公开(公告)号：US20160342628A1

公开(公告)日：2016-11-24

申请号：US14718411

申请日：2015-05-21

Applicant: Oracle International Corporation

Inventor： Oskar Van Rest ,  Raghavan Raman ,  Sungpack Hong ,  Hassan Chafi

IPC: G06F17/30

CPC classification number: G06F16/835 ,  G06F16/832

Abstract: Techniques herein are for query editing with semantic analysis of a query based on information extracted from a tuple graph. In an embodiment, a computerized method involves processing a dataset to extract an extracted schema that describes types and relationships that occur within the dataset. The dataset is not associated with a schema that is not contained in the dataset. The dataset has a graph of tuples. During an incremental parse, an abstract syntax tree (AST) that represents a query is modified. The extracted schema and the dataset are used to perform semantic analysis on the AST. In an embodiment, the tuples are resource description framework (RDF) triples. In an embodiment, the RDF triples include RDF schema statements. Extracting an extracted schema involves processing RDF schema statements. In an embodiment, the query is a SPARQL query and semantic analysis includes error alerting and code completion.

Abstract translation: 本文中的技术用于基于从元组图提取的信息对查询进行语义分析的查询编辑。 在一个实施例中，计算机化方法涉及处理数据集以提取描述在数据集内发生的类型和关系的提取的模式。 数据集不与数据集中不包含的模式相关联。 数据集有一个元组图。 在增量解析过程中，修改了一个表示查询的抽象语法树（AST）。 提取的模式和数据集用于对AST执行语义分析。 在一个实施例中，元组是资源描述框架（RDF）三元组。 在一个实施例中，RDF三元组包括RDF模式语句。 提取提取的模式涉及处理RDF模式语句。 在一个实施例中，查询是SPARQL查询，语义分析包括错误警报和代码完成。