Description
| Title | Querying over semantically rich data inspired by models of cognition |
| Abstract | One of the topics in Larkc project (large scale reasoning) is whether cognitive models can help in large scale reasoning. The main question in Arjon's thesis is whether and how to use cognitively inspired models for querying over semantically rich data. The idea is to find the best answers to a query. This is realised by the concept of similarity-based methods from the psychology literature. Similarity-based methods provide a way to find quick improvements in reasoning that require little information. From the view point of computer science this gives new methods for selecting the best answers. From the cognitive viewpoint this enables to test cognitive models on much larger sets of data then would be possible in regular modeling environments. This project give some first results. |
Other presentations by Annette ten Teije
| Date | Title |
|---|---|
| 09 October 2006 | |
| 11 February 2008 | |
| 14 September 2009 | Knowledge Engineering rediscovered: Towards Reasoning Patterns for the Semantic Web |
| 24 January 2011 | Querying over semantically rich data inspired by models of cognition |
| 19 March 2012 | Current work of the KR&R group in the medical domain |
| 30 September 2013 | General KR-themes of our medical work. |
| 15 September 2014 | Identifying new articles for supporting the guideline update process |
| 25 January 2016 | Exploit the medical domain for gaining insights into knowledge graphs |
| 14 January 2019 | IMPORTANT: Come to the WAI to discuss and decide about the WAI format! |