Textual Data Mining to Support Science and Technology Management
Journal of Intelligent Information Systems
Discovering unexpected information from your competitors' web sites
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Discovering unexpected information for technology watch
PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
Web mining from competitors' websites
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Using the structure of documents to improve the discovery of unexpected information
Proceedings of the 2006 ACM symposium on Applied computing
Text mining techniques for patent analysis
Information Processing and Management: an International Journal
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
Chinese Patent Mining Based on Sememe Statistics and Key-Phrase Extraction
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Textual demand analysis: detection of users' wants and needs from opinions
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Scientific paper summarization using citation summary networks
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Towards future technology projection: a method for extracting capability phrases from documents
DS'07 Proceedings of the 10th international conference on Discovery science
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Technical literature such as patents, research papers, whitepapers, and technology news articles are widely recognized as important information sources for people seeking broad knowledge in technology fields. However, it is generally a labor intensive task to survey these resources to track major advances in a broad range of technical areas. To alleviate this problem, we propose a novel survey assistance tool that focuses on a novel semantic class for phrases, advantage phrases, which mention strong, advantageous points of technologies or products. The advantage phrases such as "reduce cost," "improve PC performance," and "provide early warning of a future failure" can help users to grasp the capabilities of a new technology and to come up with innovative solutions with large business values for themselves and their clients. The proposed tool automatically extracts and lists up those advantage phrases from large technical documents, and places the phrases that mention novel technology applications high on the output list. The developed prototype of the tool is now available for consultants analyzing patent disclosures. In this paper, a method to identify advantage phrases in technical documents and a scoring function to give a higher score to novel applications of a technology are proposed and evaluated.