@inproceedings{a7966430debc41f9b3962f5d4dd7c907,
title = "Collaborative ontology generation method using an ant colony optimization model",
abstract = "Ontology has been regarded as the core technology of the semantic web. However, non-experts still have difficulties in participating in ontology generation. So, the growing need for public participation in ontology generation has arisen. We propose a method in which the public may participate in ontology generation by adopting the ACO (Ant Colony Optimization) algorithm. We demonstrate that the ontology generated by the proposed method is satisfactory to justify our method: precision and recall of the ontology are about 94.44 and 99.6% respectively. The suggested method enables the construction of the semantic web environment with non-experts in the field of ontology engineering.",
keywords = "Ant colony optimization (ACO), Ontology, Semantic web",
author = "Hansaem Park and Jeungmin Lee and Kyunglag Kwon and Jongsoo Sohn and Yunwan Jeon and Sungwoo Jung and Chung, {In Jeong}",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Singapore 2016. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 11th International Conference on Future Information Technology, FutureTech 2016 ; Conference date: 20-04-2016 Through 22-04-2016",
year = "2016",
doi = "10.1007/978-981-10-1536-6_71",
language = "English",
isbn = "9789811015359",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "541--549",
editor = "Hai Jin and Young-Sik Jeong and Khan, {Muhammad Khurram} and Park, {James J.}",
booktitle = "Advanced Multimedia and Ubiquitous Engineering - FutureTech and MUE",
}