{"_buckets": {"deposit": "235ca9e1-2f1f-4d93-a14b-82470f57c2ea"}, "_deposit": {"id": "5111", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "5111"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/5111"}, "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Information Extraction System for IT Related Job", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "The current development of Webapplications such as Blogs and Wikipedia enablesusers to easily create and disseminate theircontents in the Web. As the contents on the Webare rapidly growing, the quantity of information isrecently becoming more important in the Web.With the large quantity of information, the Webhas now turned to the huge corpus that can beeasily accessible using search engines, that opensnew possibility to handle the vast relevantinformation and mine important structures. Thisstudy is how presented the information can beextracted from unstructured data by usingkeyword base searching method. Also, the systemcan store require data unstructured data asstructure data. In this system DOM (DocumentObject Model) parser is used for parsing webdocument. For the case study, it is implemented ITrelated jobs information extraction system fromHTML Web document. The proposed informationextraction approach produces results for specifiedtemplate and knowledge."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_name_i18n": "Keywords", "attribute_value": []}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-07-19"}], "displaytype": "preview", "download_preview_message": "", "filename": "119_PDFsam_PSC_final proof.pdf", "filesize": [{"value": "137 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 137000, "url": {"url": "https://meral.edu.mm/record/5111/files/119_PDFsam_PSC_final proof.pdf"}, "version_id": "d47bb10e-7ae5-49ca-a938-69355a686e2a"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Eighth 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": "Aye, Pyae Pyae"}, {"subitem_authors_fullname": "Hla, Ni Ni"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_name_i18n": "Upload type", "attribute_value": "Publication"}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_name_i18n": "Publication type", "attribute_value": "Article"}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_name_i18n": "Publication date", "attribute_value": "2017-12-27"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/999"}, "item_title": "Information Extraction System for IT Related Job", "item_type_id": "21", "owner": "1", "path": ["1582963302567/1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000005111", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-19"}, "publish_date": "2019-07-19", "publish_status": "0", "recid": "5111", "relation": {}, "relation_version_is_last": true, "title": ["Information Extraction System for IT Related Job"], "weko_shared_id": -1}