An Ontology-Based Data Mining Framework in Traffic Domain

Ru Guang Wang; Wei Di Dai; Jie Ru Cheng

doi:10.4028/www.scientific.net/AMM.121-126.55

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Buckling Behavior of Optimal Laminated Composite Cylindrical Shells Subjected to Axial Compression and External Pressure
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An Ontology-Based Data Mining Framework in Traffic Domain
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 121-126An Ontology-Based Data Mining Framework in Traffic...

An Ontology-Based Data Mining Framework in Traffic Domain

Abstract:

Traditional data mining often focuses on the research of models and methods without considering of specific requirements in the field. This paper proposes a data mining framework in traffic field—Traffic Domain Data-Mining Framework (TDDMF) which is a domain-driven data mining framework based on ontology. The ontology model for traffic domain data based on TDDMF is also built in the paper. A prototype system is developed to prove the availability and effectiveness of TDDMF.

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Periodical:

Applied Mechanics and Materials (Volumes 121-126)

Pages:

55-59

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.121-126.55

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Online since:

October 2011

Authors:

Ru Guang Wang, Wei Di Dai, Jie Ru Cheng

Keywords:

Data Ontology, Domain-Driven Data Mining, Ontology, Tddmf

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References

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