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Many online or local data sources provide powerful querying mechanisms but limited ranking capabilities. For instance, PubMed allows users to submit highly expressive Boolean keyword queries, but ranks the query results by date only. However, a user would typically prefer a ranking by relevance, measured by an
including keywords that inform about the subjects of the web pages located in different directions. The design of the interface borrows from Self Organizing Maps (SOM), however the interface has advantages of a typical ranked list.
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.