Products

 

 

Seagent

SEAGENT is the single agent framework which is specialized to develop intelligent agents on the Semantic Web environment. SEAGENT artifacts are based on W3C standard semantic web language OWL. Using SEAGENT, you can program your multi-agent system above your domain ontology in Java. 
Semantic Web agents achieve user's goals using resources defined in Semantic Web languages. SEAGENT agents are designed to be integrated with the Semantic Web resources easily. Belief-base of SEAGENT agents is a SDB triple store, and goals and plans of the agents are programmed in OWL. 

Semantic Web agents achieve user's goals using resources defined in Semantic Web languages. SEAGENT agents are designed to be integrated with the Semantic Web resources easily. Belief-base of SEAGENT agents is a SDB triple store, and goals and plans of the agents are programmed in OWL.

       Project Features

  • Organization Editor
  • Ontology Editor
  • Plan Editor
  • Protocol Editor

Project Page Link Seagent

WoDQA

WoDQA is a federated query based tool to execute queries over the Web of Data. This tool uses VoID approach to  describe datasets. It also defines links between datasets by means

of linkset concept of VoID to discover more datasets for distribution of queries. It constructs a federated query which will be executed over distributed datasets.

You can try this tool from the following link:WoDQA SPARQL Form 

WoDQA contains 

  • Dataset Analyzer 
  • Query Optimzer 
  • Query Executor 

Project page link  WoDQA

Linked Data Environment

Linked data enviroment is implemented on top of CArtAgO agent environment framework. to monitor the dynamism of the linked data space, we present an extensible infrastructure that combines pull and push approaches to monitor the changes of SPARQL queries over the linked data space.  In the design of this infrastructure, environment abstraction of multi-agent systems domain is followed. Environment abstraction provides an extensible infrastructure and a push mechanism to developer for monitoring of SPARQL queries. On the pull side, a federated query engine is used which discovers right datasets during query time using the VoID metadata. The proposed infrastructure has been built upon the CArtAgO environment infrastructure and WoDQA federated query engine is incorporated with CArtAgO to handle dynamic discovery and execution of  monitored SPARQL queries. 

Go to Linked Data Environment page project page for more information. 

Bound ARQ

 Go to Bound Join Implementation for ARQ page