Integrating Semantic Web with Knowledge Management Agent

This paper is about the fundamental of a Semantic Web Service system. This system
is always related to a search engine. By integrating semantic web with a knowledge
representation agent, this will help user to reduce the searching time, as the agent will
classify the output of their search using this web service. Besides, by having such
system it also can ease the user in form of interacting with the data and to appreciate
the data management and knowledge management. Having a Semantic web is quite
important as Semantic web will be a platform, where the knowledge management
(KM), will applied and perform their task in doing the classification of the data.
Semantic web need to be constructed in user-friendly environment in which user can
use the Semantic web as a channel to transfer knowledge from user to the system. The
construction of semantic web require a certain framework and language as a tools,
this will add value to the database as it will query the related web link in a particular
manner. Beside, semantic web will also include URI as its framework, and one of the
URI been used is RDF (Resource Description Framework) in which Once information
is in RDF form, it becomes easy to process it, since RDF is a generic format, which
already has many parsers. In addition, this will satisfied the last objective of building
the semantic web. The need of semantic web service are based on the problem faced
by user as when they use any search engine to obtain some information, the output of
the search will produce the result in a general form. Besides, the problem with the
majority of data on the Web that is in this form now is that it is difficult to use on a
large scale, because there is no global system for publishing data in such a way as it
can be easily processed by anyone. The vision of Semantic Web envisage the web
enriched with several domain ontologies, which specify formal semantic of data and
that can be used for different intelligent service, like information research, retrieval,
and transformation. The suitable methodology to be used is waterfall model as it
provides flexibility on developing this semantic web.
in