The SEWASIE Project
FacoltÓ di Ingegneria - sede di Modena
Università di Modena e Reggio Emilia
SEWASIE: Semantic Webs and AgentS in Integrated Economies
from the European Commission
Contract Number IST-2001-34825
degli Studi di Modena e Reggio Emilia
CNA SERVIZI Modena s.c.a.r.l
UniversitÓ degli Studi di Roma "La Sapienza"
Rheinisch Westfaelische Technische Hochschule Aachen
Thinking Networks AG
IBM Italia SPA
Fraunhofer-Gesellschaft zur F÷rderung der angewandten Forschung eingetragener Verein
Free University of Bozen - Bolzano
get better targeted Web searches
(from IST Results Web-site)
SEWASIE is a 36 months research project, started in May 2002. SEWASIE aims at implementing and advanced search engine, which will provide European SMEs with intelligent access to heterogeneous information on the Internet. This will overrun current information retrieving tools, that often are difficult to use and produce pages of links (mostly worthless) from a simple query.
Laying on an architecture that organises information on its semantic values, SEWASIE search engine will detect meaningful data, complying with usersĺ preferences.
SEWASIE will also provide the system with communication facilities for business contacts. Integrating the searching and negotiating facilities in user-friendly interfaces, SEWASIE will reduce transaction costs for SMEs, powerfully enhancing their access to key technologies and business opportunities.
The SEWASIE architecture, as actually envisaged, is shown in Figure 1.
SEWASIE will design and implement an advanced search engine that provides access via a machine-processable semantics of data, which can give the ground to structured web-based communication, overrunning current information retrieving tools. Multilingual ontologies will be created and maintained, with an inference layer grounded in W3C standards (XML, XML Schema, RDF(S)), that are the basis for the advanced search mechanisms.
The system will be an open and distributed architecture based on intelligent agents (brokers, mediators and wrappers) and will accommodate scalability and flexibility issues.
Special Query Agents will support users when querying heterogeneous web information sources. The query agent will move through SEWASIE information nodes and retrieve the information requested by the user. Information nodes are independent components that semantically enrich existing data sources by linking the data to ontologies and other metadata. The system will also be capable of real-life business evaluation of the results, developing tools which solve the problem in a usable, marketable way.