Design of Digital Library Data Search Engine Based on Cloud Computing in Big Data Era

Abstract

In the big data environment, people’s acquisition of knowledge is no longer limited to the contents of books, but more data information from the Internet. Intelligent search engine implements information retrieval based on knowledge level, with strong natural language understanding and knowledge processing ability, showing good personalized information service characteristics. he theory of information ecology uses the theory, viewpoint and method of ecology to study the constituent factors of information ecosystem. Excess information and meeting the needs of readers have become the main contradictions in library services. As an architecture model suitable for library application, cloud computing can integrate scattered internet information data, realize the intensification of digital libraries, and provide a new solution for building and sharing digital resources and intelligent search engines. This paper discusses the construction mode of digital library service platform based on cloud computing technology, and analyzes the application and design method of intelligent search engine of cloud service digital library under the background of big data.