Priyansh Trivedi

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Document similarity is the problem of formally representing tex-tual documents and then proposing a similarity measure that can be used to compute the linguistic similarity between two documents. Accurate document similarity computation improves many enterprise relevant tasks such as document clustering, text mining, and question-answering. Most(More)
In this paper, we propose an algebraic similarity measure σ BS (BS stands for BitSim) for assigning semantic similarity score to concept definitions in ALCH+-an expressive fragment of Description Logics (DL). We define an algebraic interpretation function, I B , that maps a concept-definition to a unique string (ω B) (called bit-code) over an alphabet B of(More)
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