Special topic issue of JASIST: Mining Web resources for enhancing information retrieval

• Publisher: John Wiley and Sons
• Year: 2005
• Tongue: English
• Weight: 30 KB
• Volume: 56
• Category: Article
• ISSN: 1532-2882
• DOI: 10.1002/asi.20231

✦ Synopsis

The amount of information on the Web has been expanding at an enormous pace. There are a variety of Web documents in different genres such as news, reports, reviews, and so on. Traditionally, the information displayed on Web sites has been static. Recently, there are many Web sites offering content that is dynamically generated and frequently updated. It is also common for Web sites to contain information in different languages since many countries adopt more than one language. Moreover, content may exist in multimedia formats including text, images, video, and audio. Although the Web contains a rich amount of valuable resources, raw Web pages are mainly designed for supporting information browsing. Intelligent text mining techniques have recently been applied to the Web environment to harvest or generate novel patterns or knowledge that can be useful in different information seeking situations. For example, one can employ a mining method to harvest terms from bilingual Web sites to discover candidates for the task of term translation in crosslingual information retrieval. Another example is to make use of text mining methods for analyzing and extracting