Abstract：Serving the readers of scholarly documentsA grand challenge for the introspective digital library The scholarly literature produced by human civilization will soon be considered small dataable to be portably conveyed by the network and carried on personal machinesThis semi-structured text centric knowledge base is a focus of attention for scholars Retrieval and IndexingConsulting Serviceand Collection ClassificationThis is because the mentioned technologies and methods can be used to reflect on and improve the materials and functionalities of digital librariesThis passage mainly discusses how academic literature will be viewed as small data in the near futureThese semi-structured text-centered knowledge bases are the focus of scholars because the factsaspectsand connections in academic documents are richMachine analysis can gain insights from this knowledgeproviding valuable insights for policymakersacademiaindustrial managementand the scholar authors themselvesHoweverthere is a neglected community of academic document usersthe readers themselvesThe author calls for the community to provide more support to our scholarsespecially beginnersby using automated technologies for information retrieval and natural language processingTechniques for mining information from the full text of documents can be used to reflect on digital library materialsinfer better search metadataimprove academic document recommendation effectivenessand help understand the textchartsand diagrams in our academic literature