Ontology Alignment using Biologically-inspired Optimisation Algorithms
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...
সংরক্ষণ করুন:
| প্রধান লেখক: | |
|---|---|
| বিন্যাস: | বৈদ্যুতিক গ্রন্থের অধ্যায় |
| ভাষা: | ইংরেজি |
| প্রকাশিত: |
KIT Scientific Publishing
2013
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | DOAB: download the publication DOAB: description of the publication |
| ট্যাগগুলো: |
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| সংক্ষিপ্ত: | 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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| দৈহিক বর্ননা: | 1 electronic resource (XIV, 220 p. p.) |
| আইসবিএন: | KSP/1000030761 9783866449367 |
| প্রবেশাধিকার: | Open Access |