A method for automatically generating sparql query statements based on keyword context

A query statement, automatically generated technology, applied in the database field
CN107992608BInactive Publication Date: 2021-07-02NANKAI UNIV
5 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANKAI UNIV
Publication Date
2021-07-02
Estimated Expiration
Not applicable · inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

A method for automatically generating SPARQL query statements based on keyword context belongs to the field of database technology applications. Including: using the mapping method from RDF data to tag graph, and summarizing the RDF tag graph based on the entity type and the relationship between entities; constructing a two-layer keyword index containing the position information of nodes in the RDF tag graph; using the keyword index Map the keyword entered by the user to the node in the RDF tag graph, and use the backward search algorithm to find the subgraph containing the keyword in the RDF schema graph; finally, score and sort the results based on the correlation between the subgraph and the user's query intention, Convert the high-scoring results into SPARQL query statements. The method for automatically generating SPARQL query statements proposed by the present invention can accurately and efficiently generate SPARQL query statements that meet user query intentions according to keywords, thereby achieving the purpose of helping users quickly query information.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention belongs to the technical field of databases, and in particular relates to a novel SPARQL query statement automatic generation technology. Background technique

[0002] With the development of Semantic Web technology, knowledge is described in the form of RDF in various fields, and RDF data doubles, and massive data is available for people to use. As a structured query statement for RDF data, SPARQL can query the knowledge in RDF data, and achieve high query efficiency with the help of database query optimization and other strategies. However, understanding the RDF data schema and SPARQL syntax is the basis for constructing query statements, and the schema of RDF data is usually very complex. Therefore, it is very difficult for ordinary users to construct SPARQL query statements, making it impossible for people to easily obtain knowledge from massive data. , resulting in the inability of RDF data to provide users with convenient knowledge...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More