Academic libraries struggle to find and access faculty expertise across disciplines. This research proposes a faculty expertise ontology with a hierarchical structure based on Protégé to enhance library services and knowledge organisation. The ontology classifies relationships between departments, subject areas, faculty members, and contact data into layers including Top, Middle, and Bottom levels. The academic structure that this tiered form takes enables discovery of expertise in departments. The ontology which answers competency questions generated from the subject matter experts can answer real-world questions like which faculties are in the specific areas, how to collaborate with other disciplines and search contact information and so on. Competency questions act as design and test instruments to show that the ontology will fulfil the information needs of Researchers, Librarians and Administrators. The ontology is able to cope with semantically-enhanced queries, as shown by SPARQL implementations. The model works effectively in initiating referrals to an expert, aligning research with the strength of a department and allowing academics to partner up. The ontology delivers a scalable platform that adapts to institutional change. In the future, we intend to integrate with institutional databases and library systems for automatic API updates, as well as develop user interfaces and visualisations.

翻译：高校图书馆在跨学科领域查找和获取教师专长信息方面面临困难。本研究提出一种基于Protégé的层次化教师专长本体，以优化图书馆服务与知识组织体系。该本体将院系、学科领域、教师成员及联系数据间的关联关系划分为顶层、中层与底层三级结构。这种分层式学术架构有助于实现院系专业特长的系统性发现。通过回应领域专家生成的胜任力问题，该本体能够解答现实场景中的各类查询，例如特定领域有哪些教师、如何开展跨学科合作以及如何检索联系信息等。胜任力问题同时作为设计与测试工具，验证本体能否满足研究人员、图书馆员及管理者的信息需求。SPARQL实现案例表明，该本体能够有效处理语义增强型查询。该模型在专家推荐对接、研究方向与院系优势匹配以及学者合作促成等方面均展现良好效能。本体提供了可适应机构变革的扩展性平台。未来计划与机构数据库及图书馆系统集成，实现API自动更新，并开发用户界面与可视化模块。