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What is Similarity Measure

Chapter 47
Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends
An algorithmic method that calculates the degree of some aspect of similarity between two entities.
Published in Chapter:
Matching Relational Schemata to Semantic Web Ontologies
Polyxeni Katsiouli (University of Athens, Greece), Petros Papapanagiotou (University of Athens, Greece), Vassileios Tsetsos (University of Athens, Greece), Christos Anagnostopoulos (University of Athens, Greece), and Stathes Hadjiefthymiades (University of Athens, Greece)
Copyright: © 2009 |Pages: 9
DOI: 10.4018/978-1-60566-242-8.ch047
Abstract
The Semantic Web (SW; Berners-Lee, Hendler, & Lassila, 2001) is already in its implementation phase and an indication of this is the intense research and development activity in the area of SW tools and languages. SW is based on metadata, which describe the semantics of the Web content. SW envisages the enrichment of data with semantics in order to be machine understandable and enable knowledge reasoning. The core element for achieving such Web evolution is ontology: “Ontology is an explicit specification of a conceptualization” (Gruber).
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Chapter 6
A Survey on Data Mining Techniques in Research Paper Recommender Systems
The measure of how much alike two data objects are. In data mining context, it is a distance with dimensions representing features of the objects.
Published in Chapter: A Survey on Data Mining Techniques in Research Paper Recommender Systems; From: Research Data Access and Management in Modern Libraries
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Chapter 155
Mapping Ontologies by Utilising Their Semantic Structure
A method used to calculate the degree of similarity between mapping sources.
Published in Chapter: Mapping Ontologies by Utilising Their Semantic Structure; From: Encyclopedia of Artificial Intelligence
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Chapter 583
Feature Extraction in Content-Based Image Retrieval
A comparison between feature vectors that returns a numerical representation of how similar they are.
Published in Chapter: Feature Extraction in Content-Based Image Retrieval; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 9
A Fuzzy RDF Graph-Matching Method Based on Neighborhood Similarity
Similarity measure or similarity function is a real-valued function that quantifies the similarity between two objects.
Published in Chapter: A Fuzzy RDF Graph-Matching Method Based on Neighborhood Similarity; From: Emerging Technologies and Applications in Data Processing and Management
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Chapter 14
Radial Moments for Image Retrieval
It classifies the images based on their relevance to query image.
Published in Chapter: Radial Moments for Image Retrieval; From: Handbook of Research on Advanced Concepts in Real-Time Image and Video Processing
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Chapter 59
Data Mining Tools: Association Rules
A tool to quantify the similarity between different objects.
Published in Chapter: Data Mining Tools: Association Rules; From: Encyclopedia of Business Analytics and Optimization
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Chapter 36
Content-Based Multimedia Retrieval
A measure that compares the similarity of any two objects represented in the multidimensional space. The general approach is to represent the data features as multidimensional points and then to calculate the distances between the corresponding multidimensional points.
Published in Chapter: Content-Based Multimedia Retrieval; From: Encyclopedia of Multimedia Technology and Networking, Second Edition
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Chapter 60
Data Mining Tools: Formal Concept Analysis and Rough Sets
A tool to quantify the similarity between different objects.
Published in Chapter: Data Mining Tools: Formal Concept Analysis and Rough Sets; From: Encyclopedia of Business Analytics and Optimization
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Chapter 18
Using Concept Maps to Assess Individuals and Teams in Collaborative Learning Environments
quantity that reflects the strength of relationships between two concept maps or features of concept maps.
Published in Chapter: Using Concept Maps to Assess Individuals and Teams in Collaborative Learning Environments; From: Handbook of Research on Collaborative Learning Using Concept Mapping
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