Towards a Next-Generation Search Engine

As more information becomes available on the World Wide Web, it has become an acute problem to provide effective search tools for information access. Previous generations of search engines are mainly keyword-based and cannot satisfy many informational needs of their users. Search based on simple keywords returns many irrelevant documents that can easily swamp the user. In this paper, we describe the system architecture of a next-generation search engine that we have built with a goal to provide accurate search result on frequently asked concepts. Our key differentiating factors from other search engines are natural language user interface, accurate search results, and interactive user interface and multimedia content retrieval. We describe the architecture, design goals and experience in developing the search engine.

• Type: Conference
• Year: 2000
• Where: PRICAI
• Authors: Qiang Yang, Hai-Feng Wang, Ji-Rong Wen, Gao Zhang, Ye Lu, Kai-Fu Lee, HongJiang Zhang
• Keywords: Artificial Intelligence, Effective Search Tools, Natural Language User Interface, PRICAI 2000, Search Engine