This HTML5 document contains 177 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
wdthttp://www.wikidata.org/prop/direct/
wdtnhttp://www.wikidata.org/prop/direct-normalized/
schemahttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
rdfshttp://www.w3.org/2000/01/rdf-schema#
n12http://dx.doi.org/10.1186/
wikibasehttp://wikiba.se/ontology#
phttp://www.wikidata.org/prop/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n14https://dblp.org/rec/journals/bmcsb/
n10http://rdf.ncbi.nlm.nih.gov/pubchem/reference/
xsdhhttp://www.w3.org/2001/XMLSchema#
wdshttp://www.wikidata.org/entity/statement/
n4https://scigraph.springernature.com/pub.10.1186/
wdhttp://www.wikidata.org/entity/

Statements

Subject Item
wd:Q36120437
rdf:type
wikibase:Item
schema:description
tudományos cikk 2016年の論文 2016年论文 vetenskaplig artikel vitenskapelig artikkel مقالهٔ علمی 2016年論文 artículu científicu espublizáu en 2016 2016 nî lūn-bûn 2016年论文 videnskabelig artikel (udgivet 2016) artigo científico article científic vědecký článek 2016年論文 2016年論文 мақолаи илмӣ artikull shkencor 2016년 논문 bài báo khoa học научни чланак artigo científico (publicado na 2016) научни чланак tieteellinen artikkeli naučni članak мақолаи илмӣ scientific article 2016年论文 სამეცნიერო სტატია научная статья գիտական հոդված teaduslik artikkel article scientific 2016年論文 سائنسی مضمون bilimsel makale vedecký článok artículo científico publicado en 2016 2016年论文 2016年论文 ২০১৬-এ প্রকাশিত বৈজ্ঞানিক নিবন্ধ wissenschaftlicher Artikel artigo científico (publicado na 2016) wetenschappelijk artikel articolo scientifico 2016年論文 2016年论文 article scientifique (publié 2016) scienca artikolo artikulong pang-agham vitskapeleg artikkel научна статия mokslinis straipsnis articol științific επιστημονικό άρθρο наукова стаття, опублікована в серпні 2016 מאמר מדעי artykuł naukowy บทความทางวิทยาศาสตร์ مقالة علمية
p:P577
wds:Q36120437-337CB24C-EC35-43E3-8564-28B6DDFDF163
wdt:P577
2016-08-26T00:00:00Z
p:P407
wds:Q36120437-D82E6FB3-8CF7-4389-811D-1863077BBA96
wdt:P407
wd:Q1860
p:P2888
wds:Q36120437-AB411325-1A32-4A0A-8F7D-1675580EF3A7
wdt:P2888
n4:s12918-016-0311-2
p:P2860
wds:Q36120437-E1FFD1A7-D2D9-475A-B323-B57EB2623CA0 wds:Q36120437-E8EA89FF-3829-402A-8FF7-9A60AB7B31C6 wds:Q36120437-F109B5FE-7857-4889-BB61-2F654C4797AA wds:Q36120437-F8DA50CF-9C46-4EB7-B8B1-34EF03AF5068 wds:Q36120437-29CFBCC8-B0CD-4125-95B5-848E855428E1 wds:Q36120437-FAF7D919-35FE-433A-87F8-1CD5F94AC8C9 wds:Q36120437-3E383E10-3D65-439B-8BD3-591AFACECA13 wds:Q36120437-44D1FB23-DC4D-423D-8CA1-DFC57BAEC6D1 wds:Q36120437-CAE9D4BE-8AA7-4B8D-824E-636F974CD71B wds:Q36120437-491D7B9D-883F-47DA-AEAB-CE5107BABBB6 wds:Q36120437-49E50CF5-3070-45F7-8AE9-B58E8D3CBB77 wds:Q36120437-D14D2A56-5AFA-4E40-86A2-62A91596F0DB wds:Q36120437-4A3CCF14-806B-4861-A09F-51E806F85D6C wds:Q36120437-0C5D773C-AA3E-4241-A647-2C2BF2837ECC wds:Q36120437-0DFA98BC-C94E-4179-89CB-6C66C75AA0A2 wds:Q36120437-D7A688B2-1CA4-4170-A41D-05264BE07E52 wds:Q36120437-18882809-DE23-4A14-A0AF-A7084857DF3D wds:Q36120437-1C2FBF87-9B0F-4D45-87E4-C34F59B83D81 wds:Q36120437-94A5308B-FB1E-4917-9CB4-9D938E5AB312 wds:Q36120437-A3F03C9A-1F02-428E-AC76-B2FA2D878DB1 wds:Q36120437-FE719EEA-A289-4546-BECD-583AD32327B8 wds:Q36120437-AA5BE681-D25B-4930-AC6B-3A6F34BE0E2C wds:Q36120437-ACCEF9A1-656E-4E25-B051-7DF5F5209AF3 wds:Q36120437-4BF3CBAE-1F8F-415C-ACF9-6E86502A8FFC wds:Q36120437-52080443-DD04-4B70-840B-1992683187B8 wds:Q36120437-65FF94A3-D78E-4781-AA4E-C5C77C6B754C wds:Q36120437-68E531E8-844A-41AD-A7B2-0DA844C69596 wds:Q36120437-8A4E3BD4-9F02-40F3-8EDC-B78CF29B5088 wds:Q36120437-90BB5D67-4C09-46C9-B44F-C1C3D900EBB0 wds:Q36120437-0B4A36F0-99F3-499C-A06A-CC27B2CA4E33
