Difference between revisions of "AIISC WIKI"

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[http://knoesis.org 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.
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[http://aiisc.ai AI Institute] is a Center at the University of South Carolina, founded under the Excellence Initiative program.
  
 
{{Infobox
 
{{Infobox
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|title = Kno.e.sis
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|title = AIISC
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|header1 = Kno.e.sis, Ohio Center of Excellence in Knowledge-enabled Computing
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|header1 = The AI Institute, the University of South Carolina
 
|label2 = Configured by
 
|label2 = Configured by
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|data2 = knoesis
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|data2 = aiisc
 
|label3 = Web
 
|label3 = Web
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|data3 = [http://knoesis.org knoesis.org]
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|data3 = [http://aiisc.ai aiisc.ai]
 
}}
 
}}
  
  
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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.
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Our cutting-edge research in the use of semantic and services science for data integration, analysis, and process management complements South Carolina's mission to leverage innovation in data-intensive technologies for economic expansion.
  
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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.  
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AIISC 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.  
  
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= Articles =  
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= Projects and Themes =  
  
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Kno.e.sis Library available online at <http://knoesis.wright.edu/library>
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'''Active Projects'''
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* [[Semantics Empowered Social Computing]] : Semantics Empowered Social Computing
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* [[Neurosymbolic Artificial Intelligence Research at AIISC]]
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* [[Blazing Semantic Trails]] : Relationship Web: Blazing Semantic Trails between Web Resources
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* [[EAGER: Knowledge-guided neurosymbolic AI with guardrails for safe virtual health assistants]]
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* [[eDrugTrends]] : Trending: Social media analysis to monitor cannabis and synthetic cannabinoid use
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* [[Mental Health Projects]]
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* [[Social Signals]] : A Playground for Mobile Sensors, Human Computing, and Semantic Analytics
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* [[ABC-AI]], ''Start: 2022''
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* [[Modeling for cloud]] : Semantic Modeling for Cloud computing
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* [[AIISC Knowledge Graph]]
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* [[Computing For Human Experience]]: Computing For Human Experience
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* [[Computational Analogy Making]]
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* [[Continuous Semantics to Analyze Real Time_Data]]: Continuous Semantics to Analyze Real-Time Data
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* [[EMPWR: Knowledge Graph Development Platform]], ''Start: 2022''
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* [[Citizen Sensing]] : Citizen Sensing, Social Signals, and Enriching Human Experience
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* [[metaLearning]]: Meta-Learning Multi-Agent Communication, ''Qi Zhang (PI), June 2021''
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* [[PCS]]: Physical-Cyber-Social Computing: An Early 21st Century Approach to Computing for Human Experience
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* [[kHealth - Diabetes]], ''Start: June 2021''
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* [[Twitris]]: Twitris- a System for Collective Social Intelligence
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= Projects by 12 Categories =
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* [[Covid19]]: Measuring the Spatio-Temporal Psychological Impact of Novel Coronavirus with a Social Quality Index, ''start: 2020''
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* [[KHealth Chatbots]], ''Start 2017''
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* [[Public Health Addictions Research at AIISC]]
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* [[AI/ML-Readiness for Neuroimaging of Language, National Institutes of Health]]
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* [[Advancing Neuro-symbolic AI with Deep Knowledge-infused Learning]]
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* [[Application of Artificial Intelligence to Assist People with Hearing Impairments Learn American Sign Language]], '' Start: May 2022''
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* [[Food Computation]]
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* [[Systematic Review Assitance using Leveraging Background Knowledge and Language Models]]
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* [[Smart manufacturing]]
  
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* [http://wiki.knoesis.org/index.php/MaterialWays Material Informatics]:
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Archive List
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* [[:Category:Information Extraction]]
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* [[:Category:Information Exploration]]
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* [[:Category:Annotation]]
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* [[:Category:Microblogging]]
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* [[:Category:Linked Data]]
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* [[:Category:Cloud Computing]]
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* [[:Category:Open Source]]
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= Projects by Title =
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'''Archived Projects and Resources'''
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* [[Autism AI-IMB]]
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'''Active Projects'''
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* [[DAO]]: Drug Abuse Ontology, ''Start: 2011''
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* [[Community-Driven Data Engineering for Substance Abuse Prevention in the Rural Midwest]], ''Start 2018''
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* [[Biomedical Vocabulary Alignment at Scale in the UMLS Metathesaurus]]
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* [[KHealth: Semantic Multisensory Mobile Approach to Personalized Asthma Care]]
 
* [[Context-Aware Harassment Detection on Social Media]]
 
