A Computational Model of Tonality Cognition Based on Prime Factor Representation of Frequency Ratios and Its Application

(Abstract to follow

ケンゲンセイ ニ モトズク ダンワ ブンミャク ノ モデルカ

京都大学0048新制・課程博士博士(情報学)甲第13973号情博第288号新制||情||57(附属図書館)UT51-2008-C889京都大学大学院情報学研究科知能情報学専攻(主査)教授 奥乃 博, 教授 河原 達也, 教授 黒橋 禎夫学位規則第4条第1項該当Doctor of InformaticsKyoto UniversityDA

Discourse Analysis of Public Debates Using Corpus Linguistic Methodologies

The aim of this study is to develop a computational method of discourse analysis based on corpus semantics. The objective is to achieve an accurate understanding of the debate content and structure through hypotheses generation. As for verifying the hypotheses, the topic extraction and semantic similarity evaluation from the public debate minute corpus is examined by using a multimethod which includes TFIDF, T-VSM, and MDS. The main issue of public debate and the inconsistency level between participants’ utterance could be described by using the method. The methodology presented in this study is applied to a case example. Finally, the applicability of the proposed methodology to practical debates is discussed

A Goal Matching Service for Facilitating Public Collaboration Using Linked Open Data

Part 4: Software Platforms and EvaluationInternational audienceInter-organizational collaboration in the public sphere is essentially important to address sustainability problems in contemporary regional societies. To facilitate public collaboration, we are developing a Web application for sharing public issues and their solutions as public goals. Since participating in abstract or general goals is more difficult than concrete or specific ones, our system provides a functionality to break down individual public goals into concrete subgoals. Our Web application, GoalShare, is based on a linked open dataset of public goals that are linked with titles, participants, subgoals, related issues, related articles, and related geographic regions. GoalShare recommends public goals and users on the basis of similarity calculations taking into account not only surficial and semantic features but also contextual features extracted from subgoals and supergoals. We conducted experiments to investigate the effects of contextual features in subgoals and supergoals. Moreover, we conducted a trial workshop with GoalShare in Ogaki city to improve system design through actual use

Towards Continuous Collaboration on Civic Tech Projects: Use Cases of a Goal Sharing System Based on Linked Open Data

Part 2: Deliberation and ConsultationInternational audienceCivic hackathon is a participatory event for prototyping of innovative services through collaboration between citizens and engineers towards addressing social issues. Although continuous contributions are needed for improving the prototypes and for applying them to social issues, participants frequently stop contributions after the hackathon due to their day job. To address this problem, we applied our Web system, called GoalShare, which gathers linked open data (LOD) of hierarchical goals to address social issues, to civic hackathons held in the city of Nagoya in Japan. We compared goal structures between two situations. The results showed that goal structures input by team members themselves with enough instruction time were relatively detailed but varied widely among teams, and those input by a single GoalShare user with limited time remained at a simple overview level but had uniform level of detail. A more user-friendly interface usable without instruction is required for real-world situations