Abstract
ABSTRACT With the increasing number of information resources in the World Wide Web, how to retrieve real-time information is becoming very important. The resources include traditional databases, flat files, knowledge bases, topical content and programs. In this paper, we propose a new model for retrieving high-quality data from distributed Web resources over the Internet. Unlike traditional models which are web crawler-based algorithms and collect data prior to indexing, supposedly making the process going offline, the proposed algorithm embeds the crawling process with the searching process to make the process more realistic since data are collected and indexed in real-time fashion. We aim to get high-quality and refreshed results for every user’s query, as well as, for better query expansion and formulation. In our experiments, we found that the proposed approach was highly relevant for most recently searched queries, consisting in its performance and resilient to the drawbacks faced by other techniques.
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