Scientometric databases are actively implementing artificial intelligence technologies to facilitate the work of scientists in conducting research. Not long ago, Web of Science announced the introduction of the next wave of artificial intelligence called Agentic AI. In addition, a new version of the Web of Science Research Assistant literature review guide has been released. Today we will talk about the new opportunities that scientists have gained in connection with the innovation.
Web of Science Research Assistant
Web of Science Research Assistant is a modern tool developed using generative artificial intelligence technologies that greatly facilitates access to the necessary information and the performance of complex scientific tasks. It supports the researcher throughout the research process, dynamically responding to changing needs and providing assistance at every stage of the research process.
Features of Web of Science Research Assistant
- Ethical application of AI. Developed in collaboration with researchers, this tool complies with the principles of ethical and responsible use of artificial intelligence in science.
- Intelligent search engine. Instead of formulating complex queries, focus on analysing the data you find – the tool simplifies the search, interpretation, and review of relevant scientific literature.
- Focus on research goals. Clear guidance and context-sensitive hints help you solve complex research problems and open up new areas of research.
- Verified information base. The tool uses verified sources from the Web of Science Core Collection, providing high-quality analytics to improve the efficiency of scientific research.
- Transparent algorithms and control. Users can track the process of creating AI responses, taking into account copyright and licensing requirements.
- Joint development. The tool was created with the participation of the scientific and library community, which ensures its practical relevance and trust among researchers.
Web of Science: Agentic AI
The introduction of Agentic AI technology in Web of Science Research Assistant has significantly improved the process of conducting a literature review - the tool provides a fast and accurate analysis of complex scientific queries. This helps to systematise scientific data more effectively and identify the main points, while the researcher retains the key role in drawing conclusions.
Agentic AI belongs to a new generation of artificial intelligence that allows the Web of Science platform to more effectively support research activities, particularly in complex interdisciplinary projects. Clarivate has also introduced an updated tool – Literature Review 2.0 as part of the Research Assistant.
This updated functionality, based on smart analysis and logic modelling technologies, allows researchers to quickly adapt search strategies, accurately formulate research objectives, and effectively manage the information they collect.
What are the benefits of Agentic AI for scientists?
- Work with proven scientific resources. Agentic AI uses reliable databases, including the Web of Science Core Collection, which ensures the high quality and reliability of the information it offers.
- Clear decision-making process. Artificial intelligence explains the logic of its conclusions, provides sources of information, and justifies the chosen approaches, which increases the level of trust and facilitates the interpretation of results.
- Multi-stage thinking and flexibility in actions. Agentic AI demonstrates the ability to plan and implement complex research tasks, changing its approach in accordance with new requirements and circumstances in the process.
- Dynamic interaction with a researcher. Instead of providing one-off answers, the agent conducts consistent communication, clarifies research goals, forms assumptions, and discusses methodological aspects, which helps to achieve deeper results.
- Personalised approach to source analysis. The agent compiles literature collections according to the research topic, identifies unresolved issues, analyses current trends, and helps to create a structured and high-quality review.
What does Agentic AI allow researchers to do?
Refining the research query
Agentic AI performs an initial analysis of the research question, suggesting its refinement if necessary. It is able to identify relevant subtopics, which allows narrowing the focus of the research and increasing its targetedness.
Optimisation of the search strategy
Once the query is refined, the agent builds an effective search model by identifying the main topics, keywords, synonyms and related concepts. The user can change these parameters, set time limits, or expand the search scope as needed.
Generating the expected result
Based on the agreed parameters, Agentic AI offers a draft structure for a future report or review. The structure is flexible: the user can remove unnecessary parts, set the desired amount of content for each section, or determine the number of items in the summary lists.
Clarivate is focused on supporting researchers by continuously improving its tools for daily research activities. The company introduces new features in close dialogue with the academic community, actively involving researchers in testing innovations and verifying their practical value. This approach ensures that the developments meet the current needs of science.
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