The information explosion makes the digital Web ecosystem exploration, as a valid web search tool challenging for retrieving relevant information and knowledge. The existing tools are not integrated, and search results are not well managed. In this article, we describe effective information retrieval services for users and agents in various digital 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 a similar development with satisfactory search results.
Dengya, Zhu; Nimmagadda, Shastri; and Reiners, Torsten, "An Integrated Information Retrieval Framework for Managing the Digital Web Ecosystem" (2018). ACIS 2018 Proceedings. 1.