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    • 2. 发明授权
    • Method of search content enhancement
    • 搜索内容增强方法
    • US08014997B2
    • 2011-09-06
    • US10664449
    • 2003-09-20
    • Chen-Yu HuangNoon Ju KimChien-Chiao Tu
    • Chen-Yu HuangNoon Ju KimChien-Chiao Tu
    • G06F17/28
    • G06F17/30672G06F17/2735G06F17/30722
    • Whenever a document is going to be included into the textual database, a semantic binder is used to associate the document with one or more semantic nodes which are defined in a semantic taxonomy. When a search is performed, a search application looks through a semantic dictionary (which contains a table mapping queries to nodes on the semantic taxonomy) to see whether any corresponding semantic node can be found for the searchers query. If a match is found, the search application transforms the user's query into [“original query” OR “semantic node”] so that relevant documents, even they do not contain any user's keyword, can also be found in the database. The system binds semantic nodes arranged in a hierarchical structure of the taxonomy using a Log Analyzer which periodically looks through the system log for new queries and through textual indices for documents added to the database to generate the semantic dictionary and to bind the semantic nodes to the queries in the textual indices of the documents.
    • 每当文档被包括到文本数据库中时,使用语义绑定来将文档与在语义分类法中定义的一个或多个语义节点相关联。 当执行搜索时,搜索应用程序通过语义字典(其包含将查询映射到语义分类学上的节点)来查看是否可以为搜索者查询找到任何相应的语义节点。 如果找到匹配项,搜索应用程序会将用户的查询转换为[“原始查询”或“语义节点”],以便在数据库中也可以找到相关文档,即使不包含任何用户的关键字。 系统使用Log Analyzer来分类排列在分类结构中的语义节点,Log Analyzer定期查看系统日志中的新查询,并通过文本索引添加到数据库中生成语义字典并将语义节点绑定到 查询文件的文本索引。
    • 5. 发明申请
    • Method of search content enhancement
    • 搜索内容增强方法
    • US20050065773A1
    • 2005-03-24
    • US10664449
    • 2003-09-20
    • Chen-Yu HuangNoon KimChien-Chiao Tu
    • Chen-Yu HuangNoon KimChien-Chiao Tu
    • G06F17/27G06F17/30G06F17/28
    • G06F17/30672G06F17/2735G06F17/30722
    • Whenever a document is going to be included into the textual database, a semantic binder is used to associate the document with one or more semantic nodes which are defined in a semantic taxonomy. When a search is performed, a search application looks through a semantic dictionary (which contains a table mapping queries to nodes on the semantic taxonomy) to see whether any corresponding semantic node can be found for the searchers query. If a match is found, the search application transforms the user's query into [“original query” OR “semantic node”] so that relevant documents, even they do not contain any user's keyword, can also be found in the database. The system binds semantic nodes arranged in a hierarchical structure of the taxonomy using a Log Analyzer which periodically looks through the system log for new queries and through textual indices for documents added to the database to generate the semantic dictionary and to bind the semantic nodes to the queries in the textual indices of the documents.
    • 每当文档被包括到文本数据库中时,使用语义绑定来将文档与在语义分类法中定义的一个或多个语义节点相关联。 当执行搜索时,搜索应用程序通过语义字典(其包含将查询映射到语义分类学上的节点)来查看是否可以为搜索者查询找到任何相应的语义节点。 如果找到匹配项,搜索应用程序会将用户的查询转换为[“原始查询”或“语义节点”],以便在数据库中也可以找到相关文档,即使不包含任何用户的关键字。 系统使用Log Analyzer来分类排列在分类结构中的语义节点,Log Analyzer定期查看系统日志中的新查询,并通过文本索引添加到数据库中生成语义字典并将语义节点绑定到 查询文件的文本索引。