Posters and Demonstrations

Lee, J. K.; Lee, Jongmin; Kim, In Young; Kwon, J. S.; Kim, S. I.

doi:10.1007/s10278-003-4010-3

Journal of Digital Imaging

2003

DOI: 10.1007/s10278-003-4010-3

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Posters and Demonstrations

J. K. Lee

Jongmin Lee²,

In Young Kim³

et al.

Abstract: Hypothesis:Lee et al • 95 Conclusion:We proposed a fast algorithm for the ASP, using an adaptive ray traversal method based on minimum distance Þ eld for the similarity measure between a surface or set of surfaces and the object in the image data. It reduced the calculation time for the extraction of parametric representations of the cortical surface. The quality of surface models produced by this method is exactly same as those produced by the original ASP.

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Empirical Study for Semantic Annotation of Web Services

Bouchiha¹,

Malki²,

Djaa³

et al. 2014

IJNDC

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Web services have become the main paradigm for the development of distributed software systems using a common set of technologies, including SOAP, WSDL and UDDI. This allows accessing to software components residing on different platforms and written in different programming languages. However, several tasks, including service discovery and composition, remain difficult to be automated. Thus, a new technology has emerged to solve this problem; it is the Semantic Web Services (SWS). One way to produce SWS is the annotation. In this paper, an approach to annotate Web services is presented. The approach consists of two main processes, categorization and matching. Both processes use ontology matching techniques. In particular, the two processes use similarity measures between entities, strategies to calculate similarities between sets and a threshold corresponding to the accuracy. Thus, an internal comparative study has been done to determine which strategy is appropriate to this approach, which measure gives best results and which threshold is optimum for the selected measure and strategy. An external comparative study has been also carried out to prove the efficacy of this approach compared to existing annotation approaches.

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Empirical Study for Semantic Annotation of Web Services

Bouchiha¹,

Malki²,

Djaa³

et al. 2014

IJNDC

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Posters and Demonstrations

Cited by 1 publication

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Empirical Study for Semantic Annotation of Web Services

Empirical Study for Semantic Annotation of Web Services

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