Semantic data structures for knowledge generation in open world information system

Marcelo Tibau, Sean Wolfgand Matsui Siqueira, Bernardo Pereira Nunes

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    As the amount of information grows exponentially online, Information Systems role in support knowledge flows encouraged by linked data increases as a driver to innovation, culture, business practices and people behavior. Web search engines are particularly affected by the open world challenges, notably as part of the growing digital ecosystems of networks and platforms of technology, media, and telecommunications (TMT) companies delivering personalized and customized services (e.g. Amazon in retailing, Uber in ride service hailing, food delivery, and bicycle-sharing system, and Airbnb in lodging). To recognize search intent drawn from user's behavior allows to provide personalized search results. The work presented in this paper has the purpose of exploring methods to represent semantic relationships between concepts indexed by Web search engines in order to aid them recognize search intent and display results that meet the search intent. The performance of two different types of data structures based on entity-centric indexing was compared. The data structures were: a knowledge base that used an entity-centric mapping of Wikipedia categories and the KBpedia Knowledge Graph. Through analysis of entity ranking and linking, we detected that the Knowledge Graph could identify approximately three times more properties and relationships, which increases Web search engines capability to "understand"what is being asked.

    Original languageEnglish
    Title of host publicationProceedings of 16th Brazilian Symposium on Information Systems
    Subtitle of host publication"Information Systems on Digital Transformation and Innovation", SBSI 2020
    EditorsDavi Viana dos Santos, Scheila de Avila e Silva, Andrea Magalhaes Magdaleno, Flavio E.A. Horita, Carlos A. Kamienski, Luis Rivero, Denis Fantinato, Clodis Boscarioli, Carlos Eduardo de Barros Paes, Rita Suzana Pitangueira Maciel, Marcelo Fantinato, Fabio Gomes Rocha, Thiago Ferreira Covoes, Leonardo Guerreiro Azevedo, Vladimir Rocha, Valdemar Vicente Graciano Neto, Francesquini Emilio de Camargo, Renata Araujo, Marcio Oikawa, Mirtha Venero
    PublisherAssociation for Computing Machinery
    ISBN (Electronic)9781450388733
    DOIs
    Publication statusPublished - 3 Nov 2020
    Event16th Brazilian Symposium on Information Systems: "Information Systems on Digital Transformation and Innovation", SBSI 2020 - Virtual, Online, Brazil
    Duration: 3 Nov 20206 Nov 2020

    Publication series

    NameACM International Conference Proceeding Series

    Conference

    Conference16th Brazilian Symposium on Information Systems: "Information Systems on Digital Transformation and Innovation", SBSI 2020
    Country/TerritoryBrazil
    CityVirtual, Online
    Period3/11/206/11/20

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