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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.

Kno.e.sis
Kno.e.sis, Ohio Center of Excellence in Knowledge-enabled Computing
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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.

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.

Articles

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

Projects by Category

Projects by Title

Active Projects


Archived Projects

  • 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.
  • 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. Cirrocumulus : The Cloud Application Platform
  • Cloud Computing Research at Kno.e.sis :
  • 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.
  • 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 :
  • Kino : A combination of browser plugin and back-end Indexer
  • KDDM: AFRL/RX Materials Database Knowledge Discovery and Data Mining:
  • Knowledge-Aware-Search :
  • Linked Open Social Signals: Handling information overload in collectively analyzing observations, opinions and other social signals from the Web
  • MIDAS
  • MobiCloud  : MobiCloud Web based Composer
  • PCS : Physical-Cyber-Social Computing
  • 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.
  • 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 Annotator : Annotation plugin for SA-REST
  • 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.
  • SemMat: Federated Semantic Services Platform for Open Materials Science and Engineering
  • SemViz: SemViz Homepage
  • Social Health Signals
  • SSW: Semantic Sensor Web Homepage
  • 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.
  • Trust: Trust in Interpersonal, Social, and Sensor Networks
  • Twitris: Twitter through Space, Theme and Time.
  • Trykipedia : Trykipedia Homepage

Conference Resource Pages

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