Quick Acquisition of Topic-based Information/Knowledge from News Site Databases.
Hao Han · Software Engineering and Knowledge Engineering · 2011
Web news is an important resource of information/knowledge. We can analyze news to observe the difference in various topics (e.g. economy, health, and culture) and trends in the past years. However, the collection of topic-based Web news is considered as a long-period process usually. In this paper, an effective and efficient Web-based knowledge acquisition approach is proposed to extract topic-based Web news full contents from the news site databases directly. This approach is applicable to the general news sites, and the experimental results show that it can extract the topic-based Web information/knowledge from news site databases automatically, quickly and accurately.