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- W2068471245 abstract "Document retrieval is one of the best-established information retrieval activities since the ’60s, pervading all search engines. Its aim is to obtain, from a collection of text documents, those most relevant to a pattern query. Current technology is mostly oriented to “natural language” text collections, where inverted indexes are the preferred solution. As successful as this paradigm has been, it fails to properly handle various East Asian languages and other scenarios where the “natural language” assumptions do not hold. Inthis survey, we cover the recent research in extending the document retrieval techniques to a broader class of sequence collections, which has applications in bioinformatics, data and web mining, chemoinformatics, software engineering, multimedia information retrieval, and many other fields. We focus on the algorithmic aspects of the techniques, uncovering a rich world of relations between document retrieval challenges and fundamental problems on trees, strings, range queries, discrete geometry, and other areas." @default.
- W2068471245 created "2016-06-24" @default.
- W2068471245 creator A5080743153 @default.
- W2068471245 date "2014-03-01" @default.
- W2068471245 modified "2023-10-18" @default.
- W2068471245 title "Spaces, Trees, and Colors" @default.
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- W2068471245 doi "https://doi.org/10.1145/2535933" @default.
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