wdt:P2860
wd:Q37665919 wd:Q46693529 wd:Q82362440 wd:Q36432186 wd:Q24650300 wd:Q45898708 wd:Q35751556 wd:Q34110394 wd:Q37214533 wd:Q83771013 wd:Q37440022 wd:Q37257012 wd:Q34572334 wd:Q56851544 wd:Q34424127 wd:Q34132352 wd:Q37052260 wd:Q33871423 wd:Q38429744 wd:Q38194997 wd:Q37348321 wd:Q36677190 wd:Q40739350 wd:Q37812191 wd:Q29547612 wd:Q43454895 wd:Q87181232 wd:Q33386306 wd:Q35130698 wd:Q28533902
p:P2093
wds:Q36120437-CBD18DA6-F033-4141-8C5B-F175D7263A08 wds:Q36120437-B9512B77-8C2B-4C59-9DD5-B9FC37BDD252 wds:Q36120437-0B9BFFDB-12DD-41FC-9161-CF162D9D8708 wds:Q36120437-0A9BB9E5-704F-44FD-B2EF-68A5EC9B2D36 wds:Q36120437-229E26C4-8CB8-432B-9B32-132527D9FBB7 wds:Q36120437-173367E3-8D7C-48C4-9D50-9EF60BB84DD8
wdt:P2093
Jun Xu Yaoyun Zhang Jingqi Wang Heng-Yi Wu Hua Xu Lang Li
rdfs:label
Leveraging syntactic and semantic graph kernels to extract pharmacokinetic drug drug interactions from biomedical literature Leveraging syntactic and semantic graph kernels to extract pharmacokinetic drug drug interactions from biomedical literature Leveraging syntactic and semantic graph kernels to extract pharmacokinetic drug drug interactions from biomedical literature
skos:prefLabel
Leveraging syntactic and semantic graph kernels to extract pharmacokinetic drug drug interactions from biomedical literature Leveraging syntactic and semantic graph kernels to extract pharmacokinetic drug drug interactions from biomedical literature Leveraging syntactic and semantic graph kernels to extract pharmacokinetic drug drug interactions from biomedical literature
schema:name
Leveraging syntactic and semantic graph kernels to extract pharmacokinetic drug drug interactions from biomedical literature Leveraging syntactic and semantic graph kernels to extract pharmacokinetic drug drug interactions from biomedical literature Leveraging syntactic and semantic graph kernels to extract pharmacokinetic drug drug interactions from biomedical literature
p:P50
wds:Q36120437-4EF94465-EEE8-49D5-ABF7-79D066221300
wdt:P50
wd:Q57143392
p:P1476
wds:Q36120437-DF911FA1-BD18-4CAD-A901-588CF104D1C5
wdt:P1476
Leveraging syntactic and semantic graph kernels to extract pharmacokinetic drug drug interactions from biomedical literature
p:P304
wds:Q36120437-8C879976-0CB8-41CA-BA25-03C773B6B348
wdt:P304
67
p:P31
wds:Q36120437-9650E7B7-F4B3-40FA-97C6-F4073A3D9D83
wdt:P31
wd:Q13442814
p:P921
wds:Q36120437-1648DC19-E8F5-45AA-A461-F2A7C0A15F54
wdt:P921
wd:Q718753
p:P698
wds:Q36120437-D699BC1E-4ACA-4DA8-B9CD-89C60ED80BC4
wdtn:P698
n10:27585838
wdt:P698
27585838
p:P8978
wds:Q36120437-AB9F2EB2-0F9C-40F1-956B-1E5615495075
wdtn:P8978
n14:ZhangW0WSLX16
wdt:P8978
journals/bmcsb/ZhangW0WSLX16
p:P1433
wds:Q36120437-46DCC792-C821-4A02-8F98-50F1C0672A4D
wdt:P1433
wd:Q4835949
p:P433
wds:Q36120437-B0FE9DB7-1186-4794-9FC1-354E1C529818
p:P478
wds:Q36120437-FD2D8324-A600-4E79-A044-1B05F5B342AD
wdt:P433
S3
wdt:P478
10 Suppl 3
p:P356
wds:Q36120437-0E6048CD-A088-407F-9C14-9284461241BA
wdtn:P356
n12:S12918-016-0311-2
wdt:P356
10.1186/S12918-016-0311-2
p:P6179
wds:Q36120437-9EA35EF4-5ABC-4160-A618-F42E77FEB7CE
wdt:P6179
1026382690
p:P932
wds:Q36120437-D48BFA79-5438-4331-9680-4B99D9BEE1EF
wdt:P932
5009562