Building natural language generation systems
Building natural language generation systems
Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Hermes: a semantic web-based news decision support system
Proceedings of the 2008 ACM symposium on Applied computing
Ontology-centric integration and navigation of the dengue literature
Journal of Biomedical Informatics
SemNews: a semantic news framework
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
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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. 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.