Technology Survey Assistance Tool Focusing on Their Advantages
| Autor: | Hideo Watanabe, Risa Nishiyama, Hironori Takeuchi, Tetsuya Nasukawa |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Technology education
Computer science Emerging technologies media_common.quotation_subject Technical documentation computer.software_genre Data science Information extraction Identification (information) Artificial Intelligence Information technology architecture Business case Function (engineering) computer Software media_common |
| Zdroj: | Transactions of the Japanese Society for Artificial Intelligence. 24:541-548 |
| ISSN: | 1346-8030 1346-0714 |
| Popis: | It is important for R&D managers, consultants, and other people seeking broad knowledge in technology fields to survey technical literature such as research papers, white papers, and technology news articles. One of the important kinds of information for those people regards the effectiveness of new technologies in their own businesses. General search engines are good at selecting documents revealing the details of a specific technology or a technology field, but it is hard to obtain useful information about how a technology will apply to individual business cases from such search results. There is a need for a technology survey assistance tool that helps users find technologies with suitable capabilities. In this paper, two technical tasks were tackled to develop the prototype of this assistance tool: Extraction of advantage phrases and scoring for the advantage phrases to find novel applications in the target technology field. We describe a new method to identify advantage phrases in technical documents and our scoring function that gives higher scores to novel applications of the technology. The results of evaluations showed our phrase identification method with only a few phrasal patterns performs almost as well as human annotators, and the proposed scoring conforms better to the decisions made by professionals than random sort. |
| Databáze: | OpenAIRE |
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