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Agent Component Reuse Based on Semantics Concept Similarity

Published: 24 March 2019 Publication History

Abstract

In a certain field, there is a need to create a large number of agent components, so there may be insufficient agent resources. In other words, there are a lot of tasks that need to be solved by Agent software in a certain period of time. At this time, the solution tree or mesh structure that have been completed tasks are put into the queue. Each time a new task is processed, all tree or mesh structure completed tasks in the queue are traversed from the root node, if there is a node in the queue are highly similar with the new task node. The node is directly used to solve the new task node without to create new Agent component. This paper proposes a tree structure based method for computing the similarity of ontology concepts to reuse Agent component. The experimental results show that this method effectively utilizes the semantic information of ontology concepts and obtains reasonable calculation results, thus reducing the creation of Agents.

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  • (2023)An Intelligent Platform for Software Component Mining and RetrievalSensors10.3390/s2301052523:1(525)Online publication date: 3-Jan-2023

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ICCMB '19: Proceedings of the 2019 2nd International Conference on Computers in Management and Business
March 2019
92 pages
ISBN:9781450361682
DOI:10.1145/3328886
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Univ. of Manchester: University of Manchester

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 March 2019

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Author Tags

  1. Concept similarity
  2. Ontology
  3. Reusing
  4. Tree structure

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  • (2023)An Intelligent Platform for Software Component Mining and RetrievalSensors10.3390/s2301052523:1(525)Online publication date: 3-Jan-2023

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