A Form-Based Approach to Natural Language Query Processing.
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| Title: | A Form-Based Approach to Natural Language Query Processing. |
|---|---|
| Authors: | Adam, Nabil R.1,2,3, Gangopadhyay, Aryya4, Clifford, James5 |
| Source: | Journal of Management Information Systems. Fall1994, Vol. 11 Issue 2, p109-135. 27p. 6 Diagrams, 2 Charts. |
| Subjects: | Natural language processing, Querying (Computer science), Information retrieval, Computer integrated manufacturing systems, Database management, Electronic data processing |
| Abstract: | We describe a methodology for processing data retrieval and update queries using a form-based natural language interface. For the purpose of illustration, we use computer integrated manufacturing (CIM) as the application domain. The interface consists of a set of fourth-generation interface tools (SQL forms), a set of form definitions, a lexicon, and a parser. The forms are developed from the functional and data models of the system. A form definition consists of a form name, a form object, a set of form fields, and a set of fragment grammars. A form object is a single or composite entity that uniquely identifies a form. Form fields consist of database fields whose values can be entered by users (user-defined), and others whose values can be derived by the system (system-defined). Fragment grammars are templates that identify the information requested by user queries. The lexicon consists of all words recognized by the system, their grammatical categories, synonyms, and associations (if any) with database objects and forms. The parser scans a natural language query to identify a form in a bottom-up fashion. The information requested by the user query is determined in a top-down manner by matching the fragment grammars associated with a form against the user query. Extragrammatical inputs with limited deviations from the grammar rules are supported. Elliptical queries are supported by deriving the missing information from those specified in previous queries and forms. Combining a natural language processor with SQL forms allows update queries and prevents violation of database integrity constraints, duplication of records, and invalid data entry. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Management Information Systems is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 9412143506 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Form-Based Approach to Natural Language Query Processing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Adam%2C+Nabil+R%2E%22">Adam, Nabil R.</searchLink><relatesTo>1,2,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Gangopadhyay%2C+Aryya%22">Gangopadhyay, Aryya</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Clifford%2C+James%22">Clifford, James</searchLink><relatesTo>5</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Management+Information+Systems%22">Journal of Management Information Systems</searchLink>. Fall1994, Vol. 11 Issue 2, p109-135. 27p. 6 Diagrams, 2 Charts. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Natural+language+processing%22">Natural language processing</searchLink><br /><searchLink fieldCode="DE" term="%22Querying+%28Computer+science%29%22">Querying (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Information+retrieval%22">Information retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+integrated+manufacturing+systems%22">Computer integrated manufacturing systems</searchLink><br /><searchLink fieldCode="DE" term="%22Database+management%22">Database management</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: We describe a methodology for processing data retrieval and update queries using a form-based natural language interface. For the purpose of illustration, we use computer integrated manufacturing (CIM) as the application domain. The interface consists of a set of fourth-generation interface tools (SQL forms), a set of form definitions, a lexicon, and a parser. The forms are developed from the functional and data models of the system. A form definition consists of a form name, a form object, a set of form fields, and a set of fragment grammars. A form object is a single or composite entity that uniquely identifies a form. Form fields consist of database fields whose values can be entered by users (user-defined), and others whose values can be derived by the system (system-defined). Fragment grammars are templates that identify the information requested by user queries. The lexicon consists of all words recognized by the system, their grammatical categories, synonyms, and associations (if any) with database objects and forms. The parser scans a natural language query to identify a form in a bottom-up fashion. The information requested by the user query is determined in a top-down manner by matching the fragment grammars associated with a form against the user query. Extragrammatical inputs with limited deviations from the grammar rules are supported. Elliptical queries are supported by deriving the missing information from those specified in previous queries and forms. Combining a natural language processor with SQL forms allows update queries and prevents violation of database integrity constraints, duplication of records, and invalid data entry. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Management Information Systems is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/07421222.1994.11518042 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 109 Subjects: – SubjectFull: Natural language processing Type: general – SubjectFull: Querying (Computer science) Type: general – SubjectFull: Information retrieval Type: general – SubjectFull: Computer integrated manufacturing systems Type: general – SubjectFull: Database management Type: general – SubjectFull: Electronic data processing Type: general Titles: – TitleFull: A Form-Based Approach to Natural Language Query Processing. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Adam, Nabil R. – PersonEntity: Name: NameFull: Gangopadhyay, Aryya – PersonEntity: Name: NameFull: Clifford, James IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Fall1994 Type: published Y: 1994 Identifiers: – Type: issn-print Value: 07421222 Numbering: – Type: volume Value: 11 – Type: issue Value: 2 Titles: – TitleFull: Journal of Management Information Systems Type: main |
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