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摘要


A Meta-Search engine is an optimal tool that uses search words and phrases and transmits them away to multiple search engines. It then comes back with the categorized results to the user. One example is, we created a Universiti Kebangsaan Malaysia (UKM) Patent meta-search engine that takes patents from a number of search engines, such as Google patent and Patent Mall. This website enables UKM students to investigate patents inside Patent Mall, the UKM database and the Google patent search engine. This paper aims at web design and its development using different tools and programming languages, such as open source ASP.Net and SQL Server Database. Some of these are used to retrieve information from search engines such as the Google patent application programming interface (API) and Post Query to Patent Mall. In this project, we set up a new framework for the first meta-search engine specialised in patents, which will reduce worthless pages in search results. Additionally, the UKM database contains private university UKM patents. The UKM patent meta-search will extract (or retrieve) these patents based on Language-Integrated Query (LINQ) which is used for conveniently extracting and processing patents from the UKM database. Finally, the UKM meta-search is a new solution to the problem of obtaining requested information quickly.

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