The Role of Semantic Web Technologies in Improving Knowledge Management Systems

Gracie Shalom
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Abstract

Purpose: The general purpose of this study was to investigate the role of semantic web technologies in improving knowledge management systems. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to role of semantic web technologies in improving knowledge management systems. Preliminary empirical review revealed that that semantic web technologies significantly enhanced knowledge management systems across diverse industries, facilitating better organization, integration, and retrieval of knowledge resources. Adoption of these technologies addressed key challenges such as information overload and semantic heterogeneity, leading to increased discoverability, interoperability, and reuse of knowledge assets. However, successful implementation required considerations of factors like organizational readiness and user acceptance, necessitating investments in training, support, and change management strategies. Overall, semantic web technologies improved knowledge management practices and enhanced organizational competitiveness in the knowledge-driven economy. Unique Contribution to Theory, Practice and Policy: The Social Constructionism theory, Cognitive Load and Diffusion of Innovation may be used to anchor future studies on semantic web technologies. The study recommended that organizations invest in semantic web technologies for knowledge management, prioritize user-friendly KMS, foster a culture of collaboration, establish robust governance, and monitor KMS performance. These measures ensured effective knowledge sharing, decision-making, and innovation, enhancing organizational competitiveness and success.
语义网技术在改进知识管理系统中的作用
目的:本研究的总体目的是调查语义网技术在改进知识管理系统方面的作用。研究方法:本研究采用桌面研究方法。案头研究指的是二手数据或无需实地考察即可收集到的数据。案头研究基本上是从现有资源中收集数据,因此与实地研究相比,案头研究通常被认为是一种低成本技术,因为主要成本涉及执行人员的时间、电话费和目录。因此,本研究依赖于已出版的研究、报告和统计数据。这些二手数据可通过在线期刊和图书馆轻松获取。研究结果:研究结果表明,语义网络技术在改进知识管理系统方面的作用存在着背景和方法上的差距。初步实证审查显示,语义网技术大大增强了各行各业的知识管理系统,有助于更好地组织、整合和检索知识资源。这些技术的采用解决了信息超载和语义异构等关键挑战,提高了知识资产的可发现性、互操作性和重用性。不过,要成功实施这些技术,需要考虑组织准备程度和用户接受程度等因素,因此有必要在培训、支持和变革管理战略方面进行投资。总体而言,语义网技术改进了知识管理实践,提高了组织在知识驱动型经济中的竞争力。对理论、实践和政策的独特贡献:社会建构主义理论、认知负荷和创新扩散可用于今后对语义网技术的研究。研究建议各组织投资于知识管理的语义网技术,优先考虑用户友好型知识管理系统,培养协作文化,建立健全的治理机制,并监控知识管理系统的性能。这些措施确保了有效的知识共享、决策和创新,提高了组织的竞争力和成功率。
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