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Method for establishing high-efficient semantic indexing for large-amount RDF (resource description framework) data

A construction method and large-scale technology, applied in the field of RDF database, to achieve the effect of ensuring query efficiency and enriching offline reasoning

Inactive Publication Date: 2014-12-17
TIANJIN UNIV
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Problems solved by technology

However, through the research on the related storage and query work of RDF data, it is found that the query and reasoning related work of RDF data have always been separated

Method used

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  • Method for establishing high-efficient semantic indexing for large-amount RDF (resource description framework) data
  • Method for establishing high-efficient semantic indexing for large-amount RDF (resource description framework) data
  • Method for establishing high-efficient semantic indexing for large-amount RDF (resource description framework) data

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Embodiment Construction

[0025] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0026] Step 1. Configure Bigdata, an open source distributed RDF database, as a persistent database for storing RDF data;

[0027] Step 2, distinguishing TBox data and ABox data in the RDF database, so as to facilitate encoding to create semantic indexes;

[0028] Step 3. According to the ORDPath encoding rule, encode the child-parent relationship of the Class in the TBox data, reflecting the child-parent semantic relationship between classes;

[0029] Step 4. According to the ORDPath encoding rule, the child-parent relationship of the Property in the TBox data is encoded to reflect the child-parent semantic relationship between attributes;

[0030] Step 5. According to the ORDPath encoding rule, encode the domain of each Property; since in the RDF data, the domain of a Property is all Class, so the encoding for the domain is directly used for the encoding f...

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Abstract

The invention discloses a method for establishing high-efficient semantic indexing for large-amount RDF (resource description framework) data. The method comprises the following steps: step 1, configuring an open-source distributive RDF database to be used as a duration database for storing the RDF data; step 2, distinguishing TBox data and ABox data in the RDF database; step 3, generating a child-parent semantic relation indexing among categories in TBox data; step 4, generating child-parent semantic relation indexing among attributes in TBox data; step 5, incorporating the generated semantic relations into the RDF data including the original TBox data and the ABox data to form novel RDF data; step 6, persisting the novel generated RDF data into the well-configured RDF database. For inquiring and reasoning a large amount of RDF data, the novel scheme for establishing the RDF data semantic relation indexing is finally provided, so that the inquiring efficiency is guaranteed, and meanwhile rich offline reasoning can be supported.

Description

technical field [0001] The invention relates to the field of RDF databases, in particular, to the effective organization and reasoning of data in the RDF databases. Background technique [0002] With the development of the Web, it has entered the current Web 2.0 era from the initial Web 1.0 era, and is gradually entering a new stage—the Web 3.0 era, that is, the Semantic Web era. The concept of the Semantic Web was proposed by Tim Berners-Lee in the 1990s, mainly to solve the problem that computers cannot understand the meaning of documents on the network. Its main technical point is to allow computers to understand resources on the Web by marking them with corresponding semantic information. Computers can understand the resources on the network, making human-computer intercommunication a step further, so that the entire Web becomes a more easy-to-use and intelligent Web. [0003] With the development of the Semantic Web, the standardization of the semantic information of ...

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/2228G06F40/30
Inventor 魏亚洲冯志勇王鑫饶国政
Owner TIANJIN UNIV
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