@inproceedings{ad6c485f66584a1cad5b3c6aafd33664,
title = "A learning ontology method for RESTful semantic web services",
abstract = "The growing number of RESTful web services available on the web raises a challenging search problem as to how the desired web services should be located. Traditional keyword searching is inaccurate, and its limitations have been noted for several years. We propose a combination method of WADL and a learning ontology mechanism to enable RESTful semantic web services. These syntactic and semantic descriptions allow search engines to support a similarity search for RESTful web services. We describe an experimental study on a collection of 168 RESTful web services. The experimental results show that our method has higher performance in terms both of the rate of recall and precision compared to existing methods.",
keywords = "Ontology learnig, Parameter clustering, Pattern analysis, RESTful web services, Semantic web, Similarity search, WADL",
author = "Lee, {Yong Ju} and Kim, {Chang Su}",
year = "2011",
doi = "10.1109/ICWS.2011.59",
language = "English",
isbn = "9780769544632",
series = "Proceedings - 2011 IEEE 9th International Conference on Web Services, ICWS 2011",
publisher = "IEEE Computer Society",
pages = "251--258",
booktitle = "Proceedings - 2011 IEEE 9th International Conference on Web Services, ICWS 2011",
address = "United States",
note = "2011 IEEE 9th International Conference on Web Services, ICWS 2011 ; Conference date: 04-07-2011 Through 09-07-2011",
}