Various Approaches for Discovery of Web Services Associated with Medical Fields from Public Repositories.
DOI:
https://doi.org/10.69980/ajpr.v28i2.289Keywords:
Web service discovery, Medical Fields, Medicine, Psychiatric Rehabilitation, Logic-based search, Probabilistic matchmaking, Machine learning.Abstract
A web service is an entrance to certain application functionality realized with common internet technologies. Users of services do not need to be aware of the details of service implementation. The number of services on the internet as well as in the enterprise is growing., which introduces new challenges in searching for and finding needed web services. There are various web service discovery methods utilized. There are syntax-based ones among them, and others are syntax-independent methods. Literature work sheds light on the work already carried out on published Web Service Discovery associated with medical field. Conversely, it outlines the approach and the adopted methods of newly developed Web Service Discovery techniques.
References
1. Carla Limongelli 1, Matteo Lombardi 2, Alessandro Marani3, And Davide Taibi 4, “ A Semantic Approach To Ranking Techniques: Improving Web Page Searches For Educational Purposes ”, Ieee Access, 27 June 2022, Volume 10
2. Ismael Castell-Uroz, Ismael Douha-Prieto, Meritxell Basart-Dotras, Pol Mesegué-Molina, And Pere Barlet-Ros, “ Eprivo. Eu: An Online Service For Automatic Web Tracking Discovery ”, 22 February 2023, Volume 11
3. Muhammad Hasnain 1, Muhammad Fermi Pasha 1, (Member, Ieee), Imran Ghani2, Muhammad Imran 3, Mohammed Y. Alzahrani 4, And Rahmat Budiarto 5, “ Evaluating Trust Prediction And Confusion Matrix Measures For Web Services Ranking ”, Ieee Access, May 12, 2020, Volume 8
4. Ahmet Vedat Tokmak, Akhan Akbulut, Cagatay Catal, "Web Service Discovery: Rationale, Challenges, And Solution Directions", Journal ScienceDirect,
5. Zhaleh Sadreddini, “ A Novel Cancellation Protection Service In Online Reservation System ”, Ieee Access, July 13, 2020, Volume 8
6. Lasitha Chamari, Ekaterina Petrova, And Pieter Pauwels, “ An End-To-End Implementation Of A Service-Oriented Architecture For Data-Driven Smart Buildings ”, Ieee Access, 19 October 2023, Volume 11
7. Liu Hui, He Xudong, Gao Fan, Wang Kailun, And Yuan Enze, “ Web Service Access Control Based On Browser Fingerprint Detection ”, 28 April 2021, Journal Of Web Engineering, 28 April 2021, Vol. 20 .5
8. Enhanced Natural Language Interface For Web-Based Information Retrieval, Enhanced Natural Language Interface For Web-Based Information Retrieval, Ieee Access, December 30, 2020, Vol 9
9. Diego Cagigas, Judith Clifton, Daniel Diaz-Fuentes, And Marcos Fernández-Gutiérrez, Blockchain For Public Services: A Systematic Literature Review, Ieee Access, January 18, 2021, Volume: 9
10. Ahad Alqabasani1, Ahlem Ben Hassine1, Arif Bramantoro2, And Asma Almunchi3, "Local Consistency Reinforcement For Enhancing Web Service Composition", Journal Of Web Engineering, Vol. 21 4, , Publication 12 April 2022
11. 11 Sivankalai, S Virumandi, "Web Services In Cloud Computing Services In Cloud Computing Research: Insights Fr Ch: Insights From Scientometric" Library Philosophy And Practice (E-Journal), 6-27-2021
12. Zhixuan Jia1, Yushun Fan1, Jia Zhang2, Xing Wu1, Chunyu Wei1and Ruyu Yan, "A Multi-Source Information Graph-Based Web Service Recommendation Framework For A Web Service Ecosystem", Journal Of Web Engineering, 13 March 2023, Vol 21.8
13. Maha Driss 1,2, Amani Aljehani 2,3, Wadii Boulila 1,2, (Senior Member, Ieee), Hamza Ghandorh 2, And Mohammed Al-Sarem 2, "Servicing Your Requirements: An Fca And Rca-Driven Approach For Semantic Web Services Composition", Ieee Access, March 23, 2020, Vol 8
14. Kailash Chander Bharadwaj, R.K. Sharma, "Machine Learning In Efficient And Effective Web Service Discovery", Journal Of Web Engineering, Vol. 14, October 29, 2014
15. Nimra Memon1, Muhammad Saleem Vighio 2, Yar Muhammad 3, (Senior Member, Ieee), And Zahid Hussain Abro1, "Fault Tolerance Framework For Composite Web Services", Ieee Access, N July 5, 2021, Vol 9
16. Ravi Shankar Pandey, "A Context Service Graph For Web Service Discovery With Qos ", Int. J. Advanced Networking And Applications Volume: 13, Sep 21, 2021
17. Kitsiri Chochiang, Fouad Hanna, Marie-Laure Betbeder, Jean-Christophe Lapayre, “ A New Web-Services Based Platform For Semantic Transliterated Words Searching To Facilitate Tourists Trips In Thailand ”, Ieee 20th International Conference
18. Sobhan Mohammadnia, Rasool Esmaeilyfard, And Reza Akbari, “An Efficient Method For Automatic Antipatterns Detection Of Rest Web Services ”, Journal Of Web Engineering, 21 September 2021 Vol. 20.6
19. Mohamed Eb-Saad1, Yunyoung Nam2, Hazem M. El-Bakry1, And Samir Abdelrazek1, “ Development Of A Smart Technique For Mobile Web Services Discovery ”, Tech Science Press, Vol.69
20. Hongjian Guo, “ Research On Web Data Mining Based On Topic Crawler ”, Journal Of Web Engineering, 24 June 2021, Vol. 20 4
21. X. Dong, A. Halevy, J. Madhavan, E. Nemes, And J. Zhang, “Similarity Search For Web Services”, Proceedings Of The 30th Vldb Conference, Toronto, Canada, 2004.
