Abstract
For intellectual activity in the time of information explosion, it is necessary to explore a lot of documents obtained from open sources of the Internet. The object of research is the interface and structure of the information system. This system allows to reduce the processed information flow by filtering documents. The filtration is based on the documents set clustering. This method is seldom used due to the complexity of the user interface.To solve this problem, it is proposed to use the mind map view for visualizing the clustering results. The cluster hierarchy automatically creates the initial graph of the map nodes. The binary graph of the clustering results will automatically transform to the n-ary graph tree. The n is no more than the Yngve-Miller's number and should be determined by the user. The user also controls the mapping of clusters to the mind map, using SQL-queries.The structure of the information system is determined. This system uses free software solutions as its integral parts. Neural network subsystem is required to adapt to the specific user needs.A prototype of the mind map user interface is developed. It is made in JavaScript and is represented as a web page. A list of the main use cases for implementation in the MVP (the minimum viable product) is given.
Highlights
The amount of information created and processed by the humankind is continuously growing
This article presents the structure of the information system, which is designed to improve the processing efficiency of large information flows
The system consists of three parts, which implements such tasks: obtaining documents from sources, clustering documents, displaying clusters with a mind map
Summary
The amount of information created and processed by the humankind is continuously growing. This phenomenon was named «the information explosion». It was realized as an actual problem in the last century. The main part of information flows passes through the Internet. A significant part of Internet channels is built on the «Web 2.0» ideology. The audience of Facebook, Twitter, and other social networks is growing all over the world. The Internet network was initially created for using links between HTML-pages. The ability to browsing through links often leads to significant losses of working time. Cutting out irrelevant pages will reduce the time lost and increase productivity. In order to avoid showing irrelevant documents, first, we need to automatically evaluate the relevance (usefulness) of documents
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