Automated knowledge discovery and semantic annotation for network and web services

Szu-Yin Lin,Shih-Lun Chen,Ting-Lan Lin,Chihli Hung,Chia-Chen Chung,Wei-Che Hu

doi:10.1177/1550147716657925

Abstract

With the rise of the Internet of things, the smart environmental issue is becoming increasingly important. Sensor web is one of the best solutions to this issue and provides the advantages of sensor networks and web services. Ontology web language for services (OWL-S) is an OWL-based web services ontology, which provides the ability to describe the semantics of web services and their capabilities in a formal and machine-processable manner. Moreover, it aids semantic service matching, selection and composition. However, automatically annotating semantic web services is a highly complicated and tedious task. In this study, we propose a methodology to uncover information in the history data and profiles of web services and then semantically annotate them. With the proposed approach, semantic relationships between web services could be extracted via a combination of association rules and input/output matching. Our results show that this hybrid automated knowledge-discovery approach works better than traditional approaches do. We also provide a scenario to explain how the proposed methodology works.

Highlights

In recent years, with the increasing prevalence of the Internet of things (IoT), the smart environmental issue has become increasingly important
Open Geospatial Consortium (OGC)’s sensor web enablement framework defines a suite of web service interfaces, standards and communication protocols abstracted from the heterogeneity of sensor network communication.[3]
Semantic technologies have been used in recent years as a key solution to provide formalized representations of real-world data

Summary

Introduction

With the increasing prevalence of the Internet of things (IoT), the smart environmental issue has become increasingly important. A ‘sensor web’, a type of sensor network, is one of the best solutions to this issue.[1,2] The terminology of the sensor web is associated with sensing systems that heavily use the World Wide Web as a platform. Open Geospatial Consortium (OGC)’s sensor web enablement framework defines a suite of web service interfaces, standards and communication protocols abstracted from the heterogeneity of sensor network communication.[3] service-oriented architecture (SOA) and web services technologies play important roles in the issue of sensor web monitoring in smart environments. In the IoT environment, we can build integrated semantic service-oriented systems to support semantic interoperability.[4] Semantic technologies have been used in recent years as a key solution to provide formalized representations of real-world data.

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Conclusion