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Method for converting the nomenclature of documents to the user's preferred notations Disclosure Number: IPCOM000239675D
Publication Date: 2014-Nov-24
Document File: 2 page(s) / 49K

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The Prior Art Database


When studying a topic, a person usually has to consult multiple documents or sources. It is often the case that documents discussing the same topic do not use the same notation, variables or other terms. For example, two documents could show the same equation but in one a variable could be denoted as X and in the other denoted as Y. Similarly two documents could contain the same algorithms but use different variable names. Such differences in nomenclature make the understanding harder for the reader, both novice and expert in the field, to have intuition to the meaning of equations, algorithms, and other technical jargon. It would be preferable to have a system that unifies nomenclature so that each equation for instance is intuitive for the user.

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Method for converting the nomenclature of documents to the user's preferred notations

Disclosed is a system that analyses the documents the user wants to read in order to identify equations, scientific notations and algorithms that should be converted. The system then replaces the symbols and variables.

    The novelty is to adapt the notation or nomenclature of a document so it makes the reading easier for the user by making it more intuitive to the user. A task which is currently tedious for the user to do but will greatly aid them in the understanding of the text. Although equations in various academic texts are the same, their notations and the variables used are different within a particular field and it can be very confusing for the reader.

    With this idea, the user could define that he or she wants polynomial equations to use his or her favourite format. Then the software used to display the documents will identify polynomial equations that are not written with user preferences and convert them automatically. First, the user would have to define the nomenclature, notations he prefers for algorithms and equations. Then when the user opens files with a document viewer such as Microsoft Word, Lotus Symphony or Adobe Acrobat Reader, equations and notations that match the ones the user defined could be identified and converted on the fly. Methods to identify specific patterns, like equations, already exist. Heuristic search or natural language processing could be used to identify all the notations/variables/equations in the documents the users wants to consult. Modern texts could have metadata to identify known clashes which could be picked up in the parsing stages to reduce time spent in the search stage.

In the following description, we will use the following example:

The user is reading documents about polynomial equations and is used to the following notation:
In one of the documents the user is reading, the equation is written as: ix^2+jx+k=0
When a user first uses the idea, as an initial setup stage, the invention can take in a series of default parameters to a d...