| 摘要 |
The present invention provides a relation mining apparatus and method for mining data for time-series relations and events among texts in various forms such as news, blogs, industrial reports and technical papers which may refer to various relations. According to the present invention, it is possible to automatically extract entity relation instances from a large amount of the texts as described above originating from the Internet or other mediums, mine for time-series entity relations, relation scores and entity importances in various categories based on the extracted instances, and finally extract important events therefrom. Also, according to the present invention, it is possible to perform calculating on the above extracted time-series relations for the corporation entities and business relations, so as to achieve an analysis on Five Forces. Further, it is also possible to present the result to final users by a visualizing module.
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