The set of algorithms that compose a search engine rely on the infor- mation contained in the document representation to perform their task. Most of the traditional approaches represent a document as a flat list of words, but this model encounters difficulties in linking information regarding the same object but referring to it using different words. Moreover this approach to document modeling can’t give information about the relationship insisting among objects appearing into a document. What we propose in this work, is a novel approach to document representation and query answering, which addresses the aforemen- tioned problems through: i) Entity-based representation of objects referenced in documents, ii) Representation of the document aware of the relationship insisting among the objects appearing in the text. We provide a test implementation of the approach presented in the paper and present the result of the tests performed to measure its performance.

Entity-Based Keyword Search in Web Documents / Sartori, Enrico; Velegrakis, Yannis; Guerra, Francesco. - In: TRANSACTIONS ON COMPUTATIONAL COLLECTIVE INTELLIGENCE. - ISSN 2190-9288. - STAMPA. - 9630:(2016), pp. 21-49. [10.1007/978-3-662-49521-6_2]

Entity-Based Keyword Search in Web Documents

GUERRA, Francesco
2016

Abstract

The set of algorithms that compose a search engine rely on the infor- mation contained in the document representation to perform their task. Most of the traditional approaches represent a document as a flat list of words, but this model encounters difficulties in linking information regarding the same object but referring to it using different words. Moreover this approach to document modeling can’t give information about the relationship insisting among objects appearing into a document. What we propose in this work, is a novel approach to document representation and query answering, which addresses the aforemen- tioned problems through: i) Entity-based representation of objects referenced in documents, ii) Representation of the document aware of the relationship insisting among the objects appearing in the text. We provide a test implementation of the approach presented in the paper and present the result of the tests performed to measure its performance.
2016
9630
21
49
Entity-Based Keyword Search in Web Documents / Sartori, Enrico; Velegrakis, Yannis; Guerra, Francesco. - In: TRANSACTIONS ON COMPUTATIONAL COLLECTIVE INTELLIGENCE. - ISSN 2190-9288. - STAMPA. - 9630:(2016), pp. 21-49. [10.1007/978-3-662-49521-6_2]
Sartori, Enrico; Velegrakis, Yannis; 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/11380/1095046
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 4
social impact