A Multi-semantic Search Engine For Traditional Chinese Medicine

With the rapid development of the World Wide Web and the popularization of the information technology in various fields of science, the presentation of the data in the same scientific field between the different agencies have shown different characteristics, data sharing and integration become the problem of effective use of resources. For fast and accurate access to specific areas of scientific data, field-oriented search engine came into being. According to this demand, we present a multi-semantic search engine for Traditional Chinese Medicine based on DartSearch and DartQuery in our lab. This paper describes the design and implementation of the system.First, the paper briefly reviews the current status of the search engine technology and the problems it faces, then we introduce the DartSearch and DartQuery developed by our lab and analyzes the existing problems. Full-text search technology, search results ranking mechanism and the development of open source search engine status will be introduced, as well as Lucene and Nutch which we used in the syste.This paper focuses mainly in the following three aspects. First, the overall design of search engine was proposed, and the modules of the system, architecture and the technology will be detailed introduced. Then, multi-semantic index method is introduced, which is compatible with enough flexibility to add new data types later. Finally, the ranking algorithm based on ontology is proposed, which not only considered the importance of ontology, but also evaluate the match of user queries and the results. This approach is consistent.with user expectations of search results, with good practical results.At last, we will display the search engine, brief analysis the future problem and the development directions of the system.