研究成果報告書
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1 様式 C-19 科学研究費助成事業 ( 科学研究費補助金 ) 研究成果報告書 研究成果の概要 ( 和文 ): 平成 24 年 3 月 31 日現在 機関番号 :32612 研究種目 : 基盤研究 (B) 研究期間 :2009~2011 課題番号 : 研究課題名 ( 和文 ) 大規模セマンティック情報資源構築プラットフォームの開発と利用 研究課題名 ( 英文 )APlatformforBuildingupLargeScaleofSemanticInformationResources 研究代表者山口高平 (YAMAGUCHI TAKAHIRA) 慶應義塾大学 理工学部 教授研究者番号 : 日本語ウィキペディアから大規模汎用オントロジーへの自動変換するために,40 種類の Info ボックステンプレートとトリプルを利用したプロパティ名自動抽出方法, カテゴリー からプロパティ定義域と値域, およびプロパティ上位下位関係の自動推定法, さらに, ト リプル分析によるプロパティタイプの自動推定法を考案し, 大規模で高精度の日本語 Wikipedia オントロジーを構築できた. さらに, この日本語 Wikipedia オントロジーを使 って, モビリティサービス, および, 言葉と動作を融合する人型ロボットを実装し, 良好 な評価結果を得た. 研究成果の概要 ( 英文 ): Here is discussed how to build up ontologies with many properties from Japanese Wikipedia. The ontologies includes is-a relationship (rdfs:subclassof), class-instance relationship (rdf:type) and synonym relation (skos:altlabel) moreover it includes property relations and types. Property relations are triples, property domain (rdfs:domain) and property range (rdfs:range). Property types are object (owl:objectproperty), data (owl:datatypeproperty), symmetric (owl:symmetricproperty), transitive (owl:transitiveproperty), functional (owl:functionalproperty) and inverse functional (owl:inversefunctionalproperty). Experimental case studies show us that the built Japanese Wikipedia Ontology goes better than DBpedia from utility when we use, such as Hub of Linked Data, especially in Japan. 交付決定額 ( 金額単位 : 円 ) 直接経費 間接経費 合計 2009 年度 5,000,000 1,500,000 6,500, 年度 4,500,000 1,350,000 5,850, 年度 4,300,000 1,290,000 5,590,000 年度年度総計 13,800,000 4,140,000 17,940,000 研究分野 : 科研費の分科 細目 : 情報学 知能情報学キーワード :Wikipedia, オントロジー,Linked Data, 人型ロボット
2 1. 研究開始当初の背景近年,Web2.0 と呼ばれるエンドユーザが情報を発信する技術トレンドが登場し, ソーシャルタグ ( フォークソノミィ ) や Wikipedia のような半構造情報資源が多数のユーザによって構築されるようになってきた. これらの半構造情報資源は, 人間が読み書きすることを前提とした構造化が成されているが, この半構造情報資源を適切に加工処理すれば, 計算機が理解可能な RDF データ,RDF スキーマ,OWL オントロジーを効率よく開発できる可能性がある. 2. 研究の目的既存オントロジーと非構造情報資源に加えて半構造情報資源を活用するツールを考案し, 大規模セマンティック情報資源 (RDF データ,RDF スキーマ,OWL オントロジー ) 構築プラットフォームを実装するとともに, その応用として,Web による知識サービスシステムを開発し, プラットフォームを評価することを研究目的とする. 3. 研究の方法 Wikipedia からオントロジーに自動変換するツールにより, 大規模セマンティック情報資源構築プラットフォームを開発し, いくつかのアプリケーションを通して, プラットフォームを評価する. 4. 研究成果オンライン百科事典 日本語ウィキペディア から大規模汎用オントロジーへの自動変換する方法として,140 種類の Info ボックステンプレートと ( 記事名, リスト構造の見出し語, リスト構造値 ) トリプルを利用したプロパティ名の自動抽出方法,2 前述したトリプルの主語である記事が属するカテゴリーからプロパティ定義域と値域, およびプロパティ上位下位関係の自動推定法, さらに,3トリプル分析による, オブジェクトプロパティ, データタイププロパティ, 対称関係プロパティ, 推移関係プロパティ, 関数関係プロパティの自動推定法を考案し実装した. その結果,Infobox から 95.2% の精度で 1,962,411 個のプロパティ, リスト構造から 92.5% の精度で 2,919,470 個のプロパティ,94.8% の精度で 9,486 個のプロパティ定義域,90.4% の精度で 49,262 個のプロパティ値域,88.3% の精度で 14,053 個のクラス - インスタンス関係, 92.1% の精度で 35,946 個の Is-a 関係を抽出した日本語 Wikipedia