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- W2972674320 abstract "Information Retrieval (IR) is the complex of models, languages, and techniques aimed to retrieve documents containing information relevant to the user’s information needs. Current retrieval technology requires a retrieval model for guaranteeing effective results. While all retrieval models for term-based search bring into play the Boolean logic of sets, a document collection can be searched by themes, instead of terms, using the logic of vector spaces, instead of sets. Indeed, vector spaces may generalize sets by breaking some laws of algebra of sets. The main aim of this chapter is to provide an overview of the state-of-the-art formalism used in IR and explain how the novel model based on themes defined as vector spaces and inspired by quantum operators, such as two lattice operators known as meet and join, can be built upon this formalism." @default.
- W2972674320 created "2019-09-19" @default.
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- W2972674320 date "2019-01-01" @default.
- W2972674320 modified "2023-09-27" @default.
- W2972674320 title "Searching for Information with Meet and Join Operators" @default.
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- W2972674320 doi "https://doi.org/10.1007/978-3-030-25913-6_8" @default.
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