Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

WikiServe: Using Wikipedia to Match IoT based Services for Situation Response

Version 1 : Received: 5 August 2021 / Approved: 6 August 2021 / Online: 6 August 2021 (13:12:33 CEST)

How to cite: Khan, S.Z.; Colman, A.; Sarker, I.H. WikiServe: Using Wikipedia to Match IoT based Services for Situation Response. Preprints 2021, 2021080163 (doi: 10.20944/preprints202108.0163.v1). Khan, S.Z.; Colman, A.; Sarker, I.H. WikiServe: Using Wikipedia to Match IoT based Services for Situation Response. Preprints 2021, 2021080163 (doi: 10.20944/preprints202108.0163.v1).

Abstract

A large number of smart devices (things) are being deployed with the swift development of Inter- net of Things (IOT). These devices, owned by different organizations, have a wide variety of services to offer over the web. During a natural disaster or emergency (i.e., a situation), for example, relevant IOT services can be found and put to use. However, appropriate service matching methods are required to find the relevant services. Organizations that manage situation responses and organizations that provide IOT services are likely to be independent of each other, and therefore it is difficult for them to adopt a common ontological model to facilitate the service matching. Moreover, there exists a large conceptual gap between the domain of discourse for situations and the domain of discourse for services, which cannot be adequately bridged by existing techniques. In this paper, we address these issues and propose a new method, WikiServe, to identify IOT services that are functionally relevant to a given situation. Using concepts (terms) from situation and service descriptions, WikiServe employs Wikipedia as a knowledge source to bridge the conceptual gap between situation and service descriptions and match functionally relevant IOT services for a situation. It uses situation terms to retrieve situation related articles from Wikipedia. Then it creates a ranked list of services for the situation using the weighted occurrences of service terms in weighted situation articles. WikiServe performs better than a commonly used baseline method in terms of Precision, Recall and F measure for service matching.

Keywords

Service Computing; Internet of Things; Situation Response; Services in Internet of Things

Subject

MATHEMATICS & COMPUTER SCIENCE, Artificial Intelligence & Robotics

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