Personal News RSS Feeds Generation Using Existing News Feeds
ICWE '9 Proceedings of the 9th International Conference on Web Engineering
Semantic search in the World News domain using automatically extracted metadata files
Knowledge-Based Systems
Improving web data annotations with spreading activation
WISE'05 Proceedings of the 6th international conference on Web Information Systems Engineering
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Over the past few years World Wide Web has established as a vital resource for news. With the continuous growth in the number of available news Web sites and the diversity in their presentation of content, there is an increasing need to organize the news related information on the Web and keep track of it. In this paper, we present automated techniques for extracting metadata instance information by organizing and mining a set of news Web sites. We develop algorithms that detect and utilize HTML regularities in the Web documents to turn them into hierarchical semantic structures encoded as XML. The tree-mining algorithms that we present identify key domain concepts and their taxonomical relationships. We also extract semi-structured concept instances annotated with their labels whenever they are available. We report experimental evaluation for the news domain to demonstrate the efficacy of our algorithms.