2023:Program/Technology/KVB9ED-Empowering Wikidata and Wikipedia with Generative AI: Unlocking the Potential of Scholarly Publications
Title: Empowering Wikidata and Wikipedia with Generative AI: Unlocking the Potential of Scholarly Publications
Speakers:
Houcemeddine Turki
Houcemeddine Turki is a medical student at the University of Sfax, Tunisia, and a research assistant at the Data Engineering and Semantics Research Unit, University of Sfax, Tunisia. His research spans several interdisciplinary fields, including Biomedical Informatics, Library and Information Science, Semantic Technologies, Open Science, and Applied Linguistics. With a passion for open science, he is a dedicated contributor to Wikimedia Projects, particularly Wikipedia and Wikidata, and has held leadership roles within the Wikimedia community, including Vice-Chair of the Wikimedia Tunisia User Group (2020-2022), Board member of the Wikimedia and Libraries User Group (2019-2021), and member and advisor to the Affiliations Committee of the Wikimedia Foundation (2021-2023). Houcemeddine has played an active role in organizing several Wikimedia community conferences, such as Wikimania (2022) and WikiIndaba Conference (2018, 2020, and 2021), and is committed to advancing the mission of open access and open knowledge sharing for all.
Room: Room 311
Start time: Fri, 18 Aug 2023 16:10:00 +0800
End time: Fri, 18 Aug 2023 16:30:00 +0800
Type: Lecture
Track: Technology
Submission state: confirmed
Duration: 20 minutes
Do not record: false
Presentation language: en
Abstract & description[edit source]
Abstract[edit source]
Discover the power of generative AI with ChatGPT for enriching Wikidata with scholarly data and generating content for Wikipedia. This presentation explores the challenges of integrating structured data from scholarly publications, showcases the benefits of using AI for knowledge enrichment, and addresses ethical considerations. Learn about successful implementations and future directions in this exciting field.
Description[edit source]
In recent years, generative artificial intelligence (GAI) has shown remarkable progress in natural language processing, including language understanding and generation. One application of GAI that has gained attention is in enriching knowledge bases, such as Wikidata, with statements from scholarly publications, and generating high-quality content for Wikipedia articles.
In this presentation, we will explore how GAI, particularly ChatGPT, can be used to enrich Wikidata with structured data from scholarly publications. We will discuss the challenges of extracting and integrating data from scholarly publications, and how GAI can help overcome these challenges. We will also demonstrate how ChatGPT can generate high-quality content for Wikipedia articles, including biographies, history, and scientific topics.
We will also discuss the ethical considerations of using GAI for knowledge enrichment and content generation, and how to ensure accuracy and transparency in the process. Finally, we will provide examples of how GAI has been used to enrich Wikidata and create Wikipedia articles, and discuss future directions for this exciting field.
Further details[edit source]
Qn. How does your session relate to the event themes: Diversity, Collaboration Future?
The presentation on using generative artificial intelligence (GAI) to enrich Wikidata with data from scholarly publications and generate high-quality content for Wikipedia articles is closely related to the theme of Wikimania in several ways.
First, the presentation highlights the diversity of groups and cultures involved in enriching knowledge bases like Wikidata with structured data from scholarly publications. By using GAI to extract and integrate data from scholarly publications, diverse perspectives can be included in Wikidata, making it a more comprehensive and inclusive knowledge base.
Second, the presentation emphasizes collaboration between different volunteer groups, individuals, and affiliates in using GAI to enrich knowledge bases and generate high-quality content for Wikipedia articles. By sharing knowledge and expertise, Wikimedians can learn from each other and work collaboratively to improve the quality and diversity of information available on Wikipedia and other Wikimedia projects.
Finally, the presentation also looks toward the future of the Wikimedia movement and the role that GAI could play in achieving the goals of the 2030 Wikimedia Movement Strategy. By discussing the ethical considerations of using GAI for knowledge enrichment and content generation and providing examples of how GAI has been used to enrich Wikidata and create Wikipedia articles, the presentation highlights the potential of GAI to contribute to the future development of the Wikimedia movement.
Qn. What is the experience level needed for the audience for your session?
Everyone can participate in this session
Qn. What is the most appropriate format for this session?
Onsite in Singapore
Remote online participation, livestreamed- Remote from a satellite event
- Hybrid with some participants in Singapore and others dialing in remotely
- Pre-recorded and available on demand
