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- W2022811798 abstract "Information retrieval activities in many different areas are using popular Web search engines, such as Google, Yahoo!, and Live Search, etc. to obtain initial helpful information. These retrieved information items may not be relevant to the search target in the search engine user's mind. The user in turn has to shortlist the results. These popular Web search engines use first generation search service based on ¿static keywords¿, which require the users to type in the exact keywords. This approach clearly puts the users in a critical situation of guessing the exact keyword. The users may want to define their search by using attributes of the search target. This paper is to investigate and design a dynamic, question-answer type of search engine, which enables the search by attributes for more precise and relevant information in electronic medical record (EMR) field." @default.
- W2022811798 created "2016-06-24" @default.
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- W2022811798 date "2009-12-01" @default.
- W2022811798 modified "2023-10-11" @default.
- W2022811798 title "A Semantic-Based Dynamic Search Engine Design and Implementation for Electronic Medical Records" @default.
- W2022811798 cites W633503409 @default.
- W2022811798 doi "https://doi.org/10.1109/health.2009.5406185" @default.
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