DocumentCode :
2053988
Title :
Ontology-centric, Service-Oriented Enterprise Campaign Management System
Author :
Ang, Wee-Tiong ; Seeto, Wei-Peng ; Tan, Francis ; Tang, Weng-Fai ; Kanagasabai, Rajaraman
Author_Institution :
Inst. for Infocomm Res., Singapore, Singapore
fYear :
2009
fDate :
14-16 Sept. 2009
Firstpage :
442
Lastpage :
449
Abstract :
Public relations is an important management staff function in this computer age, and accurate media information retrieval and appropriate measurement for publicity tracking in a campaign management system is of utmost importance. This paper proposes an intelligent campaign management system, called KnowleTracker, based on a semantic service-oriented approach. KnowleTracker has powerful deep mining functions to pull out news and other information that may lie several layers below the front page based on a semantic search for not only the specific keyword, but also the associated concepts that are not part of the keywords. The returned results are presented at different levels of detail and viewed from different angles, and show customers, detailed information of where their news releases are distributed. We demonstrate the utility of KnowleTracker in a real-world scenario through a case study on "A*STAR Event Campaign Management", and argue that our system is an effective tool to tackle the complex task of campaign management and tracking. A Web Demo is available at: http://datam.i2r.a-star.edu.sg/est/demo/icsc2009/.
Keywords :
commerce; information retrieval; marketing; ontologies (artificial intelligence); KnowleTracker; intelligent campaign management system; media information retrieval; ontology-centric enterprise campaign management system; publicity tracking; semantic service-oriented approach; service-oriented enterprise campaign management system; Conference management; Industrial relations; Internet; Monitoring; Ontologies; Poles and towers; Power system management; Public relations; Technology management; Text mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantic Computing, 2009. ICSC '09. IEEE International Conference on
Conference_Location :
Berkeley, CA
Print_ISBN :
978-1-4244-4962-0
Electronic_ISBN :
978-0-7695-3800-6
Type :
conf
DOI :
10.1109/ICSC.2009.63
Filename :
5298644
Link To Document :
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