Paper Info
Title
A Service-Oriented Architecture for Text Analytics Enabled Business Applications
Abstract
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.
Year
DOI
Venue
2010
10.1109/ECOWS.2010.27
Web Services
Keywords
Field
DocType
service-oriented architecture,text analysis system,text analysis,business application,concrete business scenario,text processing application,text analytics,business domain,natural language processing application,text analytics enabled business,proposed architecture,business scenario,computer architecture,natural language processing,service oriented architecture,knowledge representation,business
Artifact-centric business process model,Data science,Applications architecture,Business analytics,Computer science,Business domain,Business process modeling,Database,Business architecture,Business rule,Business Process Model and Notation
Conference
ISBN
Citations 
PageRank 
978-1-4244-9397-5
0
0.34
References 
Authors
13
2
Name
Order
Citations
PageRank
Kerstin Denecke114023.57
Marek Kowalkiewicz215923.39