MERAL Myanmar Education Research and Learning Portal
Item
{"_buckets": {"deposit": "9c63d69e-822e-4848-98f3-83fba43a886d"}, "_deposit": {"id": "4809", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4809"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4809", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Construction of Knowledge Base and Review Opinion Mining: Crowdsourcing Approach", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "This system proposes a framework forknowledge base construction by using crowdsourcingapproach. The travel related information is stored inknowledgebase by crowd of people via internet. Thesystem creates domain ontology presenting travelinformation support system which includes linkeddata between tourist destinations and its attractions,e hotels, transportation, food and others. As anexample scenario, when a user who does not knowabout Myanmar, searches a local tourist destination,the system retrieves related linked data. Many peoplefrom the crowd enter review comments which havebeen carried out review identification and store inreview database. After that, opinion mining is appliedfor processing review identification to produce travelopinion information to be updated in the ontology. Byusing this system, user gets useful travel relatedinformation and recommendations which has beencontributed by many people from differentperspectives. The system introduces a methoddeveloping the domain ontology and opinion miningwith the help of crowd of people in order to supportinformation for travelers."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value": []}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value": []}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Fifteenth International Conference on Computer Applications(ICCA 2017)", "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, Nilar"}, {"subitem_authors_fullname": "Naing, Thinn Thu"}]}]}, "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": "2017-02-16"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/705"}, "item_title": "Construction of Knowledge Base and Review Opinion Mining: Crowdsourcing Approach", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004809", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-11"}, "publish_date": "2019-07-11", "publish_status": "0", "recid": "4809", "relation": {}, "relation_version_is_last": true, "title": ["Construction of Knowledge Base and Review Opinion Mining: Crowdsourcing Approach"], "weko_shared_id": -1}
Construction of Knowledge Base and Review Opinion Mining: Crowdsourcing Approach
http://hdl.handle.net/20.500.12678/0000004809
http://hdl.handle.net/20.500.12678/0000004809