학술논문

Towards a Plug-and-Play B2B Marketing Tool Based on Time-Sensitive Information Extraction
Document Type
Conference
Source
2014 IEEE International Conference on Services Computing Services Computing (SCC), 2014 IEEE International Conference on. :821-828 Jun, 2014
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
General Topics for Engineers
Companies
Filtering
Semantics
Information retrieval
Feeds
Data mining
Information extraction
unstructured data
AQL
Solution-as-a-Service
Software-as-a-Service
B2B
Marketing
Language
Abstract
The LARIAT system developed at IBM Research uses information extraction applied to news feeds and other time-sensitive documents, along with historical and enterprise data, to provide a stream for B2B sales leads to different sales teams. This paper overviews the system and discusses lessons learned. LARIAT is contrasted with the IBM infoSage system from almost two decades ago. The experience with LARIAT is used as the basis for the design of a Solution-as-a-Service framework that will enable a richly extensible version of the capability, which could serve multiple B2B companies while affording economies of scale.