%0 Journal Article %1 noauthororeditor %A Subramanian, D.Venkata %A Geetha, Angelina %A Mehata, K.M. %A Hussain, K.Mohammed %D 2012 %J International Journal on Web Service Computing (IJWSC) %K (KMS) Average Database Evaluation KM Knowledge Management Mean(WAM) Metrics Model Multi-dimensional RESTful Ranking Rating Resources Systems Weighted model %N 3 %P 17-28 %R 10.5121/ijwsc.2012.3302 %T KM System Evaluation using Four dimensional Metric Model, Database and RESTful Resources %U http://airccse.org/journal/jwsc/papers/3312ijwsc02.pdf %V 3 %X 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.

@article{noauthororeditor, abstract = {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. }, added-at = {2020-11-12T05:32:23.000+0100}, author = {Subramanian, D.Venkata and Geetha, Angelina and Mehata, K.M. and Hussain, K.Mohammed}, biburl = {https://www.bibsonomy.org/bibtex/2aaacb7dcb4969a398d76190824274099/ijwsc}, doi = {10.5121/ijwsc.2012.3302}, interhash = {69c9e22694b1919667045dc1b61a70d9}, intrahash = {aaacb7dcb4969a398d76190824274099}, issn = {0976 - 9811 (Online); 2230 - 7702 (print)}, journal = {International Journal on Web Service Computing (IJWSC)}, keywords = {(KMS) Average Database Evaluation KM Knowledge Management Mean(WAM) Metrics Model Multi-dimensional RESTful Ranking Rating Resources Systems Weighted model}, language = {English}, month = {September}, number = 3, pages = {17-28}, timestamp = {2020-11-12T05:32:23.000+0100}, title = {KM System Evaluation using Four dimensional Metric Model, Database and RESTful Resources}, url = {http://airccse.org/journal/jwsc/papers/3312ijwsc02.pdf}, volume = 3, year = 2012 }