SIREN: a similarity retrieval engine for complex data

  • Authors:
  • Maria Camila N. Barioni;Humberto Razente;Agma Traina;Caetano Traina, Jr.

  • Affiliations:
  • Computer Sciences Department - ICMC/USP, São Carlos, SP, Brazil;Computer Sciences Department - ICMC/USP, São Carlos, SP, Brazil;Computer Sciences Department - ICMC/USP, São Carlos, SP, Brazil;Computer Sciences Department - ICMC/USP, São Carlos, SP, Brazil

  • Venue:
  • VLDB '06 Proceedings of the 32nd international conference on Very large data bases
  • Year:
  • 2006

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Abstract

This paper presents a similarity retrieval engine - SIREN-that allows posing similarity queries in a relational DBMS using an extended syntax that adds the support for such type of queries in the SQL language. It discusses the main architecture of SIREN, describes some key features and provides a description of the demo.