* [[Context-Aware Harassment Detection on Social Media]]
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* [[eDrugTrends]] : Trending: Social media analysis to monitor cannabis and synthetic cannabinoid use. The ultimate goal of this project is to decrease the burden of psychoactive substance use in the United States. We develop and deploy an innovative software platform, eDrugTrends, capable of semi-automated processing of social media data to- identify emerging trends in cannabis and synthetic cannabinoid use in the U.S.
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* [[Modeling Radicalization on Social Media using Knowledge-infused and Context-aware Learning]]
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* [https://medicine.wright.edu/lifespan-health-research-center/fels-longitudinal-study/history The Fels Longitudinal Study and Related Projects]
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* [http://wiki.aiisc.ai/index.php/Public_Health_Addictions_Research_at_AIISC#Opioids_Addcitions_Research_-_Edark_Trends eDarkTrends:Monitoring Cryptomarkets to Identify Emerging Trends of Illicit Synthetic Opioids Use]
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* [[eDrugTrends]] : Trending Social media analysis to monitor cannabis and synthetic cannabinoid use.
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* [[Apihut]] : Faceted Search and Indexing for Web pages
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* [[Modeling Social Behavior for Healthcare Utilization in Depression]]
 
* Hazards SEES : [[Social and Physical Sensing Enabled Decision Support]]  
 
* Hazards SEES : [[Social and Physical Sensing Enabled Decision Support]]  
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* [[KHealth: Semantic Multisensory Mobile Approach to Personalized Asthma Care]]
 
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* [[Market Driven Innovations and Scaling up of Twitris]] : A System for Collective Social Intelligence
 
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* [[MIDAS]]
 
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* [[Modeling Social Behavior for Healthcare Utilization in Depression]]
 
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* [[NIDA National Early Warning System Network (iN3)]]
 
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* [[Project Safe Neighborhood]] : Westwood Partnership to Prevent Juvenile Repeat Offenders
 
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* [http://knoesis.org/?q=research/semMat SemMat: Federated Semantic Services Platform for Open Materials Science and Engineering]
 
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* [[Towards Understanding and Mitigating the Impact of Web Robot Traffic on Web Systems]]
 
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'''Archived Projects'''
 
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* [[Apihut]] : Faceted Search and Indexing for Web pages
 
 
* [[BLOOMS]] : an ontology alignment system based on the idea of bootstrapping information already present on the LOD cloud. It was developed particularly for Linked Open Data schema alignment.
 
* [[BLOOMS]] : an ontology alignment system based on the idea of bootstrapping information already present on the LOD cloud. It was developed particularly for Linked Open Data schema alignment.
 
* [[Cirrocumulus]] : This research is likely to initiate a mindset shift on the process of modeling, development, deployment and management of cloud based applications and initiate long term research in the same context. [http://knoesis.org/?q=research/srl/projects/cirrocumulus/ Cirrocumulus] : The Cloud Application Platform
 
* [[Cirrocumulus]] : This research is likely to initiate a mindset shift on the process of modeling, development, deployment and management of cloud based applications and initiate long term research in the same context. [http://knoesis.org/?q=research/srl/projects/cirrocumulus/ Cirrocumulus] : The Cloud Application Platform
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* [[Cuebee]]: Knowledge Driven Query Formulation.
 
* [[Cuebee]]: Knowledge Driven Query Formulation.
 
* [[Doozer]] : an application that aims at generating or extracting a domain model from Wikipedia or other similarly structured knowledge sources. It takes as input an incomplete description of a domain, such as a query or list of seed concepts.  
 
* [[Doozer]] : an application that aims at generating or extracting a domain model from Wikipedia or other similarly structured knowledge sources. It takes as input an incomplete description of a domain, such as a query or list of seed concepts.  
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* [https://medicine.wright.edu/lifespan-health-research-center/fels-longitudinal-study/history The Fels Longitudinal Study and Related Projects]
 
* [[hRESTs]] : The Web 2.0 wave brings, among other aspects, the Programmable Web: increasing numbers of Web sites provide machine-oriented APIs and Web services.  
 
* [[hRESTs]] : The Web 2.0 wave brings, among other aspects, the Programmable Web: increasing numbers of Web sites provide machine-oriented APIs and Web services.  
 
* [[Human Performance and Cognition Ontology]] :
 
* [[Human Performance and Cognition Ontology]] :
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* [[Knowledge-Aware-Search]] :  
 
* [[Knowledge-Aware-Search]] :  
 
* [[Linked Open Social Signals]]: Handling information overload in collectively analyzing observations, opinions and other social signals from the Web
 
* [[Linked Open Social Signals]]: Handling information overload in collectively analyzing observations, opinions and other social signals from the Web
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* [[Market Driven Innovations and Scaling up of Twitris]] : A System for Collective Social Intelligence
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* [[MIDAS]]
 
* [[MobiCloud_Web_UI | MobiCloud ]] : MobiCloud Web based Composer
 
* [[MobiCloud_Web_UI | MobiCloud ]] : MobiCloud Web based Composer
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* [[NIDA National Early Warning System Network (iN3)]]
 
