Abstract
In the recent years the Web has become an important medium for communication and information storage. As this trend is predicted to continue, it is necessary to provide efficient solutions for retrieving and processing information found in WWW. In this paper we present a new method for temporal web page summarization based on trend and variance analysis. In the temporal summarization web documents are treated as dynamic objects that have changing contents and characteristics. The sequential versions of a single web page are retrieved during predefined time interval for which the summary is to be constructed. The resulting summary should represent the most popular, evolving concepts which are found in web document versions. The proposed method can be also used for summarization of dynamic collections of topically related web pages.
| Original language | English |
|---|---|
| Pages (from-to) | 303-312 |
| Number of pages | 10 |
| Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Volume | 3306 |
| Publication status | Published - 2004 |
| Externally published | Yes |
ASJC Scopus subject areas
- Computer Science(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Theoretical Computer Science