Description
| Title | Semantic Technology for Research Data Search |
| Abstract | Scientific research data is the data collected using specific methods for a specific purpose of studying or analysing. Extremely large amount of scientific research data have been available for the communities. It is time consuming for scientists/researchers to find, explore, and re-use research data from those large amount and scale of scientific research data. In this talk, we will show how the Semantic Technology can be used for research data search engine. In particular, we will show a case study of data search with BioCaddie Data in Biomedical domains. |
Other presentations by Zhisheng Huang
| Date | Title |
|---|---|
| 13 November 2006 | |
| 07 January 2008 | |
| 24 November 2008 | Ontology Versioning and Effect Space |
| 05 October 2009 | Evaluation and Benchmarking of Ontology Reasoners |
| 03 October 2011 | A Hybrid Spatial Logic for Geodetic Reasoning |
| 21 January 2013 | SemanticCT: A Semantically-Enabled System for Clinical Trials |
| 18 November 2013 | Knowledge-based Patient Data Generation |
| 01 September 2014 | Feasibility Estimation for Clinical Trials |
| 30 March 2015 | Identifying Evidence Quality for Updating Evidence-based Medical Guidelines |
| 07 March 2016 | Semantic Processing of Medical Text with NLP tools |
| 19 December 2016 | Smart Ward |
| 22 May 2017 | Constructing Disease-centric Knowledge Graphs: a case study for depression |
| 17 September 2018 | Semantic Technology for Research Data Search |