Library Resource Vertical Search Engine Based on Ontology

Different from general-purpose search engines, vertical search engine only needs to collect and index only a specific knowledge domain, and then provides more professional search services for users. In this paper, we propose a novel library resource vertical search engine based on ontology technology. In the vertical search engine, the information that crawler collects from Internet should be further processed and then be indexed with high accuracy. Hence, it is very important to design an effective focused crawling algorithm in the vertical search engine. Next, we propose an effective focused crawling algorithm by three stages: 1) data preparation, 2) data training, and 3) Web page crawling. Furthermore, in our proposed focused crawler, concepts from the ontology are extracted to construct an expanded list on a topic as chosen by a learner. Finally, experimental results prove that the proposed algorithm can retrieval book resources accurately and effectively.