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Towards a new generation of farming system: web services based online sales

Published: 07 March 2019 Publication History

Abstract

Agriculture is one of the pillars of the developing world's economy, which is the main source of livelihood for the majority of people in rural areas. However, information technology is not widely used for this sector. As a result, e-Government initiatives also aim to promote ICTs to support agriculture in rural communities and promote sustainable development in the region. Current trends in e-Government applications require easy-to-use integrated services designed to meet the needs of the citizen and not just organized for the convenience of the provider. One of the possible solutions, which have recently become a common practice in the development of e-Government programs, is to adopt service-oriented systems. To support online farming activities, this paper presents our web-based dynamic composition solution that we applied to a case study of online purchase of agricultural products. An application prototype is set up.

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ArabWIC 2019: Proceedings of the ArabWIC 6th Annual International Conference Research Track
March 2019
136 pages
ISBN:9781450360890
DOI:10.1145/3333165
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Microsoft: Microsoft
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  • ORACLE: ORACLE
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 March 2019

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Author Tags

  1. Dynamic composition
  2. Floyd
  3. Graph
  4. Semantic web service
  5. e-Government

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  • Refereed limited

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ArabWIC 2019

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ArabWIC 2019 Paper Acceptance Rate 20 of 36 submissions, 56%;
Overall Acceptance Rate 20 of 36 submissions, 56%

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