You are at the archived site of knoesis which is no longer updated. The new site is here.

Introduction

The kno.e.sis opensource initiative is an attempt to support the evolving standards and specifications in a variety of related fields and also to expose some of the early technologies for the benefit of fellow researchers. For more information, please email opensource AT knoesis.org.

Active Projects

Tools

  • SAWSDL4J: A clean object model for handling SAWSDL. The source and the binaries for this project can be downloaded from http://sawsdl4j.sourceforge.net/. The software is available for use under the Apache 2.0 license.
  • Twarql: Twarql investigate the representation of tweets as RDF in order to enable flexibility in handling the information overload of those interested in collectively analyzing social media for sensemaking. Twarql source can be accessed at https://sourceforge.net/projects/twarql/ and available under the BSD licence.
  • Cuebee: A flexible, extensible application for querying the semantic web. It provides a friendly interface to guide users through the process of formulating complex queries. Cuebee source can be accessed at http://cuebee.sourceforge.net/ and available under the Creative Commons Attribution-No Derivative Works 3.0 Unported License.
  • SA-REST Annotator: SA-REST is a specification about adding annotations to Web pages. SA-REST annotator is a Firefox based browser plugin that allows users to add SA-REST annotations and publish them. SA-REST Annotator source can be accessed at http://sarestannotator.sourceforge.net/ and available under the Apache 2.0 license.
  • The Doozer model creation framework extracts entities and relationships from text with the goal of building comprehensive formal models of emerging or continuously changing domains. Upon completion, the code will be made available here. Example domain models created with the prototype can be found on the project page: http://knoesis.org/research/semweb/projects/knowledge-extraction/
  • BLOOMS : An acronym for Bootstrapping-based Linked Open Data Ontology Matching System, BLOOMS is 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. Further details are available at BLOOMS Wiki page.
  • Scooner : Scooner is a prototype search application that integrating the Web of pages with the Linked Open Data. The following is a demo of Scooner. Or you can take a look at the wiki page.

Ontologies and Data sets

  • Sensor and Sensor Network (SSN) Ontology: The Sensor and Sensor Network ontology, known as the SSN ontology, answers the need for a domain-independent and end-to-end model for sensing applications by merging sensor-focused (e.g. SensorML), observation-focused (e.g. Observation & Measurement) and system-focused views. It covers the sub-domains which are sensor-specific such as the sensing principles and capabilities and can be used to define how a sensor will perform in a particular context to help characterise the quality of sensed data or to better task sensors in unpredictable environments. Although the ontology leaves the observed domain unspecified, domain semantics, units of measurement, time and time series, and location and mobility ontologies can be easily attached when instantiating the ontology for any particular sensors in a domain. The alignment between the SSN ontology and the DOLCE Ultra Lite upper ontology has helped to normalise the structure of the ontology to assist its use in conjunction with ontologies or linked data resources developed elsewhere. This ontology is publicly accessible via W3C.
  • Provenir : A reference ontology for modeling domain-specific provenance. Additional information and download with a Crieative Commons license is available at: http://wiki.knoesis.org/index.php/Provenir_Ontology.
  • Proteomics data and process provenance (ProPreO): ProPreO is a large glycoproteomics provenance ontology. The ProPreO schema includes 480 classes and attendant relations where as the populated ontology includes 3.1 million instances. More information is available at the Kno.e.sis ProPreO page. This ontology is publicly accessible via NCBO bioportal.
  • Parasite Experiment Ontology (PEO): The ontology comprehensively models the processes, instruments, parameters, and sample details that will be used to annotate experimental results with provenance metadata (derivation history of results). More details are avaialable in the PEO wiki page and the ontology can be publicly accessible via NCBO bioportal.
  • Parasite Life Cycle Ontology (PLO): PLO models the life cycle stage details of T.cruzi and two related kinetoplastids, Trypanosoma brucei and Leishmania major. More information on PLO is avaialable from the PLO wiki page and the ontology is available through NCBO bioportal.
  • Linked Sensor Data and Linked Observation Data: Linked Sensor Data an RDF dataset containing expressive descriptions of ~20,000 weather stations in the United States. Linked Observation Data is a 1.7 billion triple RDF dataset containing expressive descriptions of hurricane and blizzard observations in the United States. All data is also included in Linked Open Data Cloud.

Past Projects

Tools

  • Test Ontology Generation Tool (TOntoGen): TOntoGen generate large, high-quality data sets for testing semantic web applications. It has been implemented as a Protege plugin. TOntoGen can be downloaded from the LSDIS TOntoGen project page.
  • Radiant: Radiant is an Eclipse based graphical UI for annotating existing WSDL documents into WSDL-S or SAWSDL via an OWL Ontology. Radiant can be downloaded via the LSDIS Radiant project page.
  • BRAHMS: A fast main-memory RDF/S storage, capable of storing, accessing, and querying large ontologies.
  • Semantic Visualization Tools: Semantic Visualization [SemViz] was a subproject within SemDis project and developed some of the earliest Semantic Web/RDF visualization tools: Semantic Analytics Visualization [SAV] - a 3D visualization tool for semantic analytics, SET - Semantic EventTracker, a highly interactive visualization tool for tracking and associating activities (events), and Paged Graph Visualization [PGV].

Ontologies and Data sets

 
The content and opinions expressed on this Web page do not necessarily reflect the views of nor are they endorsed by the Wright State University
377 Joshi Research Center, 3640 Colonel Glenn Highway, Dayton, OH 45435 (+1 937-775-5217)