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Task immigration-orientated component semantic matching method

A semantic matching and component technology, applied in the field of component matching, can solve the problems of high user participation, low matching accuracy, and poor scalability.

Active Publication Date: 2010-12-29
ZHEJIANG UNIV
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AI Technical Summary

Problems solved by technology

The traditional component matching algorithm is based on template matching. The limitations of this matching method are low matching accuracy and poor scalability. Obviously, it cannot meet the component selection in the actual task migration process.
The existing component semantic matching algorithm adopts the component selection mechanism based on the task model. Although this method has a good matching accuracy rate, the user participation is high.

Method used

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  • Task immigration-orientated component semantic matching method
  • Task immigration-orientated component semantic matching method
  • Task immigration-orientated component semantic matching method

Examples

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Embodiment Construction

[0066] The steps of the present invention are as figure 1 shown.

[0067] (1) Use ontology network language OWL to describe tasks, components, and equipment semantically:

[0068] Use the ontology construction tool protégé to construct the semantic ontology, where the task ontology structure is as follows figure 2 , which is described by functional requirements, service quality requirements, and task running status. Functional requirements are described by function types, input resource types, and output resource types; service quality requirements are composed of four parts, namely performance, security, cost, and reliability. , in each quality of service part can also be subdivided: performance is described by delay, throughput, and interactivity; security is described by data encryption and authorization; cost is described by price; reliability is described by availability, reputation, and error rate Description; according to the above task structure description, we desi...

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Abstract

The invention discloses a task immigration-orientated component semantic matching method, which comprises the following steps of: (1) performing semantic description on tasks, components and equipment by using a body network semantic description language; (2) filtering the candidate components by using a component filter; (3) calculating function satisfaction and service quality satisfaction of the candidate components by using a component matcher; (4) calculating the comprehensive satisfaction of the candidate components; and (5) outputting the components with highest comprehensive satisfaction. The method ensures seamlessness and continuity of user task immigration, reduces the participation of a user in a component selection process, and improves the satisfaction of the user.

Description

technical field [0001] The invention relates to the field of computer data processing, in particular to a component matching method based on semantics and comprehensively considering component function satisfaction and service quality satisfaction as component selection criteria. Background technique [0002] With the development of computers and wireless networks, people are no longer satisfied with using fixed desktop computers in a fixed place for work, study and entertainment, and the demand for mobile work is also increasing. Due to the demand for mobile work, users' tasks cannot be limited to fixed places and hardware devices, and we often need task migration. The so-called task migration means that when a task is suspended on a computer or portable device, when we come to another place and use another computing terminal, we can still resume the task and continue running without the need for the user to repeat what has been done before. tasks done. [0003] Due to th...

Claims

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Application Information

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IPC IPC(8): G06F9/44
Inventor 潘纲徐羽琼李耀春李石坚
Owner ZHEJIANG UNIV
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