Difference between revisions of "AIISC WIKI"

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* [[Kino]] : A combination of browser plugin and back-end Indexer
 
* [[Kino]] : A combination of browser plugin and back-end Indexer
 
* [[Kino-phylo- Phyloinformatics]] : Kino for phylogeny, also known as Kino-phylo, is an integrated suite of tools that enables scientists to annotate phylogeny related Web documents. Kino-phylo uses PhylOnt as well as other NCBO ontologies. Kino-phylo consists of an NCBO integrated front-end that allows the convenient annotation and submission of web documents through a browser plug-in, and an annotation aware back-end, capable of providing faceted search capabilites. These annotations have a variety of uses, ranging from extended search capabilities to advanced data mining.  
 
* [[Kino-phylo- Phyloinformatics]] : Kino for phylogeny, also known as Kino-phylo, is an integrated suite of tools that enables scientists to annotate phylogeny related Web documents. Kino-phylo uses PhylOnt as well as other NCBO ontologies. Kino-phylo consists of an NCBO integrated front-end that allows the convenient annotation and submission of web documents through a browser plug-in, and an annotation aware back-end, capable of providing faceted search capabilites. These annotations have a variety of uses, ranging from extended search capabilities to advanced data mining.  
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*[http://www.knoesis.org/research/KDDM KDDM: AFRL/RX Materials Database Knowledge Discovery and Data Mining]:
 
* [[Kno.e.com - Knowledge-enabled Content Management]] :
 
* [[Kno.e.com - Knowledge-enabled Content Management]] :
 
* [[Knowledge-Aware-Search]] :  
 
* [[Knowledge-Aware-Search]] :  
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* [[Scooner]]: Semantically Connecting Objects through Named Entities and Relationships : The limitations of key word based search are well known in the information retrieval field. These are more evident in life sciences where most of the reliable scientific information is spread across biomedical literature in the form textual journal articles.
 
* [[Scooner]]: Semantically Connecting Objects through Named Entities and Relationships : The limitations of key word based search are well known in the information retrieval field. These are more evident in life sciences where most of the reliable scientific information is spread across biomedical literature in the form textual journal articles.
 
* [[SEM-Semantics-enabled Editorial Management]] :  
 
* [[SEM-Semantics-enabled Editorial Management]] :  
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*[http://www.knoesis.org/research/fssSemmat: Federated Semantic Services Platform for Open Materials Science and Engineering]
 
* <span class="plainlinks"><font color="002bb8">[http://knoesis.wright.edu/research/semweb/projects/socialmedia Semantics driven Content Analysis of Social Media]</font></span>
 
* <span class="plainlinks"><font color="002bb8">[http://knoesis.wright.edu/research/semweb/projects/socialmedia Semantics driven Content Analysis of Social Media]</font></span>
 
* [[Semantics Driven Analysis of Social Media]] : Over the last few years, there has been a growing public fascination with 'social media' and its role in modern society. At the heart of this fascination is the ability for users to create and share content via a variety of platforms such as blogs, micro-blogs, collaborative wikis, multimedia sharing sites, social networking sites etc.
 
* [[Semantics Driven Analysis of Social Media]] : Over the last few years, there has been a growing public fascination with 'social media' and its role in modern society. At the heart of this fascination is the ability for users to create and share content via a variety of platforms such as blogs, micro-blogs, collaborative wikis, multimedia sharing sites, social networking sites etc.

Revision as of 21:05, 3 September 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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