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With the development of Internet, more and more on-line information has become precious wealth that we can access to. High quality information is often stored in dedicated digital libraries. However, query system of most digital libraries based on keyword matching couldnpsilat make users satisfied. This paper presents
The existing expert information systems supply services for searching information of experts and help the users to select suitable experts to evaluate all types of projects in different fields, however, almost all of these search services use keyword match, and it is hard to gain high search efficiency. Ontology has
With an exponential growth in the amount of information available in diverse domains, the traditional information retrieval (IR) approaches which based on keywords can not meet the semantic needs of users. Semantic query, as an application of semantic Web, has shown significant potential in improving the performance
Traditional Web Service search methodology dependant on keywords is time consuming and inefficient. The search results are often inexact. The substantive reason is that, the description of Web Service lacks semantic information. Search Engines can't accomplish the communication automatically and intelligently between
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.