In order to improve the quality of web search,a new query expansion method by choosing meaningful structure data from a domain database is proposed.It categories attributes into three different classes,named as concep...In order to improve the quality of web search,a new query expansion method by choosing meaningful structure data from a domain database is proposed.It categories attributes into three different classes,named as concept attribute,context attribute and meaningless attribute,according to their semantic features which are document frequency features and distinguishing capability features.It also defines the semantic relevance between two attributes when they have correlations in the database.Then it proposes trie-bitmap structure and pair pointer tables to implement efficient algorithms for discovering attribute semantic feature and detecting their semantic relevances.By using semantic attributes and their semantic relevances,expansion words can be generated and embedded into a vector space model with interpolation parameters.The experiments use an IMDB movie database and real texts collections to evaluate the proposed method by comparing its performance with a classical vector space model.The results show that the proposed method can improve text search efficiently and also improve both semantic features and semantic relevances with good separation capabilities.展开更多
Computers&SecurityAprili 2010A framework for security assurance of access control enforcenent code一个访问控制执行码的安全保障框架This paper proposes a security assurance mechanism that formalizes the application ...Computers&SecurityAprili 2010A framework for security assurance of access control enforcenent code一个访问控制执行码的安全保障框架This paper proposes a security assurance mechanism that formalizes the application behavior using labeled transition systems and structural operational semantics.文章提出了一个安全保障机制,它使用标签转移系统和结构化操作语义,形式化描述应用行为。展开更多
基金Program for New Century Excellent Talents in University(No.NCET-06-0290)the National Natural Science Foundation of China(No.60503036)the Fok Ying Tong Education Foundation Award(No.104027)
文摘In order to improve the quality of web search,a new query expansion method by choosing meaningful structure data from a domain database is proposed.It categories attributes into three different classes,named as concept attribute,context attribute and meaningless attribute,according to their semantic features which are document frequency features and distinguishing capability features.It also defines the semantic relevance between two attributes when they have correlations in the database.Then it proposes trie-bitmap structure and pair pointer tables to implement efficient algorithms for discovering attribute semantic feature and detecting their semantic relevances.By using semantic attributes and their semantic relevances,expansion words can be generated and embedded into a vector space model with interpolation parameters.The experiments use an IMDB movie database and real texts collections to evaluate the proposed method by comparing its performance with a classical vector space model.The results show that the proposed method can improve text search efficiently and also improve both semantic features and semantic relevances with good separation capabilities.
文摘Computers&SecurityAprili 2010A framework for security assurance of access control enforcenent code一个访问控制执行码的安全保障框架This paper proposes a security assurance mechanism that formalizes the application behavior using labeled transition systems and structural operational semantics.文章提出了一个安全保障机制,它使用标签转移系统和结构化操作语义,形式化描述应用行为。
