KM System Evaluation using Four dimensional Metric Model, Database and RESTful Resources

Main Authors: D.Venkata Subramanian, Angelina Geetha, K.M. Mehata, K.Mohammed Hussain
Format: Article eJournal
Bahasa: eng
Terbitan: , 2012
Subjects:
Online Access: https://zenodo.org/record/3523969
ctrlnum 3523969
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>D.Venkata Subramanian</creator><creator>Angelina Geetha</creator><creator>K.M. Mehata</creator><creator>K.Mohammed Hussain</creator><date>2012-09-25</date><description>A Knowledge Management (KM) System plays a crucial role in every industry as well as in Higher Learning Institutions. A RESTful resource is anything that is addressable over the Web. The resources can be accessed and transferred between clients and server. The resources can be accessed and transferred between clients and servers. Based on our earlier research works, we have developed a comprehensive KM System framework, evaluation method, mult-dimensional metric model and useful metrics which are helpful to assess any given knowledge management system. In this proposed work, we first describe the actual implementation steps for building the KM System metric database using the multi-dimensional metric model. Secondly we describe the approaches for designing a multi-dimensional Restful Resources and Web Services using the mutli-dimensional metric model and demonstrate how the KM system can be ranked and rated for its effectiveness using WAM and RESTful Resources.</description><identifier>https://zenodo.org/record/3523969</identifier><identifier>10.5281/zenodo.3523969</identifier><identifier>oai:zenodo.org:3523969</identifier><language>eng</language><relation>doi:10.5281/zenodo.3523968</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><source>International Journal on Web Service Computing (IJWSC) 3(3) 17-28</source><subject>Knowledge Management Systems (KMS)</subject><subject>Metrics Model</subject><subject>KM Metrics</subject><subject>Multi-dimensional model</subject><subject>Evaluation</subject><subject>Metrics Database</subject><subject>Ranking</subject><subject>Rating</subject><subject>Weighted Average Mean(WAM)</subject><subject>RESTful Resources</subject><title>KM System Evaluation using Four dimensional Metric Model, Database and RESTful Resources</title><type>Journal:Article</type><type>Journal:Article</type><recordID>3523969</recordID></dc>
language eng
format Journal:Article
Journal
Journal:eJournal
author D.Venkata Subramanian
Angelina Geetha
K.M. Mehata
K.Mohammed Hussain
title KM System Evaluation using Four dimensional Metric Model, Database and RESTful Resources
publishDate 2012
topic Knowledge Management Systems (KMS)
Metrics Model
KM Metrics
Multi-dimensional model
Evaluation
Metrics Database
Ranking
Rating
Weighted Average Mean(WAM)
RESTful Resources
url https://zenodo.org/record/3523969
contents A Knowledge Management (KM) System plays a crucial role in every industry as well as in Higher Learning Institutions. A RESTful resource is anything that is addressable over the Web. The resources can be accessed and transferred between clients and server. The resources can be accessed and transferred between clients and servers. Based on our earlier research works, we have developed a comprehensive KM System framework, evaluation method, mult-dimensional metric model and useful metrics which are helpful to assess any given knowledge management system. In this proposed work, we first describe the actual implementation steps for building the KM System metric database using the multi-dimensional metric model. Secondly we describe the approaches for designing a multi-dimensional Restful Resources and Web Services using the mutli-dimensional metric model and demonstrate how the KM system can be ranked and rated for its effectiveness using WAM and RESTful Resources.
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