オントロジーを構築できた. さらに, この日本語 Wikipedia オントロジーを使って, モビリティサービス, および, 言葉と動作を融合する人型ロボットを設計し実装した. モビリティサービスでは, 行政区画, 高速道路, インターチェンジ, サービス / パーキングエリア,SA 内のレストランレビュー, 天気予報, 交通規制情報を提供する Web ページをスクレイプして, LinkedData(RDF データ ) を作成し,[1] ルート案内機能,[2]SA/PA 施設検索機能,[3] 高速道路周辺スポット検索機能,[4] 荒天時注意喚起機能,[5] 渋滞時支援機能などを実装し, インターナビなど, 既存のテレマティクスと比較した結果, 新機能の追加など, 本研究のサービス拡張容易性が優れている事を確認できた. また, ロボットの動作オントロジーを手作業で開発し, 日本語 Wikipedia オントロジーと動作オントロジーを有機的に関連づけ, 人型ロボットがユーザに健康法に関す
3 る QA から太極拳や海軍体操の動作を教示 し, さらに, 人型ロボットが KINECT 装備の 移動ロボットを呼び寄せ, 移動ロボットが ユーザの動作習熟度を自動判定して, その 判定結果を人型ロボットからユーザに伝達 するという, 異機能ロボット連携に基づく HRI(HumanRobotInteraction) を実現し た. この動作教示と動作判定の HRI は, 小 学生と高齢者が体験し, 大きな関心が寄せ られ, オントロジー連携に基づく言葉と動 作の連携機構, および異機能ロボット連携 機構の有用性が示された. 5. 主な発表論文等 ( 研究代表者 研究分担者及び連携研究者には下線 ) 雑誌論文 ( 計 15 件 ) 以下全て査読有り (1) 竹内広宜, 杉山喜昭, 山口高平 : 市場分 析におけるテキストマイニングを活用した データマイニングの実践 - 生ごみ処理機 の市場分析を例として -, 日本知能情報フ ァジイ学会誌 ( 知能と情報 ), 24(3), 2012 ( 掲 載決定 ) (2)H.Takeuchi,,T.Nakamura,T.Yamaguc hi: Predicate Argument Structure Analysis for Use Case Description Modeling, IEICE Transactions on Information and Systems(2012)( 掲載決 定 ) (3) 森田武史, 山口高平 :Linked Data を 利用した情報統合, 人工知能学会誌,Vol.27, No.2,pp (2012.3) (4) 玉川奨, 森田武史, 山口高平 : 日本語 Wikipedia からプロパティを備えたオント ロジーの構築, 人工知能学会論文誌,26 巻 第 4 号,pp (2011.7) (5) 山口高平, 森田武史 : 体感知教育を基 軸にしたサービス イノベーション人材育 成, 人工知能学会誌, Vol.26, No.2, pp (2011.3) (6) 山口高平 : エクスペリアンを基軸にしたサービ イノベショ教育, 情報システム学会誌,Vol. 7,No. 1,pp (2011.9) (7) 山口高平 :AI システムが知的社会インフラとして成長していくために つくって 使って 伝えよう, 人工知能学会誌, Vol.26,No.6,pp ( ) (8) H.Abe, S.Tsumoto, M.Ohsaki and T.Yamaguchi: Improving a Rule Evaluation Support Method Based on Objective Indices, International Journal of Advanced Intelligence Paradigms, Vol. 2, No.2/3 pp (2010) (9) Masao OKABE, Akiko YOSHIOKA, Keido KOBAYASHI, Takahira YAMAGUCHI: Organizational Knowledge Transfer Using Ontologies and a Rule-Based System, IEICE Transactions on Information and Systems, Special Section on Knowledge Based Software Engineering,Vol.E93-D, No.4, pp (2010.4) (10) 玉川奨, 桜井慎弥, 手島拓也, 森田武史, 和泉憲明, 山口高平 : 日本語 Wikipedia からの大規模オントロジー学習, 人工知能学会論文誌, 論文特集 2009 年度全国大会近未来チャレンジ,Vol. 25 No.5 pp (2010.9) (11) 岡部雅夫, 小林圭堂, 石川達也, 飯島正, 山口高平 : 知的熟練の持続的表出化支援システムの構築, 情報システム学会誌第 6 巻第 1 号, pp (2010.9) (12) 森田武史, 山口高平 : オントロジー学習の現状と動向, 人工知能学会誌,Vol.25, No.3, pp (2010.5)
4 (13) T..Yamaguchi: Future Computer Systems, Advanced Robotics; 2009, Vol. 23 Issue 11, pp , ( ) (14) 山口高平 : オントロジーに基づく業務 プロセスモデリングとシステム開発, 設計 工学,Vol.44, No.5, pp (2009.5) (15) 山川宏, 森田千絵, 山口高平 : システ ム開発論文座談会より, 人工知能学会誌, Vol.24, No.5, pp (2009.9) 学会発表 ( 計 12 件 ) (1)T.Morita, Y.Sekimoto, S.Tamagawa and T.Yamaguchi: Building up a Class Hierarchy with Properties from Japanese Wikipedia, 5th (InterOntology12),pp (February ) (2)T.Yamaguchi and S.Kobayashi: Ontology