Ontology Alignment using Biologically-inspired Optimisation Algorithms
Dublin Core
Title
Ontology Alignment using Biologically-inspired Optimisation Algorithms
Subject
Business and Management
Description
It is investigated how biologically-inspired optimisation methods can be used to compute alignments between ontologies. Independent of particular similarity metrics, the developed techniques demonstrate anytime behaviour and high scalability. Due to the inherent parallelisability of these population-based algorithms it is possible to exploit dynamically scalable cloud infrastructures - a step towards the provisioning of Alignment-as-a-Service solutions for future semantic applications.
Creator
Bock, Jürgen
Source
https://www.ksp.kit.edu/9783866449367
Publisher
KIT Scientific Publishing
Date
2013
Contributor
Baihaqi
Rights
Creative Commons
Format
PDF
Language
English
Type
Textbooks
Files
Collection
Citation
Bock, Jürgen, “Ontology Alignment using Biologically-inspired Optimisation Algorithms,” Open Educational Resource (OER) - USK Library, accessed October 10, 2024, http://uilis.usk.ac.id/oer/items/show/3759.