Topic-based Story Archival and Search

Abstract

Preserving News Stories from Web may helpful and important because of various reasons. They provide information about any event and incident which happened in the past. Keeping the stories may be important because of various reasons including cultural heritage, evidence of activities and scientific and historical reasons. However, the stories may be lost because of the constant change of the environment and the technologies used to present and publish. Certain individuals or institutes may be interested to collect information related to specific topic or event. The idea came from various research papers to overcome the need by capturing the stories which are relevant to the topic. Information is provided to the system through a list of keywords. The tool automatically collects all the stories from the provided sources by calculating a score of similarity between the story and keywords. The tool has the functionality of searching the already downloaded stories. Users may search stories by entering keywords which are automatically processed and all the relevant stories are retrieved from the archive. Users may then choose to open and read details about a story of their choice.