- Kurdish Language Processing: Develop natural language processing (NLP) pipelines tailored specifically for the Kurdish language, enabling machines to comprehend and process Kurdish text effectively.
- Ontology Development: Create and refine Kurdish ontologies that serve as foundational knowledge bases for various applications, enabling more accurate information retrieval and reasoning.
- Linked Data and Knowledge Graphs: Research and implement methods for linking Kurdish data across the web, creating interconnected knowledge graphs that support advanced semantic web applications.
- Semantic Applications: Develop and deploy intelligent applications leveraging semantic technologies for tasks such as document clustering, information retrieval, and question-answering systems, all within the context of the Kurdish language.
- Capacity Building and Collaboration: Promote the adoption and evolution of semantic web technologies through collaborations with academic and industrial partners, and by training the next generation of researchers and practitioners.
- Community Engagement: Contribute to the global semantic web community through publications, workshops, and open-source projects, ensuring that the Kurdish language is represented in the evolution of these technologies.