Difference between revisions of "AIISC WIKI"

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* [[People-Content-Network Dynamics on Social Media]] : Understanding information, influence or popularity propagation in online social networks is a challenging problem with several contributing factors such as the timeliness and content of the information, the participants responsible for sharing the information, the structure of the network etc.  
 
* [[People-Content-Network Dynamics on Social Media]] : Understanding information, influence or popularity propagation in online social networks is a challenging problem with several contributing factors such as the timeliness and content of the information, the participants responsible for sharing the information, the structure of the network etc.  
 
* [[PhylOnt - Phyloinformatics]] : In revealing historical relationships among genes and species, phylogenies provide a unifying context across the life sciences for investigating diversification of biological form and function. The utility of phylogenies for addressing a wide variety of biological questions is evident in the rapidly increasing number of published gene and species trees. The impact that this deluge of species and gene tree estimates will have on our understanding of the forces that shape biodiversity will be limited by the accessibility of these trees, and the underlying data and methods of analysis. The true structure of species trees and gene trees is rarely known. Rather, estimates are obtained through the application of increasingly sophisticated phylogenetic inference methods to increasingly large and complicated datasets. The need for Minimum Information about Phylogenetic Analyses (MIAPA) reporting standard is clear, but specification of the standard has been hampered by the absence of controlled vocabularies to describe phylogenetic methodologies and workflows.
 
* [[PhylOnt - Phyloinformatics]] : In revealing historical relationships among genes and species, phylogenies provide a unifying context across the life sciences for investigating diversification of biological form and function. The utility of phylogenies for addressing a wide variety of biological questions is evident in the rapidly increasing number of published gene and species trees. The impact that this deluge of species and gene tree estimates will have on our understanding of the forces that shape biodiversity will be limited by the accessibility of these trees, and the underlying data and methods of analysis. The true structure of species trees and gene trees is rarely known. Rather, estimates are obtained through the application of increasingly sophisticated phylogenetic inference methods to increasingly large and complicated datasets. The need for Minimum Information about Phylogenetic Analyses (MIAPA) reporting standard is clear, but specification of the standard has been hampered by the absence of controlled vocabularies to describe phylogenetic methodologies and workflows.
* [[PREDOSE eScience,Health Care and Life Science, Semantic Social Web, Knowledge Acquisition and Validation]] : PREDOSE is the name of the NIH funded PREscription Drug abuse Online-Surveillance and Epidemiology projec(July 2011 - present) which is an inter-disciplinary collaborative project between the Ohio Center for Excellence in Knowledge-enabled Computing (Kno.e.sis) and the Center for Treatment  
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* [[PREDOSE]] eScience,Health Care and Life Science, Semantic Social Web, Knowledge Acquisition and Validation : PREDOSE is the name of the NIH funded PREscription Drug abuse Online-Surveillance and Epidemiology projec(July 2011 - present) which is an inter-disciplinary collaborative project between the Ohio Center for Excellence in Knowledge-enabled Computing (Kno.e.sis) and the Center for Treatment  
 
* [[Protein Structure]] : Understanding protein structure and the forces that drive protein folding is one of the most fundamental and challenging problems in biochemistry. We are pursuing a number of projects that explore the determinants of protein structure and improve computational structure prediction methods.
 
* [[Protein Structure]] : Understanding protein structure and the forces that drive protein folding is one of the most fundamental and challenging problems in biochemistry. We are pursuing a number of projects that explore the determinants of protein structure and improve computational structure prediction methods.
 
* [[RDF Query Processsing]] : Our work in Keyword Search Interface to express path queries in RDF provides the capability to take keywords and then extract semantic associations by transforming the keyword query into an internal representation of SPARQ2L.
 
* [[RDF Query Processsing]] : Our work in Keyword Search Interface to express path queries in RDF provides the capability to take keywords and then extract semantic associations by transforming the keyword query into an internal representation of SPARQ2L.

Revision as of 18:22, 5 June 2013

Kno.e.sis is a Center in the College of Engineering and Computer Science at Wright State University, founded as part of Ohio's Third Frontier program.

Our cutting-edge research in the use of semantic and services science for data integration, analysis, and process management complements daytaOhio's mission to leverage innovation in data-intensive technologies for economic expansion.

Kno.e.sis research focuses on realizing a knowledge society with semantics and services as key enablers. Our work leads to prototypes and their evaluation with the participation of academic and commercial partners, technology development and licensing followed by real-world deployment, and commercialization with our partner institution daytaOhio.

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Kno.e.sis Library available online at <http://knoesis.wright.edu/library>

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