Keywords: information recovery, data mining, web mining, service oriented architecture, web services.

Nowadays the World Wide Web is the biggest source of information that we can find. The technologies available for information processing and analysis have allowed people to collect and store information from a wide range of sources. A few years ago reaching this amount of stored information was unimaginable. However, because the internet is extremely dynamic, the task of isolating qualified information can become a frustrating experience. Much research effort has been made to prevent this problem. Due to this fact, several search mechanisms for the retrieval of information have been developed. Web mining is a presented as one of the technologies responsible for seeking rules and standards automatically.

Over past few years of computing evolution, the distribution profile of an application, as well as the technology of computers and the software used to develop it, have changed dramatically. Several studies point out that service oriented architectures (SOA) will have a great influence on the development of new systems in the very near future. According to McCoy and Yefim [1], SOA will be the predominant software engineering practice, setting an end to forty years of dominance of the monolithic software architectures. Such architecture is based on the concept of services and it is a kind of independent function that allows users to make one or more requests and offer one or more answers through a predefined and standardised interface [2].

This study presents research on the information mining systems in the web; and also discusses and analyses characteristics and techniques of SOA for these systems. Hence, the basic objective of this study is to present what a SOA can provide to systems of information mining in the web.

The implementation of a web service in conjunction with SOA provides flexibility for the distribution of services in the system, making it easier for implantation, in contrast with other more traditional technologies. As a result, the characteristics of the SOA, which might be taken up, cannot be absorbed by the systems with the same quality.

Several researchers show the potential of the combination of Web Service and SOA for data mining systems on the web [2,3,4]. For instance, it could be highlighted that the ease of expansion with the definition of new services to reach other stages is identified as important. Without the use of a SOA, this expansion would certainly have very higher costs and could provoke problems in parts that are working correctly.

1

D.W. McCoy, V.N. Yefim, "Service-Oriented Architecture: Mainstream Straight Ahead", 2003.

2

T. Erl, "Service-Oriented Architecture: A Field Guide to Integrating XML and Web Services", Pearson Education Inc., 2004.

3

Q.H. Mahmoud, "Service-Oriented Architecture (SOA) and Web Services: The Road to Enterprise Application Integration (EAI)", Sun Microsystems Inc, 2005. Retrieved 04 April 2008 from java.sun.com/developer/technicalArticles/ WebServices/soa

4

D.O. Guedes, W. Meira Jr., R.A.C. Ferreira, "Anteater: A Service-Oriented Architecture for High-Performance Data Mining", IEEE Internet Computing, 10, 36-43, 2006. doi:10.1109/MIC.2006.69

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