A Graph Oriented: Text Database for Knowledge Exposure
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 8
Abstract
While we hope to find information in the writings accessible on the Web, such revelation more often than not requires numerous perplexing examination steps, the vast majority of which require different content taking care of operations, for example, comparable content inquiry or content grouping. Drawing a similarity from the relational, we master represent a content representation display that simplifies the strides. The model speaks to writings in a formal way, Subject Graphs, depicted, gives content taking care of operations whose inputs and yields are indistinguishable in structure, i.e. an arrangement of subject graphs. We build up a graphs based content database, which depends on the model, and an intuitive information disclosure framework. Trials of the framework demonstrate that it permits the client to intelligently and naturally find information in Web pages by consolidating content taking care of operations defined on subject graphs in different requests.
Authors and Affiliations
Navneet Kr. Kashyap
Keywords
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