The recent developments in the research area highlight a significant shift towards leveraging computational ontologies and semantic technologies to address complex challenges across various domains. A notable trend is the application of these technologies in education, where ontologies are being developed to conceptualize the social determinants of education, aiming to bridge the gap between students' life circumstances and their educational achievements. Similarly, semantic annotation activities are being enhanced through formal concept analysis, enabling a more structured and insightful annotation process that benefits both annotators and domain experts.

In the realm of language processing, there's a growing emphasis on overcoming language barriers and enhancing accessibility to historical documents. This is exemplified by the development of tools for processing Korean historical documents in Hanja, which not only aids in understanding and translating these documents but also facilitates their preservation and dissemination. Furthermore, the field is witnessing advancements in open information extraction, particularly in expanding resources for less-represented languages like Portuguese, thereby broadening the scope and applicability of information extraction technologies.

Another critical area of progress is in the development of open geographical data infrastructures, especially in regions like Latin America, where such initiatives are fostering greater transparency, citizen engagement, and evidence-based decision-making. Lastly, the integration of frame semantics into automatic fact-checking represents a novel approach to combating misinformation, offering a more structured and effective means of verifying claims.

Noteworthy Papers

• An Ontology for Social Determinants of Education (SDoEd) based on Human-AI Collaborative Approach: Introduces a pioneering SDoEd ontology, developed with AI assistance, to conceptualize the impact of life circumstances on educational outcomes.
• HERITAGE: An End-to-End Web Platform for Processing Korean Historical Documents in Hanja: Presents the first open-source Hanja NLP toolkit, significantly lowering the barrier to understanding and translating Korean historical documents.
• Automatic Fact-Checking with Frame-Semantics: Proposes a novel fact-checking paradigm using frame semantics, demonstrating its effectiveness in improving evidence retrieval and combating misinformation.