A Yellow Page Information Retrieval System Based on Sorted Duality Interrelevant Successive Tree and Industry Ontology

This paper analyses the theory of information retrieval relativity and proposes establishing a content-based industry information retrieval system based on ontology. The system can accomplish the mapping between retrieval results and pragmatics relativity in some degree and bring more convenience to users when querying, which embodies the user- oriented principle. This retrieval system uses a novel retrieval model called sorted duality inter-relevant successive tree to index the contents of yellow page data to improve the retrieval efficiency. The experiment shows that this system is successful and has a better precision and recall of retrieval.