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? Doesn't it understand it now? Google is very good at correcting typing mistakes, figuring out what I “meant” when I miss-typed a query or suggesting keyword to expand our search query. In this paper we redefine the idea of searching optimised information on the web using Capture-Recapture method. This paper
Currently keyword search is a prominent data retrieval method for the Web because the simple and efficient nature of the keyword processing allows it to process a large amount of information with fast response. However, keyword search approaches do not formally capture the clear meaning of a keyword query and fail to
In order to improve performance of existing information retrieval technology based on keyword matching, this paper introduces a framework of multi-agent information retrieval system based on ontology according to ontology theory and multi-agent theory. The design thought of system, functions of every agent
a better precision (28% improvement) and recall (25% improvement) when compared to keyword based search, when used in a big set of representative biodiversity data (206,000 records) from INPA and the Emilio Gueldi Museum in Pará (MPEG). We also show that, because the biodiversity data is now in semantic web
It has become common to search necessary services and contents using the Internet, but it is difficult to find exactly what one is looking for through keywords as each service is described in just too many ways. We developed "laddering" search service system that matches the needs of the users with the search targets
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.