Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Vetle I. Torvik"'
Publikováno v:
International Journal of Digital Curation, Vol 18, Iss 1 (2024)
Entity resolution (ER) is the process of determining whether two representations refer to the same real-world entity and plays a crucial role in data curation and data cleaning. Recent studies have introduced the KAER framework, aiming to improve pre
Externí odkaz:
https://doaj.org/article/804391c4c9724551bb1f38dad2c0ea78
Autor:
Tzu-Kun Hsiao, Vetle I. Torvik
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-17 (2023)
Abstract OpCitance contains all the sentences from 2 million PubMed Central open-access (PMCOA) articles, with 137 million inline citations annotated (i.e., the “citation contexts”). Parsing out the references and citation contexts from the PMCOA
Externí odkaz:
https://doaj.org/article/c204b5950ccb4a93af855bba56ed4841
Publikováno v:
Journal of the Medical Library Association, Vol 110, Iss 1 (2022)
Background: An article’s citations are useful for finding related articles that may not be readily found by keyword searches or textual similarity. Citation analysis is also important for analyzing scientific innovation and the structure of the bio
Externí odkaz:
https://doaj.org/article/8e3480c2abd04d62943db3538b163701
Autor:
Magnus Palmblad, Vetle I. Torvik
Publikováno v:
Tropical Medicine and Health, Vol 45, Iss 1, Pp 1-9 (2017)
Abstract Background Tropical medicine appeared as a distinct sub-discipline in the late nineteenth century, during a period of rapid European colonial expansion in Africa and Asia. After a dramatic drop after World War II, research on tropical diseas
Externí odkaz:
https://doaj.org/article/483cb22dafdb44508ae12352e112496e
Publikováno v:
Information, Vol 2, Iss 2, Pp 266-276 (2011)
Given the occurrence frequency of any term within any set of articles within MEDLINE, we define “characteristic” terms as words and phrases that occur in that literature more frequently than expected by chance (at p < 0.001 or better). In this re
Externí odkaz:
https://doaj.org/article/4fbe5312003f40b4aee1d1ccad1dc48a
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Autor:
Tzu Kun Hsiao, Vetle I. Torvik
Publikováno v:
Proceedings of the Association for Information Science and Technology. 56:417-421
Autor:
Tzu Kun Hsiao, Vetle I. Torvik
Publikováno v:
Proceedings of the Association for Information Science and Technology. 57
Autor:
Xiaoliang Jiang, Vetle I. Torvik
Publikováno v:
JCDL
How hard is it to systematically identify and disambiguate place names in scientific text? In order to address this question, we applied MapAffil, a toponymic search interface, on a random sample of 500 place name sentences from PubMed abstracts. The
Autor:
Chongyan Chen, Weijia Xu, Vetle I. Torvik, Jaewoo Kang, Xin Li, Daifeng Li, Ying Ding, Min Song, Justin F. Rousseau, Donghyeon Kim, Minbyul Jeong, Sunkyu Kim, Islam Akef Ebeid, Jian Xu, Yi Bu
Publikováno v:
Scientific Data
Scientific Data, Vol 7, Iss 1, Pp 1-15 (2020)
Scientific Data, Vol 7, Iss 1, Pp 1-15 (2020)
PubMed is an essential resource for the medical domain, but useful concepts are either difficult to extract or are ambiguated, which has significantly hindered knowledge discovery. To address this issue, we constructed a PubMed knowledge graph (PKG)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7a47917bb24bc72cdad049670c21f0e
http://arxiv.org/abs/2005.04308
http://arxiv.org/abs/2005.04308