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Information Retrieval (IR) techniques applied to the Web have gained a reasonable degree of maturity which is clearly corroborated by the success of search engines such as Google, Yahoo and the like. These search engines are in fact providing a baseline quite difficult to outperform. Due to the nature and the maturity of the underlying statistical techniques, they are more robust and scale to the size of the Web, as opposed to semantic technologies. For restricted domains which can be formalized using ontologies, there is nevertheless hope that semantic technologies can be put into work to allow for more semantics based search. In this paper, the authors present an ontology-based information extraction and retrieval system using apriori algorithm and semantic search.
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