Intelligent Agents(14)

Intelligent agents have been applied to electronic commerce, promising a revolution in the way we conduct business, whether business-to-business, business-to-customer or customer-to-customer. This article gives a brief review of agent technologies involved

During seven years a substantial amount of energy was related to

software engineering [21]. Our employment agent system is an integrated heterogeneous software system consisting of several modules and submodules, written in different programming languages and running on different platforms and operating systems. The system is a 30.000 lines program written mainly in C, partly in other languages and by Internet tools. Together with text and data it occupies 30 MB on a disk. There are over 200.000 visits monthly which represents one tenth of the whole population in Slovenia.

EMA is among most successful applications of intelligent agents in

this part of Europe. In the first year of its implementation, our country was the forth in Europe to offer national employment information through the Internet. At that time, we were the first country in the world to provide over 90% of all nationally available jobs on the Internet. On the other hand, in absolute terms there are employment systems in big countries or employment systems connected to major Internet information providers such as Yahoo or AltaVista that provide orders of magnitude bigger amounts of employment information (). In addition, now we provide substantionally less than 90% of all available jobs due to policy that any amployment subject can on its own decite so send information about available jobs to the Internet or not. Currently, the system runs in its professional application version at national employment office, while at the Jozef Stefan Institute we maintain a prototype mirror with several modules in development.

There are several modules in progress. One is an agent that performs

multiple parallel searches on various search engines, and then visits each Web site in the results and downloads that page. The search agent then analyzes the downloaded results and thus gathers new valuable information on specific domains and how to represent it to users. Another system learns ontologies by learning which job definition corresponds text description of a job application of description of a worker. In this way the system is able to act more sensibly in a particular domain. A couple of other modules are described in the following sections.

5.2 Information integration

Inside the integrated agent [1] there are several single agents, e.g. the speech agent. Agents can be grouped into functional units (see Figure 7), e.g., into NLP agents: speech agents, translating agents; communication agents: database agents, Internet agents, local agents, etc. An important group of agents deals with computer-computer communication, e.g. with HTML sites, and Internet-accessible databases. The Internet-connections group consists of agents, programs and lists of HTML sites. Users can search interesting sites using their

own programs, look at interesting employment links stored by EMA, or use EMA's search programs. A user is typically interested in getting information from HTML sites relevant to him/her. Users can store addresses of interesting sites, and order EMA to inform them when a particular site changes. In a previous implementation of the module, EMA also supplied the changed text by e-mail, but users in polls preferred just the information that a change had occurred.

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