Yowie: Information Extraction in a Service Enabled World

Kowalkiewicz, Marek; Jünemann, Konrad

doi:10.1007/978-3-540-89652-4_68

Cited by 3 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is in contrast to our approach where one architecture should enable the creation of very different business applications. Within Yowie [1], named entity recognition and information extraction services are integrated with a SOA paradigm. These technologies are exploited as entry points for external services.…”

Section: Business Intelligence Applicationsmentioning

confidence: 99%

“…Unfortunately, a reuse does not take place due to a missing common architecture and common data exchange between components. Of course, systems have already been developed that use text analysis in business applications [1], [2], [3]. However, a general architecture of such applications, their requirements and components still need to be developed and described.…”

Section: Introductionmentioning

confidence: 99%

“…Screen Corp. sells computer screens to wholesale distributors (1), computer stores (2) and, via on-line channels, directly to customers (3). It uses one E-mail address (info@screen.com) to communicate with the customers.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Service-Oriented Architecture for Text Analytics Enabled Business Applications

Denecke

Kowalkiewicz

2010

2010 Eighth IEEE European Conference on Web Services

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Business Intelligence Applicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%