Employing Artificial Intelligence to eCommerce Web service

§ Karpagam University

Send Message

To: Author

Employing Artificial Intelligence to eCommerce Web service

Article Fingerprint

ReserarchID

CSTOE01K

Employing Artificial Intelligence to eCommerce Web service Banner

Key Research Insights

Synthesized scholarly intelligence & interactive research assistant
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu
Reading Preferences
Font Size
Line Spacing
Background
This converted HTML version may contain rendering inconsistencies. Please refer to the PDF for the authoritative version, or click here to provide feedback.

Abstract

In recent years, web services have played a major role in computer applications. Web services are essential, as the design model of applications are dedicated to electronic businesses. This model aims to become one of the major formalisms for the design of distributed and cooperative applications in an open environment (the Internet). A main objective of this paper is application of techniques from the field of artificial intelligence (AI) to the field of web services (WS). Current commercial and research-based efforts are reviewed and positioned within these two fields. Particular attention is given to the application of AI techniques to the important issue of WS composition. Within the range of AI technologies considered, we focus on the work of the Semantic Web and Agent-based communities to provide web services with semantic descriptions and intelligent behavior and reasoning capabilities. Re-composition of web services is also considered and a number of adaptive agent approaches are introduced and implemented in publication domain and one of the areas of work is eCommerce.

References

9 Cites in Article
  1. C Boutrous Saab,D Coulibaly,S Haddad,T Melliti,P Moreaux,S Rampacek (2009). An Integrated Framework for Web Services Orchestration‖.
  2. Y Raymond,Lau (2007). Towards a web services and intelligent agents-based negotiation system for B2B eCommerce.
  3. M Sabou,D Richards,S Van Splunter (2003). An experience report on using DAML-S , Workshop on E-Services and the Semantic Web.
  4. B Wu,K Chao (2009). Spanning Trees and Optimization Problems.
  5. Xia Yang,Zhang Qiang,Xu Zhao,Zhang Ling (2007). Research on Distributed E-Commerce System Architecture.
  6. Lixiao Geng,Zhenxiang Zeng,Yajing Jiang (2008). Research on E-Commerce personalized service based on intelligent agent technology.
  7. T Finin,J Mayfield,A Joshi,R Cost,C Fink (2004). Information Retrieval and the Semantic Web.
  8. Scott Short (2002). Building XML Web Services for the Microsoft .NET Platform.
  9. James Murty (Marc). Programming Amazon Web Services.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

R. Vadivel. 1970. "Employing Artificial Intelligence to eCommerce Web service". Global Journal of Computer Science and Technology GJCST Volume 10 (GJCST Volume 10 Issue 8).

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Version of record

v1.2

Issue date
September 20, 2010

Language
English
Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

Article Matrices
Total Views: 5.9K
Total Downloads: 260
All Trends

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Employing Artificial Intelligence to eCommerce Web service

R. Vadivel
R. Vadivel Karpagam University