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Knowledge extraction for patent requests depends on analyzing current state of the art in multiple languages. Currently the process is usually limited to the languages the patent seeker knows. The paper describes a model for representing the patent request by a set of concepts related to existing multilingual knowledge ontology. The search for patent information is based on Fuzzy Logic decision support,...
The Hindi morpheme ` vaalaa' is very widely used as a suffix and also as a separate word. The common usage of this suffix is to denote an activity or profession of a person. This form of the usage has been borrowed in English with the spelling of ` wallah'. However, it has a large number of other interpretations depending upon the context in which it is used. This paper presents an account of different...
This paper presents an approach for representing queries in natural language as semantic networks. The semantic representation is intended to facilitate the translation between natural language and database queries. A domain agnostic algorithm, based on shallow features, is used to map a sentence to a sub-network of concepts within a larger ontology. This work focuses on transportation information...
Classical information retrieval models are based on representation of document terms without considering linguistic elements. This article presents a model based on the Discourse Nominal Structure; which lets us take linguistic characteristics of text into account. The model presented is evaluated in comparison with the vector space model. Based on observations during the experimentation we propose...
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