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Ontology Alignment using Biologically-inspired Optimisation Algorithms

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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.

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Detail Information

Series Title

-

Call Number

510 BOC o

Publisher

: KIT Scientific Publishing., 2013

Collation

-

Language

English

ISBN/ISSN

978-3-86644-936-7

Classification

510

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

Business and management

Specific Detail Info

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Statement of Responsibility

Jürgen Bock

Other Information

Cataloger

Jemadi

Source

-

Validator

maya

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