {"url": "https://meral.edu.mm/record/5398/files/Keyword-based Search on Relational Data.pdf"}, "version_id": "012fc314-da1f-4393-bc8a-8b37f3e7e97a"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "AICT", "subitem_c_date": "31 December, 2011", "subitem_place": "Myanmar"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Myint Myint Thein"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Conference paper"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2011-12-31"}, "item_title": "Keyword-based Search on Relational Data", "item_type_id": "21", "owner": "45", "path": ["1596102391527"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000005398", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-09-16"}, "publish_date": "2020-09-16", "publish_status": "0", "recid": "5398", "relation": {}, "relation_version_is_last": true, "title": ["Keyword-based Search on Relational Data"], "weko_shared_id": -1}