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    • 2. 发明授权
    • Index-only tables with nested group keys
    • 具有嵌套组密钥的仅索引表
    • US5852822A
    • 1998-12-22
    • US764112
    • 1996-12-09
    • Jagannathan SrinivasanSamuel DeFazioJayanta BanerjeeChuck FreiwaldSouripriya Das
    • Jagannathan SrinivasanSamuel DeFazioJayanta BanerjeeChuck FreiwaldSouripriya Das
    • G06F17/30G06F17/00
    • G06F17/30327Y10S707/99933Y10S707/99934Y10S707/99936Y10S707/99952
    • A method and apparatus for building, maintaining, and using a multi-level index is provided. The multi-level index is accessed using a key. The key is divided into multiple portions referred to as sub-keys. The first level of the multi-level index is built on a first-level sub-key. Each index entry at the first-level is for a particular first-level sub-key value, and either includes sub-entries associated with second-level sub-key values or a reference to a second-level data retrieval structure. All second-level data retrieval structures are built on the portion of the key that has been designated as the second-level sub-key. As the vocabulary of the first-level sub-key becomes exhausted, fewer maintenance operations will have to be performed to maintain the first-level data retrieval structure. This decreases the overhead and increases the concurrency in a database system that uses the multiple-level index. The multi-level index structure is especially suited for queries that retrieve all values for a given first-level sub-key. The structure also has reduced storage costs compared to a single-level index structure, since first-level sub-key values are stored only once for each nested group.
    • 提供了一种用于构建,维护和使用多级索引的方法和装置。 使用密钥访问多级索引。 密钥分为多个部分,称为子密钥。 多级索引的第一级建立在一级子密钥上。 第一级的每个索引条目用于特定的一级子密钥值,并且包括与二级子密钥值相关联的子条目或对二级数据检索结构的引用。 所有二级数据检索结构都建立在已被指定为二级子密钥的密钥部分上。 由于第一级子密钥的词汇量已经耗尽,因此维护第一级数据检索结构将不得不执行较少的维护操作。 这降低了开销,并增加了使用多级索引的数据库系统中的并发性。 多级索引结构特别适用于检索给定一级子密钥的所有值的查询。 与单级索引结构相比,结构也降低了存储成本,因为对于每个嵌套组,一级子键值只存储一次。
    • 3. 发明授权
    • Normalized ranking of semantic query search results
    • 语义查询搜索结果的归一化排序
    • US09229930B2
    • 2016-01-05
    • US13595125
    • 2012-08-27
    • Seema SundaraMatthew Steven PerrySouripriya DasJagannathan Srinivasan
    • Seema SundaraMatthew Steven PerrySouripriya DasJagannathan Srinivasan
    • G06F17/30
    • G06F17/30G06F17/30731G06F17/30958
    • A method, system, and computer program product for normalized ranking of semantic query search results. The method commences by forming a SPARQL query, the SPARQL query specifying a collection of named RDF graphs, then executing the SPARQL query to retrieve matched documents selected from the collection of named RDF graphs. Having retrieved the matches, the method calculates an absolute normalized score for the matched document. The calculation of an absolute normalized score for a second matched document allows for relevance ranking. To enhance the relationship of the computer-calculated score to the relevance (and not solely to occurrence counts) embodiments consider the number of distinct variables selected in the SPARQL query, and also consider the total number of bindings to the aforementioned variables. For comparing from among possibly different sized documents, a further normalization component is implemented by considering the total number of triples found in the document's underlying subgraph.
    • 一种用于语义查询搜索结果的归一化排序的方法,系统和计算机程序产品。 该方法通过形成SPARQL查询,SPARQL查询指定一个命名RDF图的集合,然后执行SPARQL查询来检索从命名RDF图的集合中选择的匹配文档。 检索到匹配后,该方法计算匹配文档的绝对归一化分数。 对于第二匹配文档的绝对归一化分数的计算允许相关性排名。 为了增强计算机计算的分数与相关性(而不仅仅是出现次数)的关系,实施例考虑在SPARQL查询中选择的不同变量的数量,并且还考虑与上述变量的绑定的总数。 为了从可能不同大小的文档中进行比较,通过考虑文档底层子图中发现的三元组的总数来实现进一步的标准化组件。
    • 5. 发明授权
    • Rewriting table functions as SQL strings
    • 重写表函数作为SQL字符串
    • US07680862B2
    • 2010-03-16
    • US11108242
    • 2005-04-18
    • Eugene Inseok ChongSouripriya DasGeorge EadonJagannathan Srinivasan
    • Eugene Inseok ChongSouripriya DasGeorge EadonJagannathan Srinivasan
    • G06F7/00
    • G06F17/30448
    • The TABLE function mechanism available in a RDBMS is used to integrate RDF models into SQL queries. The table function invocation takes parameters including an RDF pattern, an RDF model, and an RDF rule base and returns result rows to the SQL query that contain RDF triples resulting from the application of the pattern to the triples of the model and the triples inferred by applying the rule base to the model. The RDBMS includes relational representations of the triples and the rules. Optimizations include indexes and materialized views of the representations of the triples, precomputed inferred triples, and a method associated with the TABLE function that rewrites the part of the SQL query that contains the TABLE function invocation as an equivalent SQL string. The latter technique is generally applicable to TABLE functions.
    • RDBMS中可用的TABLE函数机制用于将RDF模型集成到SQL查询中。 表函数调用采用包括RDF模式,RDF模型和RDF规则库的参数,并将结果行返回给包含由模式应用到模型三元组的RDF三元组的SQL查询,以及三维模型推断出的三元组 将规则库应用于模型。 RDBMS包括三元组和规则的关系表示。 优化包括三元组表示的索引和物化视图,预先计算的推断三元组,以及与TABLE函数相关联的方法,将包含TABLE函数调用的SQL查询的一部分重写为等效的SQL字符串。 后一种技术通常适用于TABLE函数。
    • 10. 发明申请
    • Rewriting table functions as SQL strings
    • 重写表函数作为SQL字符串
    • US20060235837A1
    • 2006-10-19
    • US11108242
    • 2005-04-18
    • Eugene ChongSouripriya DasGeorge EadonJagannathan Srinivasan
    • Eugene ChongSouripriya DasGeorge EadonJagannathan Srinivasan
    • G06F17/30
    • G06F17/30448
    • The TABLE function mechanism available in a RDBMS is used to integrate RDF models into SQL queries. The table function invocation takes parameters including an RDF pattern, an RDF model, and an RDF rule base and returns result rows to the SQL query that contain RDF triples resulting from the application of the pattern to the triples of the model and the triples inferred by applying the rule base to the model. The RDBMS includes relational representations of the triples and the rules. Optimizations include indexes and materialized views of the representations of the triples, precomputed inferred triples, and a method associated with the TABLE function that rewrites the part of the SQL query that contains the TABLE function invocation as an equivalent SQL string. The latter technique is generally applicable to TABLE functions.
    • RDBMS中可用的TABLE函数机制用于将RDF模型集成到SQL查询中。 表函数调用采用包括RDF模式,RDF模型和RDF规则库的参数,并将结果行返回给包含由模式应用到模型三元组的RDF三元组的SQL查询,以及三维模型推断出的三元组 将规则库应用于模型。 RDBMS包括三元组和规则的关系表示。 优化包括三元组表示的索引和物化视图,预先计算的推断三元组,以及与TABLE函数相关联的方法,将包含TABLE函数调用的SQL查询的一部分重写为等效的SQL字符串。 后一种技术通常适用于TABLE函数。