Towards sharing student models across learning systems. In: International conference on artificial intelligence in education (pp. 60–65) Board, D. U. (2020). Dcmi metadata terms. https://www.dublincore.org/ specifications/dublin-core/dcmi-terms/ Boris, M., Peter, F. P.-S., Bernardo, C...
Deep learning models can accurately predict molecular properties and help making the search for potential drug candidates faster and more efficient. Many existing methods are purely data driven, focusing on exploiting the intrinsic topology and construct
International Joint Conference 7th Ibero-American Conference on AI(Artificial Intelligence) 15th Brazilian Symposium on AI(Artificial Intelligence) IBERAMIA-SBIA 2000 Atibaia, SP, Brazil; November 19-22, 2000M. Finger, W.W. Vasconcelos, Sharing resource-sensitive knowledge using comb...
Knowledge graphs (KG) have been used extensively in the recent past to solve complex problems in life sciences including drug discovery for rare diseases. Knowledge graphs are constructed with head entity-relation-tail entity (h, r, t)triples where entities correspond to nodes and relations corresp...
Entity alignment (EA) aims to automatically match entities in different knowledge graphs, which is beneficial to the development of knowledge-driven applic
When learning about knowledge graphs, you might come across articles onontologiesand wonder where they fit in. An ontology is a formal specification of the concepts and the relationships between them for a given subject area; semantic networks are a common way to represent ontologies. Put simply,...
Thus, a complementary approach that combines AI and knowledge sharing (KS) tool with other organizational factors need to be considered. The focus of such a complementary relationship is on improving productivity by constructing a knowledge-based system around the workforce in the organization (Malik ...
First, we index EHRs into Amazon Kendra for semantic and accurate document ranking out of patient notes, which help improve physician efficiency identifying patient notes and compare it with other patients sharing similar characteristics. This shifts from ...
Additionally, there is a need to develop an adaptable tool that encompasses most of these factors and can be exploited to assess trust in online settings. 2.3 Trust Ontologies in HRI In recent years, there has been growing interest in using ontologies for trust in HRI. Using ontologies for ...
Scorza, F., Casas, G.L., Murgante, B. (2010). Overcoming Interoperability Weaknesses in e-Government Processes: Organizing and Sharing Knowledge in Regional Development Programs Using Ontologies. In: Lytras, M.D., Ordonez de Pablos, P., Ziderman, A., Roulstone, A., Maurer, H., Imber...