| Summary: | The information explosion constrains the Digital Web Ecosystem exploration and makes challenging in
retrieving relevant information and knowledge using Web search tools. The existing tools are not well
integrated, and search results are inadequately managed. In this article, we describe effective
information retrieval services for users and agents in various digital Web ecosystem scenarios. A novel
Integrated Information Retrieval Framework (IIRF) is proposed, which employs the Web search
technologies and traditional database searching techniques to provide comprehensive, dynamic,
personalized, and organization-oriented information retrieval services, ranging from the Internet,
intranet, to personal desktop. Experiments are carried out demonstrating the improvements in the
search process with an average precision of Web search results to standard 11 recall level, attaining
improvement from 41.7% of a comparable system to 65.2% of search. A 23.5% precision improvement
is achieved with the framework. The comparison made among search engines presents similar
development with satisfactory search results.
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