Title: InfoSift: Adapting Graph Mining Techniques for Document Classification
Abstract:
The goal of the iGreen project is to realize a distributed network of location-based services and knowledge sources, i.e. enabling the integration of decentralized, highly heterogeneous public/private information sources. iGreen also aims to provide a framework for the development of mobile decision support systems. These systems use the iGreen network to support and optimize energy efficient, ecological, environmentally friendly collaborative production processes. Possible domains of application that could benefit of the decision support processes provided by iGreen are for example agriculture, forestry, water management, landscaping, environmental and nature conservation. Since crop production is mostly driven by spatial-temporal information, it was chosen as the first showcase to demonstrate how iGreen can enable mobile decision support systems to access highly heterogeneous information sources. For example, the system can use spatial information, such as public geo-data, domain specific knowledge and private user data to deliver real-time, on site, personal and efficient support. In my talk I give insights into the application domain of knowledge management in agriculture, propose an approach to overcome the existing weaknesses and present recent results from the project.
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日本データベース学会理事
ACM SIGMOD日本支部 支部長 川越 恭二
電子情報通信学会データ工学研究会委員長
中野 美由紀
連絡(問合せ)先 日本データベース学会、
ACM SIGMOD 日本支部
sigmodj_lecture (AT) tkl.iis.u-tokyo.ac.jp
http://www.dbsj.org/
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