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

Citation

Bock, Jürgen, “Ontology Alignment using Biologically-inspired Optimisation Algorithms,” Open Educational Resource (OER) - USK Library, accessed June 14, 2024, http://uilis.usk.ac.id/oer/items/show/3759.

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