{"_buckets": {"deposit": "3592881a-05d5-40b6-9966-b9c4860cb37a"}, "_deposit": {"created_by": 21, "id": "3142", "owners": [21], "pid": {"revision_id": 0, "type": "depid", "value": "3142"}, "status": "published"}, "_oai": {"id": "oai:ir.soken.ac.jp:00003142", "sets": ["19"]}, "author_link": ["225", "226", "224"], "item_1_biblio_info_21": {"attribute_name": "書誌情報（ソート用）", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2012-03-23", "bibliographicIssueDateType": "Issued"}, "bibliographic_titles": [{}]}]}, "item_1_creator_2": {"attribute_name": "著者名", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "MENENDEZ MORA, Raul Ernesto"}], "nameIdentifiers": [{"nameIdentifier": "224", "nameIdentifierScheme": "WEKO"}]}]}, "item_1_creator_3": {"attribute_name": "フリガナ", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "メヌンデス　モラ, ラウル　エルネスト"}], "nameIdentifiers": [{"nameIdentifier": "225", "nameIdentifierScheme": "WEKO"}]}]}, "item_1_date_granted_11": {"attribute_name": "学位授与年月日", "attribute_value_mlt": [{"subitem_dategranted": "2012-03-23"}]}, "item_1_degree_grantor_5": {"attribute_name": "学位授与機関", "attribute_value_mlt": [{"subitem_degreegrantor": [{"subitem_degreegrantor_name": "総合研究大学院大学"}]}]}, "item_1_degree_name_6": {"attribute_name": "学位名", "attribute_value_mlt": [{"subitem_degreename": "博士（情報学）"}]}, "item_1_description_1": {"attribute_name": "ID", "attribute_value_mlt": [{"subitem_description": "2012050", "subitem_description_type": "Other"}]}, "item_1_description_12": {"attribute_name": "要旨", "attribute_value_mlt": [{"subitem_description": "\u0026nbsp;\u0026nbsp;The semantic web provides a common framework that allows data to be shared and reused\r\nacross application, enterprise, and community boundaries. In order to achieve the goals\r\nof the semantic web, it have to be able to define and to describe the relations among data\r\n(i.e., resources) on the Web. Ontologies are one of the formal representation for organizing\r\ninformation in the semantic web and they are also used in artificial intelligence,\r\nsystems engineering, software engineering, biomedical informatics, library science, enterprise\r\nbookmarking, and information architecture as a form of knowledge representation\r\nabout the world or some part of it. In the semantic web context, since many actors provide\r\ntheir own ontologies, ontology matching or ontology alignment has taken a critical\r\nrole for helping heterogeneous resources to inter-operate [23].\r\n\u0026nbsp;\u0026nbsp;Ontology matching tools find classes of data that are \"semantically equivalent\". This\r\nprocess determine correspondences between concepts which are called alignments [22].\r\nFinding those correspondences imply a semantic similarity assessment between the involved\r\nconcepts.\r\n\u0026nbsp;\u0026nbsp;Semantic similarity of words pairs is often represented by the similarity between the\r\nconcepts associated with the words. Several methods have been developed to compute\r\nwords similarity, most of them operating on taxonomic dictionaries like WordNet [24]\r\nor external corpus like the Brown Corpus. However the majority of them suffer from a\r\nserious limitation. They only focus on the semantic information shared by those words, or\r\nin the semantic differences, but they have been rarely combined in a broader perspective.\r\n\u0026nbsp;\u0026nbsp;In this thesis we developed and applied a model of semantic similarity computation for\r\nword pair comparison. This model consider the semantic commonalities and the semantic\r\ndifferences as the core of its approach. By applying the model five new WordNet-based\r\nsemantic similarity measures for word pair comparison were created. Four of this semantic\r\nsimilarity measures obtained higher values of correlation with human judgment than their\r\noriginal expressions, while the fifth one remained as competitive as their original version.\r\n\u0026nbsp;\u0026nbsp;We also studyWordNet taxonomic properties to extend a corpus-independent information\r\ncontent metric. The application of this new metric in one of the previously developed\r\nnode-based semantic similarity allowed us to obtain the highest value of correlation with\r\nrespect to human judgment. This thesis provides a general an extensible approach of\r\nsemantic similarity computation for word pair comparison.", "subitem_description_type": "Other"}]}, "item_1_description_18": {"attribute_name": "フォーマット", "attribute_value_mlt": [{"subitem_description": "application/pdf", "subitem_description_type": "Other"}]}, "item_1_description_7": {"attribute_name": "学位記番号", "attribute_value_mlt": [{"subitem_description": "総研大甲第1515号", "subitem_description_type": "Other"}]}, "item_1_select_14": {"attribute_name": "所蔵", "attribute_value_mlt": [{"subitem_select_item": "有"}]}, "item_1_select_16": {"attribute_name": "複写", "attribute_value_mlt": [{"subitem_select_item": "全文公開可"}]}, "item_1_select_17": {"attribute_name": "公開状況", "attribute_value_mlt": [{"subitem_select_item": "全文公開可"}]}, "item_1_select_8": {"attribute_name": "研究科", "attribute_value_mlt": [{"subitem_select_item": "複合科学研究科"}]}, "item_1_select_9": {"attribute_name": "専攻", "attribute_value_mlt": [{"subitem_select_item": "17 情報学専攻"}]}, "item_1_text_10": {"attribute_name": "学位授与年度", "attribute_value_mlt": [{"subitem_text_value": "2011"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "MENENDEZ MORA, Raul Ernesto", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "226", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "ファイル情報", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2016-02-17"}], "displaytype": "simple", "download_preview_message": "", "file_order": 0, "filename": "甲1515_要旨.pdf", "filesize": [{"value": "282.1 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_11", "mimetype": "application/pdf", "size": 282100.0, "url": {"label": "要旨・審査要旨", "url": "https://ir.soken.ac.jp/record/3142/files/甲1515_要旨.pdf"}, "version_id": "12efc342-5101-451d-b2b4-5a638a31aa7b"}, {"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2016-02-17"}], "displaytype": "simple", "download_preview_message": "", "file_order": 1, "filename": "甲1515_本文.pdf", "filesize": [{"value": "2.7 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_11", "mimetype": "application/pdf", "size": 2700000.0, "url": {"label": "本文", "url": "https://ir.soken.ac.jp/record/3142/files/甲1515_本文.pdf"}, "version_id": "e4d9bb6a-fbbd-4250-8614-6c93a1eba7ba"}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "資源タイプ", "attribute_value_mlt": [{"resourcetype": "thesis", "resourceuri": "http://purl.org/coar/resource_type/c_46ec"}]}, "item_title": "Improving Semantic Similarity Measures for Word Pair Comparison", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Improving Semantic Similarity Measures for Word Pair Comparison"}, {"subitem_title": "Improving Semantic Similarity Measures for Word Pair Comparison", "subitem_title_language": "en"}]}, "item_type_id": "1", "owner": "21", "path": ["19"], "permalink_uri": "https://ir.soken.ac.jp/records/3142", "pubdate": {"attribute_name": "公開日", "attribute_value": "2012-09-14"}, "publish_date": "2012-09-14", "publish_status": "0", "recid": "3142", "relation": {}, "relation_version_is_last": true, "title": ["Improving Semantic Similarity Measures for Word Pair Comparison"], "weko_shared_id": -1}