摘要: 介绍了一种新型的全文数据库模型——互关联后继树,阐述它与其它全文数据库 模型相比在呈现非结构化信息的存储和检索中的巨大优势,并探讨了面对呈现指数增长的非 结构化的海量信息时如何提高其性能。
关键词:
互关联后继树,
全文检索,
海量存储
Abstract: This paper introduces a new full-text data base model-the inter-rel evant successive trees(IRST) , describes its huge advantages in the storage and the retrieval of the non-structural information after comparing it with other fu ll-text data base models, and researches how to improve its performance when fac ing exponential growing sponge non-structural information.
中图分类号:
马科,胡运发. 一个改进的互关联后继树数据模型[J]. , 2003, 29(21): 74-76.
MA Ke, HU Yunfa. The Improved Data Model of Inter-relevant Successive Trees[J]. , 2003, 29(21): 74-76.