Based Humanoid Robot for Dialogue and Action with Users, 5th (InterOntology12), pp (February ) (3)S.Kobayashi, S.Tamagawa, T.Morita and T.Yamaguchi:Intelligent Humanoid Robot with Japanese Wikipedia Ontology and Robot Action Ontology, HRI2011 (6th International Conference on Human-Robot Interaction), pp (March ) (4)C. Iijima, T.Morita, Y.Enomoto, and T.Yamaguchi:A Mobility Service based on Japanese Linked Data,15th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2011), Springer LNCS6883, pp (September ) (5) T.Yamaguchi and T.Morita: Building up a Large Ontology from Wikipedia Japan with Infobox and Category Tree, 3rd Interdisciplinary Ontology Conference (InterOntology10), pp (February ) (6) Shotaro KOBAYASHI, Susumu TAMAGAWA, Takeshi MORITA, and Takahira YAMAGUCHI: Human Robot Interaction Based on Wikipedia Ontology and Robot Action Ontology, International Joint Conference on Knowledge-Based Software Engineering 2010,Kaunas University of Technology, pp (August ) (7) Tatsuya ISHIKAWA, Keido KOBAYASHI, Masao OKABE, and Takahira YAMAGUCHI: Support for Externalization of Intelligence Skill Using Ontology and Rule-based System, International Joint Conference on Knowledge-Based Software Engineering 2010, Kaunas University of Technology, pp (August ) (8) Susumu TAMAGAWA, Shinya SAKURAI, Takuya TEJIMA, Takeshi MORITA, Noriaki IZUMI, and Takahira YAMAGUCHI: Learning a Large Scale of Ontology from Japanese Wikipedia, 2010 IEEE/WIC/ACM International Conference on Web Intelligence, pp (August ) (9) Chie IIJIMA, Makito, KIMURA, and Takahira YAMAGUCHI: Implementing an Image Search System with Integrating Social Tags and DBpedia, Knowledge-Based and Intelligent Information and Engineering Systems, PART3, KES2010, Springer, LNAI6278, pp (September )
5 (10) M.Okabe, M.Yanagisawa, H.Yamazaki, K.Kobayashi, A.Yoshioka and T.Yamaguchi: Ontologies that Support Organizational Knowledge Transfer of Intelligence Skill, The 2nd (InterOntology09), pp , (Februarry ) (11) K. Kobayashi, A.Yoshioka, M.OKABE, M.Yanagisawa, H.Yamazaki and T.Yamaguchi: How much well does Organizational Knowledge Transfer work with Domain and Rule Ontologies?, 3rd Conference on Knowledge Science, Engineering and Management (KSEM2009), LNAI5914, pp (November ) (12)S.Sakurai, T.Tejima, T.Morita, N.Izumi and T.Yamaguchi: Building up a Large Ontology from Wikipedia Japan with Infobox and Category Tree,4th Asian Semantic Web Conference (ASWC 2009) (December ) 図書 ( 計 1 件 ) 1) 森田武史, 山口高平 :3 章オントロジー学習の現状と動向, オントロジーの普及と応用, 來村徳信 ( 著 ), 人工知能学会 ( 編集 ) (2012.4)( 掲載決定 ) その他 ホームページ等 6. 研究組織 (1) 研究代表者山口高平 (YAMAGUCHI,TAKAHIRA) 慶應義塾大学 理工学部 教授研究者番号 : (2) 研究分担者該当なし (3) 連携研究者該当なし
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