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What is Similarity Measures

Chapter 15
Handbook of Research on Service-Oriented Systems and Non-Functional Properties: Future Directions
Measures used to compare the degree of similarity (or dissimilarity) between two concepts on a domain.
Published in Chapter:
Considering Quality of a Service in an Intentional Approach
Assia Ait-Ali-Slimane (Université Paris1 Panthéon Sorbonne, France), Manuele Kirsch-Pinheiro (Université Paris1 Panthéon Sorbonne, France), and Carine Souveyet (Université Paris1 Panthéon Sorbonne, France)
Copyright: © 2012 |Pages: 18
DOI: 10.4018/978-1-61350-432-1.ch015
Abstract
The success of service-based applications is based on service technologies such as Web services. Nevertheless, the benefits of the Service-Oriented Architecture (SOA) remain mainly at the software level, since business people are often unable to fully exploit its benefits due to their unfamiliarity with such software level technology. The intentional Service-Oriented Architecture (iSOA) suggests a move from the function-driven SOA to intention-driven SOA in order to provide service description understandable by business practitioners. However, such transposition from business to implementation level should also consider Quality of Service (QoS) aspects. In this paper, we propose modeling the Quality of intentional Service (QoiS) by introducing the quality goals and their qualitative and quantitative evaluation. We also propose populating the intentional service registry of the iSOA architecture with the QoiS description.
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Chapter 20
Global Research Trajectories of Hereditary Non-Rare Thrombophilia in a Scientometrics Analysis: Quantitative and Qualitative Maps of the Circulation of a Genetic Risk Factor
In data science, the similarity measure is a way of measuring how data samples are related or closed to each other. On the other hand, the dissimilarity measure is to tell how much the data objects are distinct. Moreover, these terms are often used in clustering when similar data samples are grouped into one cluster.
Published in Chapter: Global Research Trajectories of Hereditary Non-Rare Thrombophilia in a Scientometrics Analysis: Quantitative and Qualitative Maps of the Circulation of a Genetic Risk Factor; From: Cases on Developing Effective Research Plans for Communications and Information Science
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Chapter 9
Service Selection with Uncertain Context Information
Measures used to compare the degree of similarity (or dissimilarity) between two concepts on a domain.
Published in Chapter: Service Selection with Uncertain Context Information; From: Handbook of Research on Service-Oriented Systems and Non-Functional Properties: Future Directions
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Chapter 24
Case Based Reasoning for Customizing Treatment Processes
Two-digit, real-valued function on the problem space: Sim: PxP ? [0;1]. The value range of similarity measures is restricted to the interval between zero and one, whereas the value zero represents minimal similarity and the value one symbolizes maximal similarity. Similarity measures enable the calculation of similarity between the problem of the query and the problem of the case of the case base (Stahl 2003, S. 47).
Published in Chapter: Case Based Reasoning for Customizing Treatment Processes; From: Handbook of Research on Distributed Medical Informatics and E-Health
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Chapter 1
Digital Image Enhancement Techniques for Dental Radiographs: A Support to Clinicians
It quantifies the similarity between two images and shows how self-similar an image is with the query or processed image.
Published in Chapter: Digital Image Enhancement Techniques for Dental Radiographs: A Support to Clinicians; From: Computational Techniques for Dental Image Analysis
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