Textile raw material-oriented semantic-based data search engine
A search engine and raw material technology, applied in the field of electronics and information, can solve problems such as limiting the development speed of e-commerce, information loss, and customers cannot be found quickly, and achieve the effect of overcoming fuzzy queries that do not support
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[0053] Therefore, if this specific node is targetedly indexed and provided to the user's search interface, the number of interfering result sets will be greatly reduced and the effectiveness of the search will be improved. Considering the search habits of system users and their understanding of the data, what is currently implemented in the system is to provide users with the retrieval of three specific node elements: the name of the data set, the abstract, and the responsible unit.
[0054] There are about 1,000,000 pieces of metadata of textile raw materials in China Textile Raw Materials Network. As mentioned above, according to different retrieval needs, the system can perform different indexes on metadata, and set up four entries for metadata full-text retrieval, dataset name retrieval, dataset abstract retrieval, and dataset submission unit retrieval.
[0055] Since the engine includes a Chinese analyzer, you can enter Chinese or English as query words for metadata query...
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