2015 Fiscal Year Final Research Report
Organizing Web Pages based on Detailing Relationship
Project/Area Number |
24700097
|
Research Category |
Grant-in-Aid for Young Scientists (B)
|
Allocation Type | Multi-year Fund |
Research Field |
Media informatics/Database
|
Research Institution | University of Hyogo |
Principal Investigator |
Yumoto Takayuki 兵庫県立大学, 工学(系)研究科(研究院), 助教 (20453152)
|
Project Period (FY) |
2012-04-01 – 2016-03-31
|
Keywords | 情報組織化 / ハウツー情報 / 評判情報 / 機械学習 |
Outline of Final Research Achievements |
We focused on 3 types of information, how-to, review and news articles, and we proposed methods to extract elements from them. Then, we developed systems that organized them and navigated users to more detailed information. For how-to information and reviews, we use machine learning to extract the elements. For news articles, we find correspondence between the elements using context-independent methods and context-dependent methods. In the context-independent methods, we use synonym dictionaries and edit distance. In the context-dependent methods, we find on term correspondence in depending relationship.
|
Free Research Field |
情報検索
|