Abstract
In this paper, a Semantic Web service matchmaker called UltiMatch-NL is presented. UltiMatch-NL applies two filters namely Signature-based and Description-based on different abstraction levels of a service profile to achieve more accurate results. More specifically, the proposed filters rely on semantic knowledge to extract the similarity between a given pair of service descriptions. Thus it is a further step towards fully automated Web service discovery via making this process more semantic-aware. In addition, a new technique is proposed to weight and combine the results of different filters of UltiMatch-NL, automatically. Moreover, an innovative approach is introduced to predict the relevance of requests and Web services and eliminate the need for setting a threshold value of similarity. In order to evaluate UltiMatch-NL, the repository of OWLS-TC is used. The performance evaluation based on standard measures from the information retrieval field shows that semantic matching of OWL-S services can be significantly improved by incorporating designed matching filters. © 2014 Mohebbi et al.
Cite
CITATION STYLE
Mohebbi, K., Ibrahim, S., Zamani, M., & Khezrian, M. (2014). UltiMatch-NL: A Web Service Matchmaker Based on Multiple Semantic Filters. PLoS ONE, 9(8), e104735. https://doi.org/10.1371/journal.pone.0104735
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.