| Autor: |
Giannis Vassiliou, Georgia Eirini Trouli, Georgia Troullinou, Nikolaos Spyridakis, George Bitzarakis, Fotini Droumalia, Antonis Karagiannakis, Georgia Skouteli, Nikolaos Oikonomou, Dimitra Deka, Emmanouil Makaronas, Georgios Pronoitis, Konstantinos Alexandris, Stamatios Kostopoulos, Yiannis Kazantzakis, Nikolaos Vlassis, Eleftheria Sfinarolaki, Vardis Daskalakis, Iakovos Giannakos, Argyro Stamatoukou, Nikolaos Papadakis, Haridimos Kondylakis |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Applied Sciences, Vol 14, Iss 17, p 7640 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2076-3417 |
| DOI: |
10.3390/app14177640 |
| Popis: |
The exponential growth of Knowledge Graphs necessitates effective and efficient methods for their exploration and understanding. Frequently Asked Questions (FAQ) is a service that typically presents a list of questions and answers related to a specific topic, and which is intended to help people understand that topic. Although FAQ has already shown its value on large websites and is widely used, to the best of our knowledge it has not yet been exploited for Knowledge Graphs. In this paper, we present ULYSSES, the first system for automatically constructing FAQ lists for large Knowledge Graphs. Our method consists of three key steps. First, we select the most frequent queries by exploiting the available query logs. Next, we answer the selected queries, using the original graph. Finally, we construct textual descriptions of both the queries and the corresponding answers, exploring state-of-the-art transformer models, i.e., ChatGPT 3.5 and Gemini 1.5 Pro. We evaluate the results of each model, using a human-constructed FAQ list, contributing a unique dataset to the domain and showing the benefits of our approach. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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