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Vol.2 , No. 3, Publication Date: Oct. 13, 2015, Page: 95-101
 systems to find the best solution based on the information available to it. With development in web technology and advent of dynamic web services the data is processed and distributed through web services. Such data is a valuable source of information for the proposed AI system. Web services are dynamic as parameters are passed on to its functions. Values returned from these web services (functions) can provide input for Intelligent Systems to accomplish various tasks. Our focus is on existing web services to be used as data source for the intelligent system. Web Services are considered to be ability provider to the system. We need to categorize web services which enable a particular ability for our intelligent prototype system. In our paper we have proposed a method to sort and categorize various forms of Web services in to areas and levels of expertise. We derived a technique for our Web Intelligent System to achieve tasks by utilizing one or more areas of expertise obtained from World Wide Web. Our AI-prototype’s initial interaction with the World Wide Web is Application Programming Interface (API) directory through which it searches for an API related to the ability desired by the prototype, programmatically handshaking for data exchange protocols and initiating a flow of query and responses over transmission control protocol (tcp), user datagram protocol (udp) and Hypertext transfer Protocol (http/https).&picture=http://www.aascit.org/aascit/decorators/img/journal/915.jpg)
| [1] | Rustom Mamlook, Department of Electrical & Computer Engineering, College of Engineering, Dhofar University, Salalah, Sultanate of Oman. |
| [2] | Omer Fraz Khan, Department of Electrical & Computer Engineering, College of Engineering, Dhofar University, Salalah, Sultanate of Oman. |
Provision of data to intelligent systems, for decision making, by making use of World Wide Web is one of the most promising areas of research in Artificial Intelligence. When a task is given to an intelligent system, its solution is unknown. It is the job of Artificial Intelligent (AI) systems to find the best solution based on the information available to it. With development in web technology and advent of dynamic web services the data is processed and distributed through web services. Such data is a valuable source of information for the proposed AI system. Web services are dynamic as parameters are passed on to its functions. Values returned from these web services (functions) can provide input for Intelligent Systems to accomplish various tasks. Our focus is on existing web services to be used as data source for the intelligent system. Web Services are considered to be ability provider to the system. We need to categorize web services which enable a particular ability for our intelligent prototype system. In our paper we have proposed a method to sort and categorize various forms of Web services in to areas and levels of expertise. We derived a technique for our Web Intelligent System to achieve tasks by utilizing one or more areas of expertise obtained from World Wide Web. Our AI-prototype’s initial interaction with the World Wide Web is Application Programming Interface (API) directory through which it searches for an API related to the ability desired by the prototype, programmatically handshaking for data exchange protocols and initiating a flow of query and responses over transmission control protocol (tcp), user datagram protocol (udp) and Hypertext transfer Protocol (http/https).
Keywords
Web Based, Advanced Intelligent Systems, Application of Web Services for Artificial Intelligence, Application Programming Interface
Reference
| [01] | D. Richards, M. Sabou, S. van Splunter, F.M.T. Brazier. Artificial Intelligence: a Promised Land for Web Services, retrieved from http://comp.mq.edu.au/~richards/, last updated on July, 2015. |
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| [03] | Seog-Chan Oh, Dongwon Lee, and Soundar R.T. Kumara, A Comparative Illustration of AI Planning-based Web Services Composition, 2005. |
| [04] | UDDI discovery mechanisms retrieved from http://uddi.xml.org last updated on September 2015. |
| [05] | Brian Suda, SOAP Web Services: Publications at University of Edinburgh 2003. |
| [06] | OWS 2 Common Architecture: WSDL SOAP UDDI, Open Geospatial Consortium Inc, 2004. |
| [07] | A project for answering queries to the typed input questions available at http://webknox.com last update in Sept, 2015. |
| [08] | Kurt Bryan and Tanya Leise, The $25,000,000,000* Eigenvector the Linear Algebra Behind Google, 2006. |
| [09] | An Open Source web crawler project available at http://nutch.apache.org/, last updated in 2014. |
| [10] | Web Services available at the following: http://www.webservicex.net/ws/WSDetails.aspx?CATID=12&WSID=56, last updated in 2015. |
| [11] | Weather providing Web Service retrieved from http://wsf.cdyne.com/WeatherWS/Weather.asmx in Aug, 2015. |
| [12] | Web Service Search Project retrieved from http://db.cs.washington.edu/webService/woogle_vldb.pdf, last retrieved in 2014. |
| [13] | SOAP UI Web Service functional Tests at http://www.soapui.org/Getting-Started/web-service-sample-project/All-Pages.html, last updated in 2015. |
| [14] | Katia Sycara, Dynamic Discovery, Invocation and Composition of Semantic Web Services, 2004. |
| [15] | Page 8. Autonomous Semantic Web Service Discovery, Methods and Applications of Artificial Intelligence: Book on Third Helenic Conference on AI, SETN 2004, Samos, Greece, May 5-8, 2004, Proceedings. Volume 3, Springer. George A. Vouros, ThemistoklisPanayiotopoulo, Pages: 546. |
