Development of a System Based on a Fuzzy Knowledge Base Filled from Various Formats Documents

Abstract

The article describes the fuzzy knowledge base developing process. The fuzzy knowledge base content represents a knowledge extracted from set of various documents by subject area. Set of documents contains of the wiki-resources, uml-diagrams, text documents and projects source code. A fuzzy knowledge base was implemented on the Neo4j database. An attempt to implement the mechanism of logical inference based on concepts, relationships and rules of a graph database was made. This mechanism is used for generate the screen forms of the user interface dynamically. The contexts allow to represents the content of the fuzzy knowledge base in space and time. Each unique context was assigned as a linguistic label, for example, low, middle, high. This label determines the competence of the expert in the subject area. Time contexts allows storing the history of knowledge base content changes. It allows holding and obtaining a specific state of the knowledge base contents.