WEKO3
アイテム
{"_buckets": {"deposit": "5394ed9f-a708-4729-8547-92afa21b3b37"}, "_deposit": {"created_by": 13, "id": "9102", "owners": [13], "pid": {"revision_id": 0, "type": "depid", "value": "9102"}, "status": "published"}, "_oai": {"id": "oai:uec.repo.nii.ac.jp:00009102", "sets": ["6"]}, "author_link": ["24667", "24806", "24290"], "control_number": "9102", "item_10001_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2015-01-01", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "2", "bibliographicPageEnd": "448", "bibliographicPageStart": "440", "bibliographicVolumeNumber": "30", "bibliographic_titles": [{"bibliographic_title": "人工知能学会論文誌", "bibliographic_titleLang": "ja"}, {"bibliographic_title": "Transactions of the Japanese Society for Artificial Intelligence", "bibliographic_titleLang": "en"}]}]}, "item_10001_description_5": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "Linked Open Data (LOD) has a graph structure in which nodes are represented by URIs, and thus LOD sets are connected and searched through different domains. In fact, however, 5% of the values are literal (string without URI) even in DBpedia, which is a de facto hub of LOD. Therefore, this paper proposes a method of identifying and aggregating literal nodes in order to give a URI to literals that have the same meaning and to promote data linkage. Our method regards part of the LOD graph structure as a block image, and then extracts image features based on Scale-Invariant Feature Transform (SIFT), and performs ensemble learning, which is well known in the field of computer vision. In an experiment, we created about 30,000 literal pairs from a Japanese music category of DBpedia Japanese and Freebase, and confirmed thatthe proposed method correctly determines literal identity with F-measure of 76--85%.", "subitem_description_type": "Abstract"}]}, "item_10001_publisher_8": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "人工知能学会"}]}, "item_10001_relation_14": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type": "isIdenticalTo", "subitem_relation_type_id": {"subitem_relation_type_id_text": "10.1527/tjsai.30.440", "subitem_relation_type_select": "DOI"}}]}, "item_10001_relation_17": {"attribute_name": "関連サイト", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "https://doi.org/10.1527/tjsai.30.440", "subitem_relation_type_select": "DOI"}}]}, "item_10001_rights_15": {"attribute_name": "権利", "attribute_value_mlt": [{"subitem_rights": "Copyright © 人工知能学会 2015"}]}, "item_10001_source_id_9": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "1346-0714", "subitem_source_identifier_type": "ISSN"}]}, "item_10001_version_type_20": {"attribute_name": "著者版フラグ", "attribute_value_mlt": [{"subitem_version_resource": "http://purl.org/coar/version/c_970fb48d4fbd8a85", "subitem_version_type": "VoR"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "川村, 隆浩", "creatorNameLang": "ja"}, {"creatorName": "カワムラ, タカヒロ", "creatorNameLang": "ja-Kana"}, {"creatorName": "Kawamura, Takahiro", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "24667", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "長野, 伸一", "creatorNameLang": "ja"}, {"creatorName": "ナガノ, シンイチ", "creatorNameLang": "ja-Kana"}, {"creatorName": "Nagano, Shinichi", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "24806", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "大須賀, 昭彦", "creatorNameLang": "ja"}, {"creatorName": "オオスガ, アキヒコ", "creatorNameLang": "ja-Kana"}, {"creatorName": "Ohsuga, Akihiko", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "24290", "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": "2019-04-09"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "30_30_440.pdf", "filesize": [{"value": "374.2 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 374200.0, "url": {"label": "30_30_440", "url": "https://uec.repo.nii.ac.jp/record/9102/files/30_30_440.pdf"}, "version_id": "f06adacd-7240-4c14-88c5-34b4bb3e86c1"}]}, "item_keyword": {"attribute_name": "キーワード", "attribute_value_mlt": [{"subitem_subject": "linked open data", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "literal matching", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "instance matching", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "jpn"}]}, "item_resource_type": {"attribute_name": "資源タイプ", "attribute_value_mlt": [{"resourcetype": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "Linked Data統合に向けたLiteral値マッチング手法の提案", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Linked Data統合に向けたLiteral値マッチング手法の提案", "subitem_title_language": "ja"}, {"subitem_title": "Proposal of Literal Matching Method toward Linked Data Integration", "subitem_title_language": "en"}]}, "item_type_id": "10001", "owner": "13", "path": ["6"], "permalink_uri": "https://uec.repo.nii.ac.jp/records/9102", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2019-04-09"}, "publish_date": "2019-04-09", "publish_status": "0", "recid": "9102", "relation": {}, "relation_version_is_last": true, "title": ["Linked Data統合に向けたLiteral値マッチング手法の提案"], "weko_shared_id": -1}
Linked Data統合に向けたLiteral値マッチング手法の提案
https://uec.repo.nii.ac.jp/records/9102
https://uec.repo.nii.ac.jp/records/9102bd847fb8-7679-4fc5-9790-2eb67f1dc9fa
名前 / ファイル | ライセンス | アクション |
---|---|---|
30_30_440 (374.2 kB)
|
|
Item type | 学術雑誌論文 / Journal Article(1) | |||||
---|---|---|---|---|---|---|
公開日 | 2019-04-09 | |||||
タイトル | ||||||
言語 | ja | |||||
タイトル | Linked Data統合に向けたLiteral値マッチング手法の提案 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Proposal of Literal Matching Method toward Linked Data Integration | |||||
言語 | ||||||
言語 | jpn | |||||
キーワード | ||||||
言語 | en | |||||
主題 | linked open data | |||||
キーワード | ||||||
言語 | en | |||||
主題 | literal matching | |||||
キーワード | ||||||
言語 | en | |||||
主題 | instance matching | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者 |
川村, 隆浩
× 川村, 隆浩× 長野, 伸一× 大須賀, 昭彦 |
|||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Linked Open Data (LOD) has a graph structure in which nodes are represented by URIs, and thus LOD sets are connected and searched through different domains. In fact, however, 5% of the values are literal (string without URI) even in DBpedia, which is a de facto hub of LOD. Therefore, this paper proposes a method of identifying and aggregating literal nodes in order to give a URI to literals that have the same meaning and to promote data linkage. Our method regards part of the LOD graph structure as a block image, and then extracts image features based on Scale-Invariant Feature Transform (SIFT), and performs ensemble learning, which is well known in the field of computer vision. In an experiment, we created about 30,000 literal pairs from a Japanese music category of DBpedia Japanese and Freebase, and confirmed thatthe proposed method correctly determines literal identity with F-measure of 76--85%. | |||||
書誌情報 |
ja : 人工知能学会論文誌 en : Transactions of the Japanese Society for Artificial Intelligence 巻 30, 号 2, p. 440-448, 発行日 2015-01-01 |
|||||
出版者 | ||||||
出版者 | 人工知能学会 | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1346-0714 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1527/tjsai.30.440 | |||||
権利 | ||||||
権利情報 | Copyright © 人工知能学会 2015 | |||||
関連サイト | ||||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.1527/tjsai.30.440 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |