Richard MacMillan, E. Lusher, Martha L. Farinacci, S. Laskowski, Leonard J. Seligman, Adrienne J. Kleiboemer
{"title":"A common architecture to encourage reuse of natural language/text processing tools","authors":"Richard MacMillan, E. Lusher, Martha L. Farinacci, S. Laskowski, Leonard J. Seligman, Adrienne J. Kleiboemer","doi":"10.1109/KBSE.1993.341193","DOIUrl":null,"url":null,"abstract":"Text analysis systems that handle large amounts of free-form narrative text are beginning to use natural language processing algorithms, employing linguistic-based techniques to deduce meaning. Existing natural language/text processing (NL/TP) systems often serve similar purposes and use similar components, but component reuse is rare. We have designed a domain-designed architecture to promote reusability of NL/TP software and data components. It is constructed from an ontology of the NL/TP domain, which was derived from a survey of NL/TP applications and users, and is represented by an object-oriented model. The architecture also includes interoperability standards, interface protocols, and tools for developing reusable components intended to promote reuse of software and data across a wide range of NL/TP applications and technologies, from keyword searching to semantic analysis.<<ETX>>","PeriodicalId":371606,"journal":{"name":"Proceedings of 8th Knowledge-Based Software Engineering Conference","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 8th Knowledge-Based Software Engineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KBSE.1993.341193","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Text analysis systems that handle large amounts of free-form narrative text are beginning to use natural language processing algorithms, employing linguistic-based techniques to deduce meaning. Existing natural language/text processing (NL/TP) systems often serve similar purposes and use similar components, but component reuse is rare. We have designed a domain-designed architecture to promote reusability of NL/TP software and data components. It is constructed from an ontology of the NL/TP domain, which was derived from a survey of NL/TP applications and users, and is represented by an object-oriented model. The architecture also includes interoperability standards, interface protocols, and tools for developing reusable components intended to promote reuse of software and data across a wide range of NL/TP applications and technologies, from keyword searching to semantic analysis.<>
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