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- W2044020010 abstract "Popular techniques used in today's Web search engines and digital libraries for retrieving and ranking scientific publications have foundations in modern information retrieval. Information and users in the scientific communities have their own characteristics, however, they have not been sufficiently exploited in existing retrieval and ranking methods. We present a semantic search engine, IRIS2, which represents the semantic entities and their relations using ontologies and knowledge bases. It utilises a ranking method based on the research model, which restores an elegant idea that a researcher does rational in an academic environment. We explain in detail the design and implementation of the IRIS2 prototype and compare its retrieving and ranking performance with existing methods." @default.
- W2044020010 created "2016-06-24" @default.
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- W2044020010 date "2014-12-01" @default.
- W2044020010 modified "2023-09-27" @default.
- W2044020010 title "IRIS2: A Semantic Search Engine That Does Rational Research" @default.
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- W2044020010 doi "https://doi.org/10.1109/cse.2014.62" @default.
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