A service-oriented architecture for text analytics enabled business applications

Denecke, K. & Kowalkiewicz, M. (2010) A service-oriented architecture for text analytics enabled business applications. In 8th European Conference on Web Services (ECOWS), IEEE, Ayia Napa, pp. 205-212.

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Experiences showed that developing business applications that base on text analysis normally requires a lot of time and expertise in the field of computer linguistics. Several approaches of integrating text analysis systems with business applications have been proposed, but so far there has been no coordinated approach which would enable building scalable and flexible applications of text analysis in enterprise scenarios. In this paper, a service-oriented architecture for text processing applications in the business domain is introduced. It comprises various groups of processing components and knowledge resources. The architecture, created as a result of our experiences with building natural language processing applications in business scenarios, allows for the reuse of text analysis and other components, and facilitates the development of business applications. We verify our approach by showing how the proposed architecture can be applied to create a text analytics enabled business application that addresses a concrete business scenario. © 2010 IEEE.

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ID Code: 86016
Item Type: Conference Paper
Refereed: Yes
Keywords: Business applications, Business domain, Business scenario, Knowledge resource, NAtural language processing, Processing applications, Proposed architectures, Service Oriented, Text analysis, Text analysis system, Computational linguistics, Information services, Natural language processing systems, Text processing, Web services, Word processing, Service oriented architecture (SOA)
DOI: 10.1109/ECOWS.2010.27
ISBN: 9780769543109
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: IEEE
Deposited On: 29 Jul 2015 07:22
Last Modified: 31 Jul 2015 00:58

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