@techreport{oai:ipsj.ixsq.nii.ac.jp:00107235,
 author = {村上, 千明 and 穴田, 浩一 and 夜久, 竹夫 and 森本, 康彦 and 中村, 勝一 and 神長, 裕明 and 宮寺, 庸造 and Chiaki, Murakami and Koichi, Anada and Takeo, Yaku and Yasuhiko, Morimoto and Shoichi, Nakamura and Hiroaki, Kaminaga and Youzou, Miyadera},
 issue = {7},
 month = {Dec},
 note = {大学研究室での研究支援における情報共有では，文書だけでなくそれぞれの文書が発生した研究活動の経緯や文書間の関係を表す文脈情報も重要であり，これらをシステム上で視覚的に共有管理することが有効である．ワークフローではルール化することで文脈情報も含めた情報蓄積を行っているため利用者の負担軽減が実現できているが，研究活動は分野や研究者により多様なため，従来のワークフローでは適切な情報蓄積ができないという問題点がある．一方共有面では，一般に制約のもとでのグラフ描画は計算量が大きくなることがあるため，研究情報の視覚化に対するシステム要件は，ストレスなく現実的な時間で情報を描画できることである．以上の問題点を解決するために本研究では属性グラフ文法を導入した研究情報蓄積・共有手法を開発する．具体的には，研究情報関係グラフ (RIRG) を新たに導入し，この RIRG を属性グラフ文法のプロダクションにより生成することで，多様な研究活動に対応しつつ，蓄積作業の負担軽減が期待でき，蓄積面の問題点を解決する．また，属性グラフ文法の意味規則を用いることで，RIRG の効率的な描画が期待でき，共有面の問題点を解決する．, In order to efficiently share research information on research supports, in a university laboratory, not only the research documents but also context information is important. The context information shows details of research activities where each document is generated and the relation between documents. Therefore, to visually share and to visually manage this information on a system is effective. In the case of workflow, because research information including context information has been collected by making rules, the user's burden will be reduced. However, because research activities are various according to the field and the researchers, there is a problem that the relevant information cannot be collected by the existing workflow. On the other hand, research information sharing, in general, is difficult because of the time complexity of graph drawing on constraints is large. Therefore, the system requirement for visualizing research information is to draw it in time without stress. To solve these problems, this study has developed the research information collecting and sharing methods based on the attribute graph grammar. Concretely, at first, the research information related graph (RIRG) has been newly introduced. By generating the RIRG with the production of the attribute graph grammar, the burden reduction of the collection work, corresponding to various research activities, can be expected. Then, the problem on the collecting side is solved. Moreover, an efficient drawing of RIRG can be expected by using the semantic rule of the attribute graph grammar. Then, the problem on the sharing side is solved.},
 title = {属性グラフ文法に基づく研究情報の蓄積・共有支援手法},
 year = {2014}
}