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Concept-based information retrieval offers a higher abstraction level than the classical keyword-based approach. A multilingual terminology makes possible language-independent indexing and querying. The conceptual structure with its associated terminology is called an ontology. This paper describes a methodology to
As the traditional way of information retrieval is based on keywords that the computer cannot understand users' potential semantic and personalized query requirements, the paper proposes an ontology-based method of the product information retrieval. Using the product information retrieval as an example, the framework
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.