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Dynamic maintenance system for large-scale semantic knowledge base

A technology of semantic knowledge base and maintenance system, applied in the field of dynamic maintenance system, can solve the problem that it is difficult to find the focus of distributed ontology, and achieve the effect of reducing storage scale and optimizing efficiency

Inactive Publication Date: 2012-04-04
TIANJIN UNIV
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Problems solved by technology

In addition, in the early stage of semantic development, many standards and technologies formed a large number of heterogeneous semantic data sources. How to combine heterogeneous semantic data sources and perform query and reasoning in massive semantic data has attracted more and more attention from researchers. However, Since a large-scale semantic Web knowledge base has not yet been established, it is difficult to find a focus for research on distributed ontology

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  • Dynamic maintenance system for large-scale semantic knowledge base
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  • Dynamic maintenance system for large-scale semantic knowledge base

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Embodiment Construction

[0031] First, the present invention utilizes an ontology merging algorithm. Due to the heterogeneity of ontology data sources and the overlap of concepts, it becomes possible to find the structural association between ontologies, reduce the storage scale and optimize the efficiency of reasoning and query. The algorithm mainly finds the distance between the entities of the ontology, In this way, the description of the entity relationship is added to the merged ontology, and then the association between the ontology is established.

[0032] Second, the present invention utilizes an ontology inconsistency processing algorithm. The knowledge itself in the real open world has incompleteness and the dynamic evolution of knowledge over time, so the emergence of inconsistency is inevitable. The invention proposes an algorithm for extracting the largest consistent sub-ontology to solve these problems. The ontology in the present invention is described by OWL, a language based on desc...

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Abstract

The invention discloses a dynamic maintenance system for a large-scale semantic knowledge base. The dynamic maintenance system comprises a main server, a distributed data server and an ontology knowledge base, wherein the ontology knowledge base stores ontology which is described by using a web ontology language (OWL). The system is characterized by also comprising a global knowledge management system which is arranged on the main server and a local data management system which is arranged on the distributed data server of the system, wherein the global knowledge management system interacts with the local data management system through a knowledge bus controller by using a set of standard knowledge communication instructions. Compared with the prior art, the dynamic maintenance system forthe large-scale semantic knowledge base has the advantage that: the ontology of the large-scale semantic knowledge base is optimized, so that the storage scale is reduced, and inference efficiency and query efficiency are optimized.

Description

technical field [0001] The invention relates to network information processing technology, in particular to a dynamic maintenance system of heterogeneous semantic knowledge base based on Web2.0 network. Background technique [0002] What the present invention relates to has following several technologies: [0003] 1. The Knowledge Base of the Semantic Web [0004] The Semantic Web has been around for more than a decade. The research on Semantic Web technologies such as knowledge representation, knowledge storage and query, and knowledge reasoning has made great progress. However, compared with the traditional Web, the size of the knowledge base of the Semantic Web is still far behind. There are very few ontology knowledge bases that can be used in practice, and it is difficult to meet the needs of the Semantic Web for large-scale knowledge bases. The reason is that the construction cost and efficiency of ontology, and the management problems of ontology are the obstacles ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 饶国政贾彪冯志勇
Owner TIANJIN UNIV
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