@article{3079,
  author = {Johnson Mulongo Masinde, Chen Jin},
  title = {A Knowledge Resource Management System (KRMS) for the Academic Community},
  journal = {International Journal of Web Applications},
  year = {2020},
  volume = {12},
  number = {3},
  doi = {https://doi.org/10.6025/ijwa/2020/12/3/79-84},
  url = {http://www.dline.info/ijwa/fulltext/v12n3/ijwav12n3_1.pdf},
  abstract = {Background: Knowledge management has emerged as a strategic priority for the academic community. The ubiquitous utilization of powerful computing technologies and collaborations across disciplines means the academic community can generate, use and share voluminous as well as different forms of knowledge resources around the clock; a phenomenon commonly referred to as the fourth paradigm or e-Science. Similarly, managing these value attached knowledge
resources in a form that can support complex hypermedia knowledge resources with their associated metadata and allow their improvement, ease in access, retrieval, sharing and collaboration and utilization has equally been challenging for the academic community.
Objective
This study fleetingly reports on the design of a Knowledge Resource Management System (KRMS) that can be used to bridge this gapat Maasai Mara University Library in Narok, Kenya.
Methodology The study assembles the know-how, expertize, experience, and computational solutions developed by research centers as well as institutions of higher learning to fashion an apt and all-inclusive Knowledge Resource Management System (KRMS) that can support complex hypermedia knowledge resources with their associated metadata at Maasai Mara University Library.
Results
An archetype of the Knowledge Resource Management system (KRMS) is being developed with very exciting features that could be a game changer in preservation, organization as well as management and utilization of complex hypermedia knowledge resources.
Conclusion
This study proposed an advanced Knowledge Resource Management system (KRMS) design that purposes to address the gap by employing novel features that can support complex hypermedia knowledge resources with their associated metadata. The novel features include the integration of technologies necessary for handling and managing complex hypermedia knowledge
resources in all the stages of information such as acquisition, text mining, indexing searches and leisure.},
}