Zobrazeno 1 - 4
of 4
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b72ae96b70f5cb457c710b6f5ee40cb7
http://link.springer.com/article/10.1007/s41109-019-0133-4
http://link.springer.com/article/10.1007/s41109-019-0133-4
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8746e57b59893f66ff95d7c3f2bd7a2b
https://doi.org/10.7566/jpscp.1.012026
https://doi.org/10.7566/jpscp.1.012026