A study of reasoning mechanisms for Semantic Web data
Project/Area Number |
25330360
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Web informatics, Service informatics
|
Research Institution | The University of Electro-Communications |
Principal Investigator |
Kaneiwa Ken 電気通信大学, 大学院情報理工学研究科, 教授 (00342626)
|
Project Period (FY) |
2013-04-01 – 2018-03-31
|
Project Status |
Completed (Fiscal Year 2017)
|
Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2017: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2016: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2015: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2014: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
|
Keywords | セマンティックWeb / RDFデータ / セマンティックウェブ |
Outline of Final Research Achievements |
We have developed a query and reasoning system using concept expressions in description logic that returns answers from RDF data. In addition to the system, we have implemented a fast RDF store system for reasoning and searching in large RDF datasets. In order for users to search knowledge, we have proposed a method that translates keywords and Japanese sentences into RDF queries. We have designed algorithms for machine learning and data mining that infer knowledge from users' ambiguous interests.
|
Report
(6 results)
Research Products
(18 results)