Title :
Towards a Technology Platform for Building Corporate Radar Applications that Mine the Web for Business Insight
Author :
Yeh, Peter Z. ; Puri, Colin A. ; Kass, Alex
Author_Institution :
Accenture Technol. Labs., San Jose, CA, USA
Abstract :
In this paper, we give a progress report on an ongoing effort at Accenture to develop a technology platform for building a wide range of corporate radar applications,which can turn the Web into a systematic source of business insight. Our goal is to share the platform we have developed and the lessons we have learned, so others can leverage this knowledge when building similar applications. We give an overview of this platform, which integrates a combination of established AI technologies - i.e. semantic models, natural language processing, and inference engines - in a novel way. We then illustrate the kinds of corporate radars that can be built with our platform through two applications we developed at Accenture: the technology lifecycle tracker, which assesses the maturity of technologies from the wireless industry, and the technology trend tracker, which measures hype versus reality for emerging technology trends such as cloud computing, software-as-a-service, and more. Finally, we discuss our experiences in using this platform to build these applications and the lessons learned.
Keywords :
artificial intelligence; corporate modelling; data mining; electronic commerce; inference mechanisms; natural language processing; radar computing; AI technologies; Accenture; Web mining; building corporate radar applications; cloud computing; inference engines; natural language processing; semantic models; software-as-a-service; technology lifecycle tracker; wireless industry; Application software; Artificial intelligence; Bismuth; Companies; Event detection; Monitoring; Natural language processing; Radar applications; Radar tracking; Recruitment; Knowledge-Based Systems; NL; Ontology; Web Mining;
Conference_Titel :
Tools with Artificial Intelligence, 2009. ICTAI '09. 21st International Conference on
Conference_Location :
Newark, NJ
Print_ISBN :
978-1-4244-5619-2
Electronic_ISBN :
1082-3409
DOI :
10.1109/ICTAI.2009.106