In recent years, the realm of academic data has experienced an unprecedented exponential growth. With the global count of academic papers surpassing 300 million and the number of academic researchers reaching 100 million, it's evident that this domain is expanding at an extraordinary pace. However, a striking limitation presents itself: a mere 3% of this vast academic data is endowed with semantic annotations. This glaring inadequacy in semantic annotation profoundly stifles both the potential of academic big data and its industrial applications.
To address this critical issue, the Open Academic Graph Challenge has been launched. This initiative is a direct response to the aforementioned challenges, dedicated to enhancing the presence of semantic annotations within the academic database. The overarching goal is to unlock improved capabilities for mining, comprehending, and generating semantic-rich scholarly data. By augmenting the semantic annotation information, this endeavor aims to propel the academic domain toward greater serviceability and foster its industrial advancement.