- 著者
- Hiroshi Ishii Qiang Ma Masatoshi Yoshikawa
- 出版者
- Information Processing Society of Japan
- 雑誌
- Journal of Information Processing (ISSN:18826652)
- 巻号頁・発行日
- vol.20, no.1, pp.207-215, 2012 (Released:2012-01-15)
- 参考文献数
- 20
- 被引用文献数
- 1 7
We propose a novel method for the incremental construction of causal networks to clarify the relationships among news events. We propose the Topic-Event Causal (TEC) model as a causal network model and an incremental constructing method based on it. In the TEC model, a causal relation is expressed using a directed graph and a vertex representing an event. A vertex contains structured keywords consisting of topic keywords and an SVO tuple. An SVO tuple, which consists of a tuple of subject, verb and object keywords represent the details of the event. To obtain a chain of causal relations, vertices representing a similar event need to be detected. We reduce the time taken to detect them by restricting the calculation to topics using topic keywords. We detect them on a concept level. We propose an identification method that identifies the sense of the keywords and introduce three semantic distance methods to compare keywords. Our method detects vertices representing similar events more precisely than conventional methods. We carried out experiments to validate the proposed methods.
- 著者
- Qiang Ma Kondo Hiroyuki Sumiya Kazutoshi TANAKA KATSUMI
- 出版者
- 一般社団法人電子情報通信学会
- 雑誌
- 電子情報通信学会技術研究報告. DE, データ工学 (ISSN:09135685)
- 巻号頁・発行日
- vol.99, no.202, pp.63-68, 1999-07-22
Broadcast-based information dissemination systems on the Internet are becoming increasingly popular due to advances in the area of web technology and information delivery. In this paper, we propose a concept and a way to construct a virtual TV channel, which is a user-defined (virtual) channel from existing push-based Internet channels. Our virtual TV channel is (1) to filter contents of multiple push-based Internet channels, (2) to merge selected articles from different channels, and (3) to present them by a TV-program-like GUI.