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What is Ontology Matching

Ambient Intelligence Services in IoT Environments: Emerging Research and Opportunities
Set of techniques combined together for identified the similar elements in two ontologies.
Published in Chapter:
Internet of Things Resources Interaction for Service Construction and Delivery
DOI: 10.4018/978-1-5225-8973-0.ch006
Abstract
Semantic interaction support for internet of things (IoT) resources is a key point of the service construction and delivery for the users. Semantic interoperability between interacted resources provides possibilities for them to understand each other. One of the possible approaches to enrich the semantic interoperability is the ontology modeling. Every resource is described by an ontology. The ontology formally represents knowledge as a set of concepts within a domain, using a shared vocabulary to denote the types, properties, and interrelationships of those concepts. Based on the ontology matching techniques, resource ontologies are matched, and resources operate in accordance with this matching. Context is any information that can be used to characterize the situation of an entity. An entity in the considered case is the resource of IoT environment. It is proposed to use the ontologies to describe the context of resource and take this information for task performing. For the service construction, the coalitions of IoT resources that can jointly provide the needed service for a task performing need to be created.
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More Results
Ontology Alignment Overview
See ontology alignment.
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Modeling Collaborative Design Competence with Ontologies
The process of establishing similarity between two ontologies or parts of ontologies. In our approach, a competence profile (part of the ontology representing the collaborative design competence model) can be matched against another ontology (or part of it) representing the collaborative design task.
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Ontology-Based Coalition Creation by Autonomous Agents in Smart Space: An Approach and Case Study
Set of techniques combined together for identified the similar elements in two ontologies.
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An Overview of Ontology-Driven Data Integration
the process of finding relationships or correspondences between entities of different ontologies.
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OSIRIS: Ontology-Based System for Semantic Information Retrieval and Indexation Dedicated to Community and Open Web Spaces
The objective of ontology matching is to discover and evaluate semantic links (e.g. identity or subsumption) between conceptual primitives (concepts and relations) of two given ontologies supposed to be built on related domains.
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