* [[PCS]] : Physical-Cyber-Social Computing
 
* [[PCS]] : Physical-Cyber-Social Computing
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* [[Project Safe Neighborhood]] : Westwood Partnership to Prevent Juvenile Repeat Offenders
 
* [[Obvio]] : Semantic Predications for Literature-based Discovery
 
* [[Obvio]] : Semantic Predications for Literature-based Discovery
 
* [[PhylOnt]] : 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]] : 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.
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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  
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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 project (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  
 
* [[SA-REST]] : SA-REST Draft version (obsolete)
 
* [[SA-REST]] : SA-REST Draft version (obsolete)
 
* [[SA-REST Annotator]] : Annotation plugin for SA-REST
 
* [[SA-REST Annotator]] : Annotation plugin for SA-REST
 
* [[Satya#Provenance_Management_Framework | Provenance Management Framework]]
 
* [[Satya#Provenance_Management_Framework | Provenance Management Framework]]
 
* [[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.
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* [http://knoesis.org/?q=research/semMat SemMat: Federated Semantic Services Platform for Open Materials Science and Engineering]
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* [[SemViz]]: SemViz Homepage
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* [[Social Health Signals]]
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* [[SSW]]: Semantic Sensor Web Homepage
 
* [[Twarql]]: SPARQL Querying Streams of Tweets
 
* [[Twarql]]: SPARQL Querying Streams of Tweets
 
* [[Twitris]] : Twitris, a Semantic Web application that facilitates understanding of social perceptions by Semantics-based processing of massive amounts of event-centric data. Twitris 2.0 addresses challenges in large scale processing of social data, preserving spatio-temporal-thematic properties.
 
* [[Twitris]] : Twitris, a Semantic Web application that facilitates understanding of social perceptions by Semantics-based processing of massive amounts of event-centric data. Twitris 2.0 addresses challenges in large scale processing of social data, preserving spatio-temporal-thematic properties.
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* [[Trykipedia]] : Trykipedia Homepage
 
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* [[SemViz]]: SemViz Homepage
 
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* [[SSW]]: Semantic Sensor Web Homepage
 
 
* [[Trust]]: Trust in Interpersonal, Social, and Sensor Networks
 
* [[Trust]]: Trust in Interpersonal, Social, and Sensor Networks
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* [[Human Performance and Cognition Ontology]]
 
 
* [[Twitris]]: Twitter through Space, Theme and Time.
 
* [[Twitris]]: Twitter through Space, Theme and Time.
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* [[Social Health Signals]]
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* [[Trykipedia]] : Trykipedia Homepage
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* [[NSF Convergence Accelerator Track F: Actionable Sensemaking Tools for Curating and Authenticating Information in the Presence of Misinform]] : NSF Convergence Accelerator Track F: Actionable Sensemaking Tools for Curating and Authenticating Information in the Presence of Misinform
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= Articles =
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AIISC Library available online at <http://aiisc.ai/library>
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* [[Knowledge Graphs and Knowledge Networks: The Story in Brief]]
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* [[Augmented Personalized Health: How Smart Data with IoTs and AI is about to Change Healthcare]]
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* [[Semantics Empowered Social Computing]] : Semantics Empowered Social Computing
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* [[Blazing Semantic Trails]] : Relationship Web: Blazing Semantic Trails between Web Resources
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* [[Social Signals]] : A Playground for Mobile Sensors, Human Computing, and Semantic Analytics
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* [[Modeling for cloud]] : Semantic Modeling for Cloud computing
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* [[Computing For Human Experience]]: Computing For Human Experience
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* [[Continuous Semantics to Analyze Real Time_Data]]: Continuous Semantics to Analyze Real-Time Data
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* [[Citizen Sensing]] : Citizen Sensing, Social Signals, and Enriching Human Experience
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* [[PCS]]: Physical-Cyber-Social Computing: An Early 21st Century Approach to Computing for Human Experience
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* [[Twitris]]: Twitris- a System for Collective Social Intelligence
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* [[DAO]]: Drug Abuse Ontology
  
 
= Conference Resource Pages =
 
= Conference Resource Pages =

Latest revision as of 16:26, 19 February 2024

AI Institute is a Center at the University of South Carolina, founded under the Excellence Initiative program.

AIISC
The AI Institute, the University of South Carolina
Configured by aiisc
Web aiisc.ai


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

AIISC 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.

Projects and Themes

Active Projects


Archived Projects and Resources

Articles

AIISC Library available online at <http://aiisc.ai/library>

Conference Resource Pages

Instructions for Authors

You may want to use this template to describe your project.

If you are looking for the getting started instructions, follow the link.

Retrieved from "https://wiki.aiisc.ai/index.php?title=AIISC_WIKI&oldid=13608"