SDISSASA: A Multiagent-Based Web Mining via Semantic Access to Web Resources in Enterprise Architecture

Distributed intelligent software agents (DISA) are software agents that help out users and act on their behalf. Such agents might be robots or virtual software systems. They are able to intelligent if they interact with their environment in an approach that would generally be observed as intelligent if that communication were carried out by a human being. As a result, gathering information from Web sources via distributed intelligent software agents in enterprise architecture can be implemented platform independent, reusable, and would be better modeled in n-tier or enterprise-tier architecture. The purpose of this paper is to develop a novel distributed intelligent software agent architecture capable of manually and automatically locating and extracting user specified data from the Web, and to dynamically populate semantic databases with the data for later access and retrieval. Implementation of this project not only enables the software to access the semantic information which has been created by a typical Web source, but also it is equipped producing a meta database for executing the queries in semantic database. On the other hand, agents of this system have been enabled for the creation of customized knowledge-based ontology files over enterprise model for future usage of users.