KEYWORDS: Information architecture, Data processing, Databases, Explosives, Information technology, Data modeling, Human-machine interfaces, Machine vision, Standards development, Computer vision technology
Nowadays, the web has enabled an explosive growth of information sharing (there are currently over 4 billion pages
covering most areas of human endeavor) so that the web has faced a new challenge of information overhead. The
challenge that is now before us is not only to help people locating relevant information precisely but also to access and
aggregate a variety of information from different resources automatically. Current web document are in human-oriented
formats and they are suitable for the presentation, but machines cannot understand the meaning of document. To address
this issue, Berners-Lee proposed a concept of semantic web. With semantic web technology, web information can be
understood and processed by machine. It provides new possibilities for automatic web information processing. A main
problem of semantic web information retrieval is that when these is not enough knowledge to such information retrieval
system, the system will return to a large of no sense result to uses due to a huge amount of information results. In this
paper, we present the architecture of information based on semantic web. In addiction, our systems employ the inference
Engine to check whether the query should pose to Keyword-based Search Engine or should pose to the Semantic Search
Engine.
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