{"_buckets": {"deposit": "881f2c9a-5209-4309-be30-8830b1bfb19a"}, "_deposit": {"id": "4219", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4219"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4219", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "An approach for Large Scale Schema Matching by using Ontology", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Schema Matching can be efficiently done byusing ontology concepts. Ontology matching is oneof the well known topics of Semantic Web research.With the development and the use of a huge varietyof data (e.g. DB schemas, ontologies, taxonomies),in many domains (e.g. libraries, travelling, sports,medical fields, etc), Matching Techniques areattempted to overcome the challenge of reconcilingthese different interrelated representations. In thispaper, we are interested in clustering web datasources for large scale schema matchingapproaches. We attempt to cover the problems ofsome hidden regularities and semantic conflictsover different representation of web databases. So,we use a same model representation of ontologies totackle for all relational schemas for large scalesemantic matching in our system."}]}, "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": "2019-08-06"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "59020.pdf", "filesize": [{"value": "198 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 198000.0, "url": {"url": "https://meral.edu.mm/record/4219/files/59020.pdf"}, "version_id": "0fdbf0f1-5c6a-4b7f-9f33-7869ce8aba9f"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Fourth Local Conference on Parallel and Soft Computing", "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": "Hlaing, Su Su"}, {"subitem_authors_fullname": "Kham, Nang Saing Moon"}]}]}, "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": "2009-12-30"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/1911"}, "item_title": "An approach for Large Scale Schema Matching by using Ontology", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004219", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-08-06"}, "publish_date": "2019-08-06", "publish_status": "0", "recid": "4219", "relation": {}, "relation_version_is_last": true, "title": ["An approach for Large Scale Schema Matching by using Ontology"], "weko_shared_id": -1}