现代社会的不断进步离不开科技的发展，而科技发展与各个学科理论发展紧密相连。大学以及各研究机构是学科理论与技术萌芽、发展的重要场所，学科专家更是各个学科建设的主要力量。在科研和教学的过程当中，研究者需要了解理论的内涵，而了解理论的沿革将更有助于研究者把握学科的全貌，使其理论理解得更为透彻。现有的学科知识库基本只包含领域知识，而不能将领域知识的发展过程很好的展现给使用者，也忽略了学科著名专家、机构、学术成果等相关知识，这不利于初学者很好的把握学科全貌，也不利于学科专家对理论的检索使用。 对于学科发展而言，一个能够描述学科知识的内涵、发展沿革以及学科发展相关的著名专家、机构的知识图谱的构建是十分必要的。传统领域知识库无法满足对学科发展的叙述。基于以上的需求分析，本文引入知识图谱与本体技术，致力于构建一个以理论知识发展脉络为主体，同时包含学科专家、机构、学术成果等相关知识的知识图谱，以促进学科的教学和科研活动。 知识图谱的概念由谷歌于2012年提出，它以结构化的形式来描述客观世界中概念、实体及其之间的关系。本体是知识图谱的知识表示基础。本文利用本体构建的七步法实现了学术知识图谱框架的构建。在此过程中首先对学术知识图谱的要素进行了分析，其次对现有通过W3C检验的本体PROV、FOAF、BIBO、ORG、SKOS进行了介绍和分析，选取对学术知识图谱需求的相关术语，复用现有本体中的一系列概念术语，定义类与类之间的关系以及属性，构建了一个应用本体——学术本体。为了验证本文提出的学术知识图谱框架的有效性，本文抽取了图书情报学相关实例，使用手动和自动化的方法将实例输入学术本体中，通过构建描述图书情报学理论发展的知识图谱，以及对图书情报学知识图谱进行应用探究，验证了本文构建的学术知识图谱框架的有效性以及学术本体的可复用性。学术本体的复用是不局限于某一单独领域的，使用者可通过将不同的理论实例输入本体的方式将此本体复用于其他学科领域，从而构建出对应学科的学术知识图谱。

Nowadays, with the development of science and technology, modern society is continuously improving. Thus , the development of science and technology is closely linked to the development of theories of various disciplines. Universities and multiple research institutions do benefits to budding theories, which help technologies develop in a high speed process. The subject experts are the main force in the construction of various disciplines. In the process of scientific research and teaching, researchers need to understand the connotation of the theory. This will help understand the evolution of the theory and give researchers opportunities to grasp the whole picture of the subject and comprehend the theory more thoroughly. The existing subject knowledge basically contains specific knowledge attribute to different domains, which cannot show the developing process of domain knowledge and the relevant knowledge of famous experts, institutions, academic achievements, etc. It is not only ineffective for beginners to have a good grasp of the overall picture of the subject, but also not conducive to the use of theoretical search by subject experts. For the development of disciplines, it is necessary to describe the connotation, development history and discipline development of the subject knowledge. It is also essential for researchers to build a knowledge base of famous experts and institutions. The traditional domain knowledge base cannot satisfy the narrative of the development of the discipline. Based on the requirements analysis above, the author introduces knowledge graph and ontology technology, and is committed to construct a knowledge graph with the development of theoretical knowledge as the main body, including subject experts, institutions, academic achievements and other related knowledge. The knowledge graph can promote the teaching and research activities of the discipline. The concept of knowledge graph was proposed by Google in 2012. It describes the concepts, entities and their relationships in the objective world with a structured form. The ontology is the basic knowledge representation of the knowledge graph. This paper uses the seven-step method of ontology construction to analyze academic knowledge graph. First of all, the author analyzes the elements of academic knowledge graph. Secondly, it introduces and analyzes the existing ontologies such as PROV, FOAF, BIBO, ORG, SKOS through W3C. The article lists the terminology of academic knowledge graph requirements and reuses some conceptual terms of existing ontologies. On the basis of these two points, the author defines the relationship between various classes and their attributes. In order to verify the validity of the academic knowledge graph framework proposed in this paper, the author extracts relevant examples of library science information science and then import these examples into academic ontology by manual and automatic method. The author constructs a knowledge graph describing the development of library and information theory, which verifies the validity of the academic knowledge graph framework constructed in this paper and at the same time verifies the reusability of academic ontology. Ontology reuse is not limited to a single domain. The import of different theoretical examples by the user can be used to reuse this ontology in other subject areas to construct an academic knowledge graph of other disciplines.