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.

Big Data Architecture

“…In addition, part advisories from the manufacturer are also needed from documents and other manufacturers release materials. Natural language analytic [17], text analytic [18,19], and SQL are some of the other techniques used for analysis. The end result of this knowledge refinery is the issuance of a preventive maintenance direction and safety warning for failing parts in order to keep the plane flying safely.…”