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A deep learning approach to genomics data for population scale clustering and ethnicity prediction
(CEUR-WS.org, 2017-05-28)
The understanding of variations in genome sequences assists us in identifying
people who are predisposed to common diseases, solving rare diseases, and finding
corresponding population group of the individuals from a ...
Extending inner-ear anatomical concepts in the Foundational Model of Anatomy (FMA) ontology
(IEEE, 2015-11-02)
The inner ear is physically inaccessible in living
humans, which leads to unique difficulties in studying its
normal function and pathology as in other human organs.
Recently, biosimulation model has gained a significant ...
Financial Industry Ontologies for Risk and Regulation Data (FIORD): a position paper
(2013)
This paper presents a proposed approach to address risk andregulation management within the highly active and volatile financial domainby employing semantic based technologies within a collaborative networksenvironment. ...
SemStim at the Linked Open Data-enabled Recommender Systems 2014 challenge
(Springer, 2014-10-14)
SemStim is a graph-based recommendation algorithm which is based on Spreading Activation and adds targeted activation and duration constraints. SemStim is not affected by data sparsity, the cold-start problem or data quality ...
A Roadmap for navigating the Life Sciences Linked Open Data Cloud
(2014)
Multiple datasets that add high value to biomedical research have been exposed on the web as a part of the Life Sciences Linked Open Data (LSLOD) Cloud. The ability to easily navigate through these datasets is crucial for ...
Argumentation 3.0: how Semantic Web technologies can improve argumentation modeling in Web 2.0 environments
(2010)
Argumentative discussions are common in Web 2.0 applications, but the social Web still offers limited or no explicit support for argumentation. As Web 2.0 applications become more popular, modeling argumentation happening ...
Rewriting simplified text into a controlled natural language
(IOS Press, 2018-08-27)
While machine processable Controlled Natural Languages (CNLs) as a natural language interface have proven a popular, unambiguous and user friendly method for non experts to engineer formal knowledge-bases, human-oriented ...
Engineering an aligned gold-standard corpus of human to machine oriented Controlled Natural Language
(IEEE, 2018-12-03)
Knowledge base creation and population are an essential formal backbone for a variety of intelligent applications, decision support and expert systems and intelligent search. While the abundance of unstructured text helps ...