The Design Of Intelligent Search Engine Software Architecture And Research On Key Technology

The development of big data application system is in full swing.They achievedata from the Internet and Internet of Things, refine data into information andknowledge to meet the demands of all types of users. The search function of webpages, perception data set, data sets, all kinds of structured data, semantic data is abasic function of all application system.Crawling, extraction, indexing is the key stepof this function. This paper surrounds the above points to do the following work:1. This paper designs software architecture of the intelligent search engine.Reference to the design method of traditional search engine model, analysis intelligentdomain application, build role model, business model, domain model, etc. And thendesign key componets including entity component, task management component,platform management component.2. An effective method of information extraction based on ontology is proposed,introducing maximum entropy model to the study of learning ontology instances fromfree texts.3、Develop the prototype system of intelligent search engine based on publicsafety domain.As the Internet and Internet of Things bringing a huge amounts of data, this paperdesigns software architecture of search engine to meet a variety of demands of domainusers, integrates heterogeneous data, improves effect of search service and supportdomain applications.