Towards a Plug-and-Play B2B Marketing Tool Based on Time-Sensitive Information Extraction

Author

Callery, Matt ; Heath, F. ; Hull, R. ; Linehan, Mark ; Sukaviriya, Piwadee ; Vaculin, R. ; Oppenheim, Daniel

Author_Institution

IBM T.J. Watson Res. Center, Yorktown Heights, NY, USA

fYear

2014

fDate

June 27 2014-July 2 2014

Firstpage

821

Lastpage

828

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.

Keywords

cloud computing; data mining; economies of scale; information retrieval; marketing data processing; sales management; B2B companies; B2B sales leads; IBM Research; IBM infoSage system; LARIAT system; economies of scale; enterprise data; historical data; news feed; plug-and-play B2B marketing tool; sales teams; solution-as-a-service framework; time-sensitive document; time-sensitive information extraction; Companies; Data mining; Feeds; Filtering; Information retrieval; Semantics; AQL; B2B; Information extraction; Marketing; Software-as-a-Service; Solution-as-a-Service; unstructured data;

fLanguage

English

Publisher

ieee

Conference_Titel

Services Computing (SCC), 2014 IEEE International Conference on

Conference_Location

Anchorage, AK

Print_ISBN

978-1-4799-5065-2

Type

conf

DOI

10.1109/SCC.2014.111

Filename

6930613