面向科技文献多维语义组织的混合倒排索引构建方法OACHSSCDCSTPCD

[Purpose/Significance]In order to meet the urgent needs of researchers for efficient querying of fine-grained semantic information within scientific and technological literature,previous studies have proposed a multidimension-al semantic indexing system for scientific and technological literature,however,the common inverted indexes based on HashMap lead to inefficient querying.This paper aims to improve the semantic query performance by establishing hybrid in-verted indexes for different dimensional semantic features.[Method/Process]This paper explored the inverted index con-struction methods suitable for different semantic dimensions with Treap,B+tree and other data structures,and combined them to form a variety of hybrid inverted index construction methods suitable for multidimensional semantic organization of scientific and technological literature,and analyzed and verified the query performance of the different types of inverted in-dex construction methods under the conditions of Top-k query and Boolean query through comparative experiments.[Re-sult/Conclusion]The experimental results show that among the eight hybrid inverted index construction methods formed by the combination,C3(HHHB)shown in Table 2 is proved to have the highest efficiency under the condition of Top-k que-ry,while C4(TTTB)is proved to be the most efficient under the condition of Boolean query.The method in this paper can effectively solve the query efficiency problem caused by a single index structure.