Ontology is the backbone of the semantic web. To apply
the semantic web concept, you should build ontology for
your domain. Building ontologies require cooperation
among domain experts to classify items in the domain,
specify properties, and determine rules for inferring new
information from the ontology. Once ontology was built,
stored in knowledge base system and published on the
web, an intelligent search engine or an inference engine
can query and make inference on this ontology. Also
ontology developers can reuse and extend this ontology. In
this paper we will show how we can build ontology for the
crop pests in the Agriculture domain, specify what the
benefits of this ontology are and how the query result is
more accurate than searching traditional web. In our
process we used the Ontology Web Language (OWL) [1]
as it is the most recent Ontology language proposed by
World Wide Web Consortium W3C (http://www.w3c.org)
and for its powerful features. Also we used protégé2000 as
Ontology Editor as it is suitable for OWL.

The breakup effect on the scattering and reaction of 4,6He±p, 12C, 40Ca and 6Li±p at energies of 50–800 MeV/nucleon has been studied in the framework of the eikonal approximation. The eikonal phase-shift functions have been calculated completely employing Monte Carlo integration. Realistic 6-nucleon wave functions for the 6He and 6Li nuclei have been used. The dynamic polarization potentials have been determined. We find that the breakup effect is minimal at an incident energy of 200 MeV/nucleon. At this energy, the imaginary part of the polarization potential changes sign (negative to positive with increasing energy). The real part of the polarization potential also changes sign (repulsive to attractive) around 400 MeV/nucleon. This sign change depends neither on the target nor the projectile. It depends only on the ratio of the real to the imaginary parts of the underlying nucleon-nucleon (or nucleon-target) potential. The breakup effect is stronger in 6He than in 6Li.