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.
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.
In this paper focusing on above discussed problems in section 2 we present an architecture based conceptual solution. Moreover briefly describe its components in sections 2.1, 2.2, 2.3 and 2.4 of the paper. In the end we conclude the discussion in section 3 and present some future aspects in section 4 of the paper.
Keeping eye on above already discussed four major and very important aspects to be considered before and during the development of most of the software products . Every product whether is software or hardware has a user interface for user system communication, here in our proposed architecture of I-SOAS the first component is also the User Interface .i.e., IUI. We have tried to improve concept of User Interface to Intelligent User Interface (IUI) described in detail in section 2.1 of the paper. Considering the concepts of compiler construction of any software programming language we have tried to introduce a new concept of information processing and semantic modelling discussed in detail in section 2.2 of paper. Then following the already available well matured data warehousing concepts to store and manage data we have designed our third component for data management, briefly described in section 2.3 of paper. Then to reconstruct the final output of the system in user’s understandable format, we have designed the last component of I-SOAS presented in section 2.4 of paper.
Intelligent User Interface (IUI) is the first component of I-SOAS with respect to the user and system communication’s point of view. This component is responsible for the intelligent communication between user and the system. IUI is proposed as an intelligent dynamic user interface which is be capable of first analyzing the source of input, forwarding inputted data for further processing and responding back to user with end results in the same input format. Moreover IUI is supposed to be flexible enough so then it can be redesigned by user itself.
To implement the IUI system architecture as shown in Figure .2 IUI is divided into two main categories .i.e., Graphical User Interface and Communication Sources. In Communication Sources first the corresponding user is identified to enable the correct communication mode. If it is a digital system then electronic data communication mode is enabled and if it is natural system then natural language based communication mode is enabled. Whereas the Graphical User Interface is consists of the concept of three sub categories .i.e., Intelligent, Flexible and Agent to intelligently handle the user’s requests, provide multiple options to redesign the graphical user interface according to the ease of the user by user itself and perform internal architectural component’s agent based communication.
Information Processing unit is the most important component of the I-SOAS, the quality of its performance depends upon the accuracy in the results of this component. The overall job of IP is divided into five main iterative sequential steps .i.e., data reading, tokenization, parsing, semantic modelling and s
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