£124.27

Springer Ontology Matching - Semantic Heterogeneity Book

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Description

In modern computing, ontologies are widely used for database integration, e-commerce, social networks, and semantic web services. However, when different parties adopt different ontologies in open or evolving systems, heterogeneity problems arise. Simply using ontologies can sometimes increase these complexities rather than solving them. This book by Euzenat and Shvaiko provides a deep look into ontology matching as a primary solution to the semantic heterogeneity problems faced by computer science professionals. It addresses the challenges found in peer-to-peer systems and semantic web services, offering a way to bridge the gap between different data structures. Whether you are working on semantic web development or managing complex database integrations, understanding how to match ontologies is essential for system interoperability. This Springer publication serves as a dedicated resource for those navigating the difficulties of evolving digital ecosystems.

Key Features

Addresses semantic heterogeneity problems found in open and evolving systems like the semantic web.

Explores ontology matching as a solution for database integration and peer-to-peer systems.

Provides technical insights for applications in e-commerce and social networks.

Covers the role of ontologies in semantic web services and complex data environments.

Written by experts Euzenat and Shvaiko to help navigate higher-level heterogeneity challenges.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
23 August 2016
Listed Since
28 July 2016

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