  Information Retrieval (IR) allows the storage, management, processing and
retrieval of information, documents, websites, etc. Building an IR system for
any language is imperative. This is evident through the massive conducted
efforts to build IR systems using any of its models that are valid for certain
languages. This report presents an implementation for a core IR technique which
is Vector Space Model (VSM). We have chosen VSM model for our project since it
is a term weighting scheme, and the retrieved documents could be sorted
according to their relevancy degree. One other significant feature for such
technique is the ability to get a relevance feedback from the users of the
system; users can judge whether the retrieved document is relative to their
need or not. The developed system has been validated through building an Arabic
IR website using server side scripting. The experiments verifies the
effectiveness of our system to apply all techniques of vector space model and
valid over Arabic language.
