Authors:
E. Michael Maximilien
;
Ying Chen
;
Ana Lelescu
;
James Rhodes
;
Jeffrey Kreulen
and
Scott Spangler
Affiliation:
IBM Almaden Research Center, United States
Keyword(s):
SOA, Web services, Text Analytics, Text Mining, Software Engineering, Case Study.
Related
Ontology
Subjects/Areas/Topics:
B2B, B2C and C2C
;
B2C/B2B Considerations
;
Business and Social Applications
;
Communication and Software Technologies and Architectures
;
Data Warehouses and OLAP
;
Databases and Information Systems Integration
;
e-Business
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Intranet and Extranet Business Applications
;
Middleware Integration
;
Middleware Platforms
;
Object-Oriented Database Systems
;
Society, e-Business and e-Government
;
Software Agents and Internet Computing
;
Software Engineering
;
Technology Platforms
;
Web Information Systems and Technologies
Abstract:
As business information is made available via the intranet and Internet, there is a growing need to quickly analyze the resulting mountain of information to infer business insights. For instance, analyzing a company’s patent database against another’s to find the patents that are cross-licensable. IBM Research’s Business Insight Workbench (BIW) is a text mining and analytics tool that allows end-users to explore, understand, and analyze business information in order to come up with such insight. However, the first incarnation of BIW used a thick-client architecture with a database back-end. While very successful, the architecture caused limitations in the tool’s flexibility, scalability, and deployment. In this paper we discuss our initial experiences in converting BIW into a modern Service-Oriented Architecture. We also provide some insights into our design choices and also outline some lessons learned.