Nowadays, our everyday communication is changing very fast, and drifting growingly towards the communication between human and computer, which gives rise to the establishment of such systems that provide a clear and easily manageable user interface for a common user. In order to handle these claims, the possibility of using natural languages in computer systems has recently emerged, but their complexity does unfortunately hinder their plain and simple accomplishment and interpretation with the available tools. Accordingly, controlled natural languages were created with compromise, in order to satisfy the upcoming demands.
Additionally, our daily environment is characterized by expansively extending flow of information and excessively complex rule systems. However, significant percentage of information – used by the Internet, and by some of these systems – is stored in an unstructured form. So, the demand for systems that transform informations into specified structures – in order to help users to browse these data – seems to be warranted. Furthermore, there are also legitimate demands on creating expert systems that can communicate constantly with the users, and can get them advised on making decisions by the reachable knowledge.
In my thesis, I aim at analysing the adaptibility of structuring available documents and also the feasibility of controlled natural languages, regarding the Legal Expert Systems. I wished to create and present a browser for references to laws by using a controlled natural language on structured data.
Foremost, I discuss the relevant background knowledge that was required to address the task and to create the browser. After the introduction, I describe the process of transforming unstructured documents into a specified form, and then demonstrate the steps of creating the browser based on controlled natural language using these structured documents. Finally, I summarize my results and point out some onward implications and possible development of my work.