{"_buckets": {"deposit": "fc05cbc8-9882-4cb5-8ce3-9664840d5097"}, "_deposit": {"id": "4454", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4454"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4454", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Improved Ranking Method for Keyword Queries on Relational Database", "subitem_1551255648112": "en_US"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Keyword search is an easy and potentiallyeffective way to find information that is stored inrelational database for ordinary users or webusers. As results needed by user are assembledfrom joining tuples of multiple relations, rankingkeyword queries are needed to retrieve relevantresults by a given keyword query. For a givenkeyword query, we first generate a set of joiningtuples, such as candidate networks (CNs). Wethen model the generated CN as a document. Weevaluate the score for each document to estimateits relevance to a given keyword query. Finally,we rank the relevant queries by using eachevaluated score as high as possible. In thispaper, we propose a new ranking method byadapting existing IR scoring techniques based onthe virtual document. We evaluate the proposedranking method on DBLP dataset. Theexperimental results are shown by comparison ofthe proposed ranking method and the previousIR ranking method."}]}, "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": "2019-11-13"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "10018.pdf", "filesize": [{"value": "730 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 730000.0, "url": {"url": "https://meral.edu.mm/record/4454/files/10018.pdf"}, "version_id": "1c68772d-b7c9-4db5-8a06-2d6646965724"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Tenth International Conference On Computer Applications (ICCA 2012)", "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": "Thein, 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": "2012-02-28"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/2385"}, "item_title": "Improved Ranking Method for Keyword Queries on Relational Database", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004454", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-11-13"}, "publish_date": "2019-11-13", "publish_status": "0", "recid": "4454", "relation": {}, "relation_version_is_last": true, "title": ["Improved Ranking Method for Keyword Queries on Relational Database"], "weko_shared_id": -1}