A study of reasoning mechanisms for Semantic Web data

2017 Fiscal Year Final Research Report

• 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
• Keywords: セマンティックWeb / RDFデータ

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.

Free Research Field

知識表現と推論