Body correlation method based on SWRL-Bridge-Peer model

A ontology and model technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as heavy query load and inability to associate with the outside world

Inactive Publication Date: 2009-03-11
SUN YAT SEN UNIV
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Problems solved by technology

However, in this method, each query in the cluster must go through the super-peer, making the query load of the super-peer very heavy, and it is easy to become the bottleneck of the system; when the super-peer fails, the client node it is connected to will become an orphan Node, unable to associate with the outside world

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  • Body correlation method based on SWRL-Bridge-Peer model
  • Body correlation method based on SWRL-Bridge-Peer model
  • Body correlation method based on SWRL-Bridge-Peer model

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Embodiment Construction

[0109] The extension of SWRL rule semantics is not achieved by changing the syntax and semantic definition of existing SWRL. In practical applications, when wanting to express the logical negation of class predicates, the author of the SWRL rule cannot introduce in the writing of the SWRL rule Symbols are replaced by the following notation symbol:

[0110] When it is necessary to express the logical NOT operation on the class predicate A(?x),

[0111] 1. Create an auxiliary class Not_Class in the OWL file

[0112] 2. Create a subclass Not_A of the class Not_Class, and write the first item of the remarks of this class provided by OWL as class "A" to replace " A(?x)".

[0113] 3. When the class predicate Not_A(?x) is analyzed, it is judged that the class Not_A in the class predicate is a subclass of the class Not_Class. Read the first item class "A" in the class Not_A remarks, and follow the The semantics of A(?x) process SWRL rules.

[0114] Likewise, writers of SWRL...

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Abstract

The invention applies an ontology-based association method based on an expanded SWRL rule and also expands the method by a way that the single association is expanded to the mixed association as well as the attribute association, which perfects the ontology-based association method based on the expanded SWRL rule. Meanwhile, the invention applies a Bridge-Peer-based model to carry out the ontology-based association. The method of the invention mainly divides the ontology with high degree of association in semantics into a cluster and the ontology which has low or no degree of association in semantics is in different clusters. The ontology in the cluster can be associated through the expanded SWRL rule while the ontology between the clusters is associated through a bridge-peer node. In addition, the model solves a bottleneck problem when in the inquiry of association. The invention preserves the advantages of the ontology-based association method based on the expanded SWRL rule and the ontology-based association method based on a super-peer model and also covers the shortage of the two methods so as to ensure a new model with better robustness and broader application scope.

Description

technical field [0001] The invention relates to the field of ontology association and mapping, in particular to a method for realizing association between ontology based on SWRL-Bridge-Peer model. Background technique [0002] An ontology is an explicit, formalized, and shareable specification of a conceptual system. The outstanding feature of ontology is that it can standardize the concepts and terminology of one or more specific fields, realize a shared concept system for this field or between fields, and finally help realize the practical application of these fields. [0003] Building domain ontology for Semantic Web is still a difficult and time-consuming task at present, which requires the reuse of existing ontology, and the reuse of ontology requires ontology association mapping. Ontology association means that there is a semantic association between two ontologies on classes or attributes, through which the entities (classes or attributes) of the source ontology are ...

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Application Information

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IPC IPC(8): G06F17/30
Inventor 王若梅王众彭丽仪刘林
Owner SUN YAT SEN UNIV
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