Modelling expertise at different levels of granularity using semantic similarity measures in the context of collaborative knowledge-curation platforms-Reference-Cited by-同舟云学术

Modelling expertise at different levels of granularity using semantic similarity measures in the context of collaborative knowledge-curation platforms

Published:2015-08-19 Issue:3 Volume:47 Page:469-490
ISSN:0925-9902
Container-title:Journal of Intelligent Information Systems
language:en
Short-container-title:J Intell Inf Syst

Author:

Ziaimatin Hasti,Groza Tudor,Tudorache Tania,Hunter Jane

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10844-015-0376-1.pdf

Reference29 articles.

1. Balog, K. (2008). People search in the enterprise. Ph.D. thesis, University of Amsterdam.

2. Biomed Experts (2014). http://www.biomedexperts.com/ . Accessed 17 September 2014.

3. Bizer, C., Heath, T., & Berners-Lee, T. (2009). Linked data – the story so far. International Journal on Semantic Web and Information Systems, 5(3), 1–22.

4. Chodorow, M., & Leacock, C. (1997). Combining local context and WordNet similarity for word sense identification. Fellbaum, 265–283.

5. Groza, T., & Tudorache, T. (2013). Dumontier, M.: State of the art and open challenges in community-driven knowledge curation. Journal of Biomedical Informatics, 46(1), 1–4.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. T-shaped expert mining: a novel approach based on skill translation and focal loss;Journal of Intelligent Information Systems;2023-11-28

2. Research outlook and state-of-the-art methods in context awareness data modeling and retrieval;Evolutionary Intelligence;2019-08-16