# Semantic Oriented Agent Based Approach Towards Engineering Data Management, Web Information Retrieval And User System Communication Problems

Zeeshan Ahmed and Detlef Gerhard Mechanical Engineering Informatics and Virtual Product Development Division (MIVP), Vienna University of Technology Austria Telephone: + 43 1 58801 30726 & Fax: + 43 1 58801 30798        
Email: {zeeshan.ahmed, detlef.gerhard}@tuwien.ac.at & Web: www.mivp.tuwien.ac.at Address: Getreidemarkt 9/307 1060 Wien Austria                          

## Abstract

The four intensive problems to the software rose by the software industry .i.e., User System Communication / Human Machine Interface, Meta Data extraction, Information processing & management and Data representation are discussed in this research paper. To contribute in the field we have proposed and described an intelligent semantic oriented agent based search engine including the concepts of intelligent graphical user interface, natural language based information processing, data management and data reconstruction for the final user end information representation.  

## Keywords

Agent, Information Engineering, Search, Semantic  

## 1. **Introduction**

These days software industry is facing four major problems related to the software product development and data management .i.e., User System Communication / Human Machine Interface, Meta Data extraction, Information processing & management and Data representation. Within the User system communication user can be natural or a digital system. In case of a digital system, the input data will be the electronic or digital and most probably be defined in limits which can easily be recognized, analyzed and processed by the system. Whereas if the system is natural then the input data will most probably be logical and natural language based which is quite difficult to handle because of the high complexity level depending on the random and variable change. To process any natural language based instruction its very important to first understand the semantic of instruction, and to understand the semantic Meta data has to be extracted from data, hidden information must be analyzed, processed and managed. In the end, the final output must be presented in bold, clear and understandable format.  
Unfortunately regardless of having enough research and development in graphical user interface development but still right now there is no as such intelligent graphical user interface developed which claims of having the ability to  intelligently communicate with user and flexible enough so then it can easily be handled and redesigned according to the need by user itself. Moreover if we go in to the details of Meta Data Extraction and Information processing & management problems, then we come to know that there is nothing like a search engine available which can completely extract the Meta data from data, analyze the semantic of any natural language based instructions using the given context of a domain specific problem, process, manage and present resultant data to natural user in bold, clear and understandable format.