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Lightweight Context-Based Web-Service Composition Model for Mobile Devices

  • Roshan FernandesEmail author
  • G. L. Rio D’Souza
Chapter
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 21)

Abstract

With the widespread use of mobile devices having powerful processing capabilities, there is an ever-increasing demand to localize essential mobile services on these mobile devices to increase convenience. Most of the current computation concentrates on collecting service information from mobile devices and processing it at the server side. This is because semantic analysis of the service description in the mobile device is a resource intensive process. One of the main processes involved in the semantic analysis is the Parts of Speech (POS) Tagging. Currently, POS tools are not available for mobile devices. POS tagging however is a resource intensive application which is a challenge in the context of mobile devices due to limited availability of resources such as power, memory and processing capability. This chapter discusses a new, lightweight, context based web service composition model for mobile devices. The main idea is to build a lightweight POS tagger in the mobile device itself. The POS tagger finds its application in the context of identifying services requested by users in the form of natural language queries. Once the service names are identified in the mobile device, the request is sent to the web-service providers for their response and these responses are composed in the mobile device.

Keywords

Mobile web-service Parts of speech tagger (POS) Markov chain probabilistic model JSON XML Trie 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringNMAM Institute of TechnologyNitteIndia
  2. 2.Department of Computer Science and EngineeringSt. Joseph Engineering CollegeVamanjoor, MangaloreIndia

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