Welcome to kno.e.sis

Ten years ago we had billions of web pages, and now we have roughly 5 billion people using mobile phones, collecting observations, and sharing what they think using SMS (Social Media Services), Twitter, and Facebook. Worldwide, there are currently over 40 billion mobile sensors, with more smart devices being created each day, which make up the Internet of Things.

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We make technical advances in these CS areas, and apply them to solve real-world problems:
  • Semantic Web
  • Network Science
  • Big and Smart Data Science
  • Data Mining
  • Machine Learning
  • Natural Language Understanding
  • Graph DB & Reasoning
  • Cloud Computing
  • Visualization
  • Stream Reasoning
  • Information Extraction
We address major human, social, and economic development challenges through analysis of social, sensor/IoT, and scientific Big Data:
  • Smart City
  • Gender-based Violence
  • Human Trafficking
  • Juvenile Crime Reduction
  • Harassment on Social Media
  • Coordination During Disasters
  • Detection of Depressive Behavior
As an Ohio Center of Excellent in BioHealth Innovation, we are engaged in a number of a number of personalized digital health and healthcare informatics activities related to:
  • Clinical text understanding
  • Asthma in Children
  • Reducing Rehospitalization of ADHF & GI patients
  • Biomarkers for Esophageal Cancer
  • Dementia

Introduction to Activities & Projects

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Projects at Kno.e.sis

Modeling Social Behavior for Healthcare Utilization in Depression

Depression is one of the most common mental disorders in the U.S. and is the leading cause of disability affecting millions of Americans every year. Successful early identification and treatment of depression can lead to many other positive health and behavioral outcomes across the lifespan.

Hazards SEES: Social and Physical Sensing Enabled Decision Support

Infrastructure systems are a cornerstone of civilization. Damage to infrastructure from natural disasters such as an earthquake (e.g. Haiti, Japan), a hurricane (e.g. Katrina, Sandy) or a flood (e.g. Kashmir floods) can lead to significant economic loss and societal suffering. Human coordination and information exchange are at the center of damage control.

Context-Aware Harassment Detection on Social Media

The aim of this project is to develop comprehensive and reliable context-aware techniques (using machine learning, text mining, natural language processing, and social network analysis) to glean information about the people involved and their interconnected network of relationships, and to determine and evaluate potential harassment and harassers.

Westwood Partnership to Prevent Juvenile Repeat Violent Offenders

An interdisciplinary project involving the Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis) at Wright State University with other Dayton community partners to prevent juvenile repeat offenders from committing crime in the Westwood neighborhood located in the City of Dayton, Ohio.