[Software] Università degli Studi di Modena e Reggio Emilia, and CNA SERVIZI Modena s.c.a.r.l, and Università degli Studi di Roma "La Sapienza", and Rheinisch Westfaelische Technische Hochschule Aachen, and Thinking Networks AG, and IBM Italia SPA, and Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung eingetragener Verein, and Free University of Bozen - Bolzano,
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SEWASIE implemented an advanced search engine that provides access via a machine-processable semantics of data overrunning current information retrieving tools.
Multilingual ontologies are the basis for the advanced search mechanisms; they are created and maintained with the MOMIS Ontology Builder grounded in W3C standards (XML, XML Schema, RDF(S)). The system provides an open and distributed architecture based on intelligent agents (brokers, mediators and wrappers), implemented in JADE, and supports scalability and flexibility. Ontology based user interface support users when querying heterogeneous web information sources. A user query is processed by a query agent that moves through SEWASIE Information Nodes and retrieve the requested information. Information Nodes are components that semantically enrich existing data sources by linking the data to ontologies and other metadata. The system is also capable of real-life business evaluation of the results, developing tools which solve the problem in a usable, marketable way.
Application Areas: Application Development
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