{"_buckets": {"deposit": "5a8c013a-1f3a-4383-90bf-55844bab3cd3"}, "_deposit": {"created_by": 2, "id": "241", "owners": [2], "pid": {"revision_id": 0, "type": "depid", "value": "241"}, "status": "published"}, "_oai": {"id": "oai:kutarr.kochi-tech.ac.jp:00000241", "sets": ["5"]}, "author_link": ["999", "1000", "998"], "item_2_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2011-10", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "4", "bibliographicPageEnd": "11", "bibliographicPageStart": "1", "bibliographicVolumeNumber": "4", "bibliographic_titles": [{"bibliographic_title": "情報処理学会論文誌 プログラミング"}]}]}, "item_2_description_4": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "正規表現は広く用いられており，文章が正規表現にマッチするかどうかの問合せ （クエリ） を効率的に実行することは重要である．これまで，正規表現マッチングを高速に行う逐次的な手法について多くの研究がある．正規表現マッチングを並列に行う方法についても研究があるが，その多くは，複数の文章に対するクエリの並列実行や，複数のクエリの並列実行というような自明な並列実行について扱うものである．一方で，巨大な 1 つの文章に対して 1 つのクエリを行う場合には，正規表現マッチングそのものを並列化する必要が発生する．本稿では，正規表現マッチングを並列化する手法について議論を行う．また，本稿で提案する正規表現の並列マッチングの計算効率を評価するため，Hadoop を用いて実験を行いその結果を報告する．Hadoop は，大規模分散データに対して効率的に処理を行うことができる MapReduce フレームワークのオープンソース実装である．Regular expressions are now widely used and efficient implementation of regular expression matching is an important issue for efficient manipulation of data. There have been many studies for efficient implementation of regular expression matching. There have also been studies on parallel implementations of regular expression matching, but these implementations exploit parallelism only in executing a single query on multiple documents or in executing multiple queries on a single document. In this paper, we discuss a technique to parallelize a regular expression query itself. In other words, with this technique we can execute a regular expression query on a single document in parallel. We evaluate efficiency of regular expression matchings parallelized by the proposed method on the Hadoop; the Hadoop is an open-source implementation of the MapReduce framework that enables efficient processing of large-scale data.", "subitem_description_type": "Abstract"}]}, "item_2_publisher_35": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "情報処理学会"}]}, "item_2_rights_14": {"attribute_name": "権利", "attribute_value_mlt": [{"subitem_rights": "ここに掲載した著作物の利用に関する注意 本著作物の著作権は情報処理学会に帰属します。本著作物は著作権者である情報処理学会の許可のもとに掲載するものです。ご利用に当たっては「著作権法」ならびに「情報処理学会倫理綱領」に従うことをお願いいたします。"}, {"subitem_rights": "Notice for the use of this material The copyright of this material is retained by the Information Processing Society of Japan (IPSJ). This material is published on this web site with the agreement of the author (s) and the IPSJ. Please be complied with Copyright Law of Japan and the Code of Ethics of the IPSJ if any users wish to reproduce, make derivative work, distribute or make available to the public any part or whole thereof."}]}, "item_2_version_type_18": {"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": "松崎, 公紀"}], "nameIdentifiers": [{"nameIdentifier": "998", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "江本, 健斗"}], "nameIdentifiers": [{"nameIdentifier": "999", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "劉, 雨"}], "nameIdentifiers": [{"nameIdentifier": "1000", "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": "2019-02-13"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "27-28.pdf", "filesize": [{"value": "375.8 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 375800.0, "url": {"label": "27-28.pdf", "url": "https://kutarr.kochi-tech.ac.jp/record/241/files/27-28.pdf"}, "version_id": "5870733d-87bd-41e2-ba3b-15dfc26a66c5"}]}, "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": "正規表現マッチングの並列化とそのHadoopによる評価", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "正規表現マッチングの並列化とそのHadoopによる評価"}]}, "item_type_id": "2", "owner": "2", "path": ["5"], "permalink_uri": "http://hdl.handle.net/10173/1363", "pubdate": {"attribute_name": "公開日", "attribute_value": "2016-03-25"}, "publish_date": "2016-03-25", "publish_status": "0", "recid": "241", "relation": {}, "relation_version_is_last": true, "title": ["正規表現マッチングの並列化とそのHadoopによる評価"], "weko_shared_id": -1}