22. Debajyotimukhopadhyay, Archanachougule “A Survey On Web Service Discovery Approaches” Http://Arxiv.Org/Ftp/Arxiv/Papers/1206/1206.5582.Pdf
23. Http://Www.Techopedia.Com/Definition/24421/Universal-Description-Discovery-And-Integration-Uddi
24. Http://En.Wikipedia.Org/Wiki/Web_Services_Description_Language
25. A Comparative Evaluation Of Semantic Web Service Discovery Algorithms And Engines By Savithaemani, 2009
26. C. Platzer And S. Dustdar, “A Vector Space Search Engine For Web Services,” Proc. Third European Conf. Web Services (Ecows ’05), 2005.
27. Gilbert Cassar, Payambarnaghi, Klaus Moessner, “Probabilistic Matchmaking Methods For Automated Service Discovery” Ieee Transactions On Services Computing, 2013.
28. A. Segev And E. Toch, “Context-Based Matching And Ranking Of Web Services For Composition,” Ieee Transactions On Services Computing, Vol. 99, No. Preprints, Pp. 210–222, 2009
29. S.-L. Pan And Y.-X. Zhang, “Ranked Web Service Matching For Service Description Using Owl-S” Web Information Systems And Mining, 2009. Wism 2009. International Conference On, Pp. 427 –431, Nov. 2009.
30. R. Nayak And B. Lee, “Web Service Discovery With Additional Semantics And Clustering,” In Proceedings Of The Ieee/Wic/Acm International Conference On Web Intelligence. Washington, DC, USA: Ieee Computer Society, 2007, Pp. 555–558.
31. O. Mola, P. Emamian, And M. Razzazi, “A Vector Based Algorithm For Semantic Web Services Ranking,” Information And Communication Technologies: From Theory To Applications, 2008. Ictta 2008. 3rd International Conference On, Pp. 1 –5, Apr. 2008.
32. W. Wei, P. Barnaghi, And A. Bargiela, “Probabilistic Topic Models For Learning Terminological Ontologies,” Ieee Transactions On Knowledge And Data Engineering, Vol. Pp. 1028–1040, 2010.
33. G. Cassar, P. Barnaghi, And K. Moessner, “A Probabilistic Latent Factor Approach To Service Ranking,” In Intelligent Computer Communication And Processing (Iccp), 2011 Ieee International Conference On, Aug. 2011, Pp. 103 –109
34. Jiangang Ma, Jinli Cao, Yanchun Zhang, “A Probabilistic Semantic Approach For Discovering Web Services”, Www 2007, May 8–12, 2007, Banff, Alberta, Canada. Acm 978- 1-59593-654-7/07/0005
35. Wengerong, Kecheng Liu, “A Survey Of Context-Aware Web Service Discovery: From User’s Perspective”, Fifth Ieee International Symposium On Service-Oriented System Engineering, 2010
36. Guo Wen-Yue, Quhai-Cheng, Chen Hong, “Semantic Web Service Discovery Algorithm And Its Application On The Intelligent Automotive Manufacturing System”, International Conference On Information Management And Engineering, Ieeexplore, 2010.
37. Bo Zhou, Tingleihuan, Jie Liu, Meizhoushen, “Using Inverted Indexing To Semantic Web Service Discovery Search Model”, 5th International Conference On Wireless Communications, Networking, And Mobile Computing, I explore, 2009
38. T. Rajendran, P. Balasubramanian, “An Optimal Agent-Based Architecture For Dynamic Web Service Discovery With Qos”, Second International Conference On Computing, Communication, And Networking Technologies, Ieeexplore 2010.
39. M. Brian Blake And Michael F. Nowlan “Taming Web Services from The Wild” Ieee Computer Society, 2008.
40. Li Baoli, Yu Shiwen, And Lu Qin, “An Improved K-Nearest Neighbor Algorithm for Text Categorization” Proceedings Of The 20th International Conference On Computer Processing Of Oriental Languages, Shenyang, China, 2003.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 American Journal of Psychiatric Rehabilitation
This work is licensed under a Creative Commons Attribution 4.0 International License.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License permitting all use, distribution, and reproduction in any medium, provided the work is properly cited.
