Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A sparql query statement generation system based on ontology content

A query statement generation and query statement technology is applied in the field of data query to achieve the effects of reducing query difficulty, facilitating expansion, and facilitating query intent

Inactive Publication Date: 2017-09-12
ZHEJIANG UNIV
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As we know, traditional search engines can efficiently index hundreds of millions of document sets, and at the same time quickly respond to user-provided query retrieval. However, the problem is that the retrieval process of search engines is also completely Matching, while the retrieved documents have a large amount of content, this scenario is different from the current dilemma where fuzzy string matching is required and URI strings are mostly short

Method used

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
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A sparql query statement generation system based on ontology content
  • A sparql query statement generation system based on ontology content
  • A sparql query statement generation system based on ontology content

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0031] Such as figure 1 As shown, the system that the present invention generates based on the SPARQL query statement of the ontology library content includes an online response module and an offline preprocessing module, wherein the online module is composed of a client user interface and a server analysis and generation query interface, and the offline preprocessing module mainly includes Data cleaning component and string retrieval component; the client is an editing interface built with d3.js visual display technology, and the server uses JavaServlet technology, including a string conversion module, a Top-K similar string retrieval The selection of the corresponding graph node-edge string description, based on the syntax of SPARQL, is converted into t...

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

PUM

No PUM Login to View More

Abstract

The invention discloses a SPARQL inquire statement generating system based on ontology library content; the system is based on d3.js visualization technology and the concept of indexing the URI of the ontology library, establishes a query graph by a foreground user using a graph drawing component provided by the system, and gives a tag in natural language for each component, responds to each newly established component at the background in real time, and indexes URIs of Top-K matched component tags from the indexed URIs, hands over the URIs to the user for selecting the URI which is best matched with the user's query intention, and provides user customized query limitations at the same time, thereby finally generating the SPARQL inquire statement automatically for querying the RDF database, thus providing great convenience for users not familiar to the Schema of the ontology library or not understand the SPARQL syntax to query the database.

Description

technical field [0001] The invention belongs to the technical field of data query, and in particular relates to a SPARQL (SimpleProtocol and RDF Query Language, RDF query language protocol) query statement generation system based on ontology database content. Background technique [0002] With the development of science and technology, the explosive growth of information makes it extremely difficult to obtain the required knowledge in the traditional way. Users often need to browse repeated information or junk information to get satisfactory answers. Semantic network is a description concept. The form of knowledge representation that is semantically associated with concepts can provide semantic association that can be understood by machines, so that machines can replace manual labor, perform simple and complex knowledge extraction, and easy-to-understand visual display. The current semantic web technology is developing vigorously. The W3C (World Wide Web Consortium) working ...

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

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F16/245G06F16/24534
Inventor 王东辉熊逵李亚南蔺越檀孙欢黄鹏程洪高峰徐灿梁建增庄越挺
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com