Domain specific language design

US10120654B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10120654-B2
Application numberUS-201213430217-A
CountryUS
Kind codeB2
Filing dateMar 26, 2012
Priority dateJul 26, 2011
Publication dateNov 6, 2018
Grant dateNov 6, 2018

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

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A method for domain specific language design includes, with a physical computing system, receiving from a user, a number of annotations for at least one of a set of statements within a problem domain, the annotations identifying a set of elements within the statement. The method further includes forming a set of grammar rules for the problem domain based on the annotations, and parsing the set of statements using the set of grammar rules.

First claim

Opening claim text (preview).

What is claimed is: 1. A method for use with a textual data set representing text, the method comprising: iteratively receiving user selection data sets, with each user selection data set including: (i) an identification of a portion of text included in the textual data set, and (ii) an annotation assigned to the respectively associated portion of text, with each annotation including at least one of the following types of annotation value: value, identifier, block; wherein the block annotation comprises an optional block annotation that indicates that a particular portion of text to be used to form a specific grammar rule indicates that the associated portion of text will not be included in an instance within the textual data set and will be included in an instance within the textual data set, wherein said annotation comprises a block to denote a sub-portion of said at least one statement for a particular purpose and wherein said block comprises a multiple block where said block can occur multiple times within said statement; identifying, in the text represented by the textuai data set, a plurality of common elements of text; responsive to the iterative receipt of the user selection data sets, building a target language based, at least in part upon the plurality of common elements of text; responsive to receipt of each given user selection data set, computing a grammar using the portion of text and the annotations provided by the given user selection data set; and wherein the user selection data sets are used for: parsing the statement using the grammar; creating a table with the columns, using the information extracted from the parsing the statement wherein each entry of the table corresponds to the statement. 2. The method of claim 1 further comprising: defining a grammar of a textual Domain Specific Language, based on the target language. 3. The method of claim 2 further comprising: linking the target language to a dataset. 4. The method of claim 2 further comprising: responsive to the definition of the grammar, highlighting, in the text corresponding to a first user selection data set of the user selection data sets, instance(s) that do not comply with the grammar.

Assignees

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Classifications

  • Parsing · CPC title

  • G06F8/31Primary

    Programming languages or programming paradigms · CPC title

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What does patent US10120654B2 cover?
A method for domain specific language design includes, with a physical computing system, receiving from a user, a number of annotations for at least one of a set of statements within a problem domain, the annotations identifying a set of elements within the statement. The method further includes forming a set of grammar rules for the problem domain based on the annotations, and parsing the set …
Who is the assignee on this patent?
Bernelas Jean Michel, Dehors Sylvain, Mathey Cyril, and 2 more
What technology area does this patent fall under?
Primary CPC classification G06F8/31. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Nov 06 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).