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Searching Web 2.0 Data Through Entity-Based Aggregation

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Transactions on Computational Collective Intelligence XXI

Part of the book series: Lecture Notes in Computer Science ((TCCI,volume 9630))

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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.

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Notes

  1. 1.

    http://www.thoora.com/.

  2. 2.

    http://www.daylife.com/.

  3. 3.

    http://project-voldemort.com/.

  4. 4.

    http://lucene.apache.org/solr/.

  5. 5.

    http://lucene.apache.org/.

  6. 6.

    The collections can be found at http://www.softnet.tuc.gr/~ioannou/entityrequests.html.

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Author information

Authors and Affiliations

  1. Technical University of Crete, Chania, Greece

    Ekaterini Ioannou

  2. University of Trento, Trento, Italy

    Yannis Velegrakis

Authors
  1. Ekaterini Ioannou
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  2. Yannis Velegrakis
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Correspondence to Ekaterini Ioannou .

Editor information

Editors and Affiliations

  1. Wrocław University of Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Swinburne University of Technology, Hawthorn, VIC, Australia

    Ryszard Kowalczyk

  3. CISUC, Department of Informatics Engineering, Universidade de Coimbra, Coimbra, Portugal

    Paulo Rupino da Cunha

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Ioannou, E., Velegrakis, Y. (2016). Searching Web 2.0 Data Through Entity-Based Aggregation. In: Nguyen, N.T., Kowalczyk, R., Rupino da Cunha, P. (eds) Transactions on Computational Collective Intelligence XXI. Lecture Notes in Computer Science(), vol 9630. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49521-6_7

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  • DOI: https://doi.org/10.1007/978-3-662-49521-6_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49520-9

  • Online ISBN: 978-3-662-49521-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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