Extracting and Reducing the linguistics info Content of Web Documents to Support linguistics Document Retrieval

Abstract

Ranking and optimisation of net service compositions represent difficult areas of analysis with significant implication for realization of the “Web of Services” vision. The linguistics net, wherever the linguistics information is indicated mistreatment machine-process ready language like the net metaphysics Language (OWL) “ Semantic net service” use formal linguistics description of web service practicality and alter machine-controlled reasoning over net service compositions. These linguistics net services will then be mechanically discovered, composed into a lot of advanced services, and dead. Automating net service composition through the utilization of linguistics technologies conniving the linguistics similarities between outputs and inputs of connected constituent services, and aggregate these values into a live of linguistics quality for the composition. It propose a unique and protrusible model balancing the new dimensions of linguistics quality ( as a functional quality metric) with QoS metric, and mistreatment them together as a ranking and optimisation criteria. It also demonstrates the utility of Genetic Algorithms to permit optimization at intervals the context of an outsized variety of services foretold by the “Web of Service” vision. To reduce the linguistics of the net documents then to support semantic document retrieval by mistreatment Network metaphysics Language (NOL) and to boost QoS as a ranking and optimization.

Keywords: Data mining and warehousing, xml web application, database

Cite this Article
Hema Priya, Satya Sree, Narasimha Reddy. Extracting and Reducing the Linguistics Info Content of Web Documents to Support Linguistics Document Retrieval. Journal of Web Engineering & Technology. 2015; 2(1): 10–18p.