Entity-based searching has been introduced as a way of allowing users and applications to retrieve information about a specific real world object such as a person, an event, or a location. Recent advances in crawling, information extraction, and data exchange technologies have brought a new era in data management, typically referred to through the term Web 2.0. Entity searching over Web 2.0 data facilitates the retrieval of relevant information from the plethora of data available in semantic and social web applications. Effective entity searching over a variety of sources requires the integration of the different pieces of information that refer to the same real world entity. Entity-based aggregation of Web 2.0 data is an effective mechanism towards this direction. Adopting the suggestions of the Linked Data movement, aggregators are able to efficiently match and merge the data that refer to the same real world object.

Searching Web 2.0 data through entity-based aggregation / Ioannou, Ekaterini; Velegrakis, Ioannis. - In: TRANSACTIONS ON COMPUTATIONAL COLLECTIVE INTELLIGENCE. - ISSN 2190-9288. - 21:(2016), pp. 159-174. [10.1007/978-3-662-49521-6_7]

Searching Web 2.0 data through entity-based aggregation

Velegrakis, Ioannis
2016-01-01

Abstract

Entity-based searching has been introduced as a way of allowing users and applications to retrieve information about a specific real world object such as a person, an event, or a location. Recent advances in crawling, information extraction, and data exchange technologies have brought a new era in data management, typically referred to through the term Web 2.0. Entity searching over Web 2.0 data facilitates the retrieval of relevant information from the plethora of data available in semantic and social web applications. Effective entity searching over a variety of sources requires the integration of the different pieces of information that refer to the same real world entity. Entity-based aggregation of Web 2.0 data is an effective mechanism towards this direction. Adopting the suggestions of the Linked Data movement, aggregators are able to efficiently match and merge the data that refer to the same real world object.
2016
Ioannou, Ekaterini; Velegrakis, Ioannis
Searching Web 2.0 data through entity-based aggregation / Ioannou, Ekaterini; Velegrakis, Ioannis. - In: TRANSACTIONS ON COMPUTATIONAL COLLECTIVE INTELLIGENCE. - ISSN 2190-9288. - 21:(2016), pp. 159-174. [10.1007/978-3-662-49521-6_7]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/164616
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