Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Seiya Inagi"'
Autor:
Yohei Onuki, Tsuyoshi Murata, Shun Nukui, Seiya Inagi, Xule Qiu, Masao Watanabe, Hiroshi Okamoto
Publikováno v:
Applied Network Science, Vol 4, Iss 1, Pp 1-17 (2019)
Abstract Knowledge graph will be usefull for the intelligent system. As the relationship prediction on the knowledge graph becomes accurate, construction of a knowledge graph and detection of erroneous information included in a knowledge graph can be
Externí odkaz:
https://doaj.org/article/ffb9f2dd82ea4e739107ebba907d9927
Autor:
Shun Nukui, Tsuyoshi Murata, Hiroshi Okamoto, Masao Watanabe, Qiu Xule, Yohei Onuki, Seiya Inagi
Publikováno v:
Applied Network Science, Vol 4, Iss 1, Pp 1-17 (2019)
Knowledge graph will be usefull for the intelligent system. As the relationship prediction on the knowledge graph becomes accurate, construction of a knowledge graph and detection of erroneous information included in a knowledge graph can be performe
Autor:
Shun Nukui, Tsuyoshi Murata, Yohei Onuki, Masao Watanabe, Qiu Xule, Seiya Inagi, Hiroshi Okamoto
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319704067
ESWC (Satellite Events)
ESWC (Satellite Events)
In the process of ontology construction, we often need to find relations between entities described by the Resource Description Framework (RDF). Predicting relations between RDF entities is important for developing large-scale ontologies. The goal of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb62f636b278d5e0c02cb2b85ba069da
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100757379
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100757379
Publikováno v:
Proceedings of the 12th Asia Pacific Physics Conference (APPC12).
FeAs layers mainly contribute to carrier conduction in superconducting iron-based mixed anion compounds, LnFeAsO1-xFx. The FeAs layers are composed of edge-sharing distorted FeAs4 tetrahedra in LnFeAsO1-xFx. As-Fe-As bond angle along a-axis () is
Autor:
一般社団法人 人工知能学会 編集・発行
話題の人工知能の粋を集めた学会誌 話題の人工知能の粋を集めた学会誌人工知能に関する専門家からのさまざまな研究結果、レポートを載せ、この分野における最新の情報を掲載してい
Autor:
Eva Blomqvist, Katja Hose, Heiko Paulheim, Agnieszka Ławrynowicz, Fabio Ciravegna, Olaf Hartig
This book constitutes the thoroughly refereed post-conference proceedings of the Satellite Events of the 14th European Conference on the Semantic Web, ESWC 2017, held in Portoroz, Slovenia, in May/June2017.The volume contains 8 poster and 24 demons