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Modi, Nilesh K.
- Planning and Implementation of Knowledge Grid in Indian Context
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National Journal of System and Information Technology, Vol 2, No 1 (2009), Pagination: 42-53Abstract
There is a general opinion that providing internet access to colleges will result in the delivery of better quality education to greater numbers of students. But this expectation is not realized in practice. In academic institutions more number of students are wasting time on accessing email and browsing irrelevant sites. It reduces the quality of education because most of them are confused by using the pool of unstructured information on the web. In this context, Knowledge Grid is a well structured framework that takes inputs from number of domain experts. The said prototype model in this paper attempts to take up the challenges of appropriate use of IT infrastructure in the field of education using a knowledge enabling approach.Keywords
OLE, AGS, TransnetReferences
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- Creating Web Unite of Web Communities and Derive Astonishing Information from Web Unite
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National Journal of System and Information Technology, Vol 2, No 2 (2009), Pagination: 147-157Abstract
The Web harbors a large number of communities - groups of content-creators sharing a common interest - each of which manifests it self as a set of interlinked Web pages. New groups and commercial Web directories together contain of the order of 20,000 such communities; our particular interest here is on particular topic based communities. There is a type of information called Unexpected Information, which is of great interest. Finding unexpected information is useful in many applications. For example, it is useful for a company to find unexpected information about its competitors, e.g., unexpected services and products that its competitors offer. With this information, the company can learn from its competitors and/or design counter measures to improve its competitiveness. The research tries to form a group of common objective web sites and then derive information by comparing those web sites. The research proposes a methodology through which we can group all those same type of web sites and can find out some unexpected information from it.Keywords
Web Unite, Web Mining, Information ExtractionReferences
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