{"_buckets": {"deposit": "44d9a3a7-c692-486a-84fc-14f527bc4618"}, "_deposit": {"id": "4722", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4722"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4722", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Triple Patterns Extraction from Unstructured Sentence Using Domain Specific Ontology", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Triplet extraction algorithms can assist the webquery service in order to translate the unstructuredinput query to ontology understanding query SPARQL.SPARQL query language has a graph based structureand can be built by using the triplets (i.e. subjects,predicates and object). However, end users enter theunstructured sentence (words, statements, etc.) as aninput when they wanted to search the requiredinformation on the web. So, it is needed to extract thetriplets (i.e. subjects, predicates and objects) from theinput query to build the ontology browsing querySPARQL. Although there are many triplet extractionalgorithms, either they can’t fully define all triplepatterns from the incoming query or they are timeconsuming process. The proposed algorithm presentedin this paper can handle this triplet’s incompletenessproblem and the aim of this system is to extract thespecific triplets from incoming query and to add thenecessary information for supporting SPARQL querygenerating process in a time-saving manner. Thisalgorithm mainly detects the noun form of words fromthe input query with the help of domain specificontology instead of using parser and takes the worstcase time complexity O(n2)  to extract the triplets fromthe unstructured sentences."}]}, "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": "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": "Myint, Zin Thu Thu"}, {"subitem_authors_fullname": "Win, Kay Khaing"}]}]}, "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/123456789/429"}, "item_title": "Triple Patterns Extraction from Unstructured Sentence Using Domain Specific Ontology", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004722", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-04"}, "publish_date": "2019-07-04", "publish_status": "0", "recid": "4722", "relation": {}, "relation_version_is_last": true, "title": ["Triple Patterns Extraction from Unstructured Sentence Using Domain Specific Ontology"], "weko_shared_id": -1}