In the era of artificial intelligence and at a time when most processes are automated, there is ongoing debate in society about whether artificial intelligence really helps in conducting research or, on the contrary, harms it. In recent years, we have seen scientometrics databases integrate artificial intelligence into their platforms. In this article, we will have a look at the Scopus AI tool and how it helps optimise a scientist's research work.
Artificial intelligence in Scopus
Scopus AI is a search tool that uses generative artificial intelligence (GenAI) to significantly improve the capabilities of the Scopus search engine. In 2023, after a test launch, the full version became available in 2024.
The development process of Scopus AI and its uniqueness
Scopus AI is a special tool designed to help users learn about new topics more effectively. According to surveys, 60% of Scopus users are interested in it. Thousands of researchers, librarians, etc. from different countries participated in the development and testing of the tool. Their feedback formed the basis for the creation of RAG Fusion technology, which significantly improves the accuracy of search results and the quality of generated responses.
The tool works exclusively with metadata from scientific articles and materials from the Scopus database published before 2003. This makes it possible to find the most relevant publications from the publishers represented in the system. In addition, the database is updated in near real time, providing users with constant access to the latest information.
Key features of Scopus AI
- A reliable tool for selecting a topic for future research. Scopus AI can analyse large amounts of scientific material from the database in a matter of seconds and suggest relevant areas for further research. In addition, the tool can highlight specific areas that are in demand among the scientific community.
- Search process optimisation. Researchers can find the most relevant scientific materials in a systematic format that best matches their query in a matter of seconds.
- Verified materials. Scopus AI provides access only to verified materials indexed in the Scopus database.
- Concept maps. The tool generates interactive concept maps, allowing researchers to effectively familiarise themselves with the necessary topic and its connection to other areas.
- Answer generation. The service creates research summaries, providing recommendations on leading works and researchers.
- Search for co-authors. Scopus AI analyses more than 21.9 million author profiles to identify the best researchers in their fields.
Content types and processing principles in Scopus AI
To generate a response, Scopus AI uses only metadata, abstracts, and author profiles. The final analysis takes into account the following content categories:
- books
- articles
- book chapters
- reports
- reviews
- conference proceedings
- short surveys
- data documents
Additional measures have also been taken to include retracted articles. Conference reviews and corrections are not taken into account. In addition, Scopus AI works with the entire Scopus database and selects the most appropriate time period depending on the specific query. For example, when searching for key works, the system analyses the entire publication database to provide the most comprehensive overview of the main and influential studies on the selected topic.
Principles of responsible artificial intelligence in Scopus
- The real impact of decisions on people is taken into account.
- Measures are taken to prevent the creation or reinforcement of unfair biases.
- The ability to explain the principles of how decisions work is ensured.
- Accountability is created through human oversight.
- Privacy is respected and reliable data management is upheld.
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