The nature of statistical learning theory
The nature of statistical learning theory
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
The integration of business intelligence and knowledge management
IBM Systems Journal
RStar: an RDF storage and query system for enterprise resource management
Proceedings of the thirteenth ACM international conference on Information and knowledge management
An ontology-based mining system for competitive intelligence in neuroscience
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
From a stream of relational queries to distributed stream processing
Proceedings of the VLDB Endowment
EagleEye: entity-centric business intelligence for smarter decisions
IBM Journal of Research and Development
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Gathering market intelligence (MI) can be critical for the success of an enterprise, and in-depth analysis of this information is helpful in understanding products, business trends, and information concerning competitors. Because of the huge volume of this information and the high rate of its growth, there is a great demand from enterprises for automated MI management systems. In this paper, an information portal for MI management systems is presented. It is based on a semantic web approach and provides the user a single access point for all relevant information about a specific MI topic. In contrast with traditional knowledge portal methods, our work is based on entity-level computing technologies rather than document-level technologies. We present a knowledge network called EntityNet, which is generated by an information synthesis process and enables the network to store entity-level knowledge and provide semantic services for the knowledge worker. From the systems perspective, EntityNet's most significant features are its customized document-processing flow and personalized category view. The framework can integrate various text collections, apply data-mining and dissemination functions on the collections with a defined process flow, and present a personalized browsing and searching interface.