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As the amount of data on the World Wide Web continues to grow exponentially,access to semantically structured information remains limited. The Semantic Webhas emerged as a solution to enhance the machine-readability of data, making itsignificantly more accessible and interpretable. Various techniques, such asweb scraping and mapping, have been employed by different websites to providesemantic access. Web scraping involves the extraction of valuable informationfrom diverse data sources, such as the World Wide Web, utilizing powerfulstring manipulation operations.In the research field, researchers face thechallenge of collecting relevant data from multiple sources, which requiressubstantial time and effort. This research aims to address this issue bydesigning a framework for the semantic organization of research portal data.The framework focuses on the extraction of information from two specificresearch portals, namely Microsoft Academic and IEEE Xplore. Its primaryobjective is to gather diverse research-related data from these targetedsources.By implementing this framework, researchers can streamline the processof collecting valuable information for their work, saving time and effort. Thesemantic organization of research portal data offers enhanced accessibility andinterpretability, facilitating more effective and efficient knowledgediscovery. This research contributes to the advancement of research datamanagement and promotes the utilization of semantic web technologies in theacademic community.

A Responsive Framework for Research Portals Data using Semantic Web Technology