SEWASIE (SEmantic Webs and AgentS in Integrated Economies) aims to design and implement an advanced search engine enabling intelligent access to heterogeneous data sources on the web via semantic enrichment to provide the basis of structured secure web-based communication. SEWASIE implemented an advanced search engine that provides intelligent access to heterogeneous data sources on the web via semantic enrichment to provide the basis of structured secure web-based communication. SEWASIE provides users with a search client that has an easy-to-use query interface, and which can extract the required information from the Internet and can show it in a useful and user-friendly format. From an architectural point of view, the prototype provides a search engine client and indexing servers and ontologies.

SEWASIE - SEmantic Webs and AgentS in Integrated Economies / Bergamaschi, Sonia; Beneventano, Domenico; Vincini, Maurizio; Guerra, Francesco. - ELETTRONICO. - (2005).

SEWASIE - SEmantic Webs and AgentS in Integrated Economies.

BERGAMASCHI, Sonia;BENEVENTANO, Domenico;VINCINI, Maurizio;GUERRA, Francesco
2005

Abstract

SEWASIE (SEmantic Webs and AgentS in Integrated Economies) aims to design and implement an advanced search engine enabling intelligent access to heterogeneous data sources on the web via semantic enrichment to provide the basis of structured secure web-based communication. SEWASIE implemented an advanced search engine that provides intelligent access to heterogeneous data sources on the web via semantic enrichment to provide the basis of structured secure web-based communication. SEWASIE provides users with a search client that has an easy-to-use query interface, and which can extract the required information from the Internet and can show it in a useful and user-friendly format. From an architectural point of view, the prototype provides a search engine client and indexing servers and ontologies.
2005
Bergamaschi, Sonia; Beneventano, Domenico; Vincini, Maurizio; Guerra, Francesco
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/882089
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact