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A Unifying Translation of Natural Language Patterns to Object and Process Modeling

A Unifying Translation of Natural Language Patterns to Object and Process Modeling
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Author(s): Alexandra Galatescu (National Institute for R&D in Informatics, Romania)
Copyright: 2001
Pages: 9
Source title: Information Modeling in the New Millennium
Source Author(s)/Editor(s): Matt Rossi and Keng Siau (Missouri University of Science and Technology, USA)
DOI: 10.4018/978-1-878289-77-3.ch013
ISBN13: 9781878289773
ISBN10: 1878289772
EISBN13: 9781930708853

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Abstract

The proposed translation of natural language (NL) patterns to object and process modeling is seen as an alternative to the symbolic notations, textual languages or classical semantic networks, the main representation tools today. Its necessity is motivated by the universality, unifying abilities, natural extensibility, logic and reusability of NL. The translation relies on a formalized, stylized and graphical representation of NL, bridging NL to an integrated view on the object and process modeling. Only the morphological and syntactic knowledge in NL is subject to translation, but the proposed solution anticipates the semantic and logical interpretation of a model. A brief presentation and exemplification of NL patterns in consideration precede the translation.

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