Search
Abstract
It is beneficial to annotate sensor data with distinct sensor ontologies in order to facilitate interoperability among different sensor systems. However, for this interoperability to be possible, comparable sensor ontologies are required since it is essential to make meaningful links between relevant sensor data. Swarm Intelligent Algorithms (SIAs), namely the Beetle Swarm Optimisation Algorithm (BSO), present a possible answer to ontology matching problems. This research focuses on a method for optimizing ontology alignment that employs BSO. A novel method for effectively controlling memory use and striking a balance between algorithm exploration and exploitation is proposed: the Simulated Annealing-based Beetle Swarm Optimisation Algorithm (SA-BSO). Utilizing Gray code for solution encoding, two compact operators for exploitation and exploration, and Probability Vectors (PVs) for swarming choosing exploitation and exploration, SA-BSO combines simulated annealing with the beetle search process. Through inter-swarm communication in every generation, SA-BSO improves search efficiency in addressing sensor ontology matching. Three pairs of real sensor ontologies and the Conference track were used in the study to assess SA-BSO's efficacy. Statistics show that SA-BSO-based ontology matching successfully aligns sensor ontologies and other general ontologies, particularly in conference planning scenarios.
Citations
-
5 4
CrossRef
-
0
Web of Science
-
5 5
Scopus
Authors (5)
-
Abdul Lateef Haroon P S
-
Sujata N. Patil
-
Parameshachari Bidare Divakarachari
-
M. D. Rafeeq
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
Internet Technology Letters
no. 7,
ISSN: 2476-1508 - Language:
- English
- Publication year:
- 2024
- Bibliographic description:
- Haroon P S A. L., Patil S. N., Divakarachari P. B., Falkowski-Gilski P., Rafeeq M. D.: An optimized system for sensor ontology meta-matching using swarm intelligent algorithm// Internet Technology Letters -Vol. 7,iss. 4 (2024), s.e498-
- DOI:
- Digital Object Identifier (open in new tab) 10.1002/itl2.498
- Sources of funding:
-
- Free publication
- Verified by:
- Gdańsk University of Technology
seen 137 times
Recommended for you
Design of dimensionally stable composites using efficient global optimization method
- L. Aydin,
- O. Aydin,
- H. S. Artem
- + 1 authors
Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents
- S. Donghui,
- L. Zhigang,
- J. Zurada
- + 3 authors
Analyzing Wind Energy Potential Using Efficient Global Optimization: A Case Study for the City Gdańsk in Poland
- O. Aydin,
- B. Igliński,
- K. Krukowski
- + 1 authors