摘要
给出了一种基于分组的语义搜索方法-GBSS。在体系结构设计上,GBSS提出一种混和体系结构,原始数据的存储和检索采取DHT网络,元数据的存储和检索采取非结构化网络。在搜索算法上,GBSS基于当前P2P领域和复杂网络领域的基本研究结论,提出一种无描述的文件分组方法,在节点的分组之间按照搜索兴趣和共享文档关联建立朋友关系。搜索过程利用朋友关系实现搜索请求的转发,并且集成高效的缓存策略。模拟测试表明GBSS稳定高效,相对传统算法性能有数量级的提高。
A group-based semantic search method -GBSS was presented. With regard to architecture, GBSS introduced a hybrid architecture in which the storage and search of raw data was based on DHT network, but the storage and search of meta-data was based on unstructured P2P network. With regard to search algorithm, GBSS presented a file grouping method without users＇ description and constructs friend relations between nodes based on search interests and sharing files. The design idea came from some conclusions of P2P researches and complex network researches. The forwarding of user requests came use of friend relations in search process, which integrated effective caching strategy. The simulation tests prove that the GBSS algorithm is efficient, stable, and the performance improved times compared with traditional algorithms.
出处
《通信学报》
EI
CSCD
北大核心
2006年第1期21-27,共7页
Journal on Communications
基金
国家重点基础研究发展计划("973"计划)基金资助项目(2003CB314802)
国家高技术研究发展计划("863"计划)基金资助项目(2003AA142080)~~
