ULYSSES: Demonstrating Automated FreqUentLY ASked QueStions for KnowlEdge GraphS
摘要
The exponential growth of knowledge graphs necessitates effective and efficient methods for their exploration and understanding. Frequently Asked Questions (FAQ) is a list of questions and answers related to a specific topic intended to help people understand a particular subject. In this demonstration, we present ULYSSES, the first system for automatically constructing a FAQ for large Knowledge Graphs. Our method consists of three key steps. First, we select the most frequent queries by exploiting available query logs. Next, we answer the selected queries using the original graph and finally, we construct textual descriptions of both the queries and the corresponding answers by exploring state-of-the-art transformer models, i.e., ChatGPT and Gemini. In the demonstration, we explain the various steps and allow conference participants to test the system in real time and identify its usefulness.