Querying Knowledge Graphs in Greek Language

Abstract

We present a method for querying knowledge graphs through natural language, emphasizing its application to the Greek language. It integrates NLP techniques with the capabilities of graph databases to enable seamless interaction with knowledge graphs through natural language queries. Upon receiving a user's question in Greek language, we use linguistic analysis tools to convert it into a graph structure by employing predefined rules and adhering to a graph database schema. This methodology enables the handling of different question types and the efficient extraction of relations, ensuring accurate mapping of linguistic structures to database queries. The representation of a question as a knowledge graph enables its direct translation to a Cypher query, facilitating the extraction of related answers. The approach can handle complex questions and is language independent.