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Authors semantic disambiguation on heterogeneous bibliographic sources

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

2 Scopus citations

Abstract

Data ambiguity from various sources remains as a complex problem that affects services provided by digital libraries. From the point of view of integration of information from different sources, the challenge of author ambiguity is one of the most important, and there are numerous methods proposed to deal with this issue using different approaches. They generally work for some scenarios but they have important limitations, specially when dealing with heterogeneous sources. In this work, we review a group of existing methods and then propose a technique that combines some of them, also incorporating a measure of distance using semantic technologies to solve the ambiguity of authors while integrating bibliographic data from various sources. This technique has been successfully tested in disambiguating Ecuadorian authors from both internal sources (institutional repositories) and external digital libraries.

Original languageEnglish
Title of host publication2017 43rd Latin American Computer Conference, CLEI 2017
EditorsRodrigo Santos, Hector Monteverde
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-9
Number of pages9
ISBN (Electronic)9781538630570
DOIs
StatePublished - 18 Dec 2017
Event43rd Latin American Computer Conference, CLEI 2017 - Cordoba, Argentina
Duration: 4 Sep 20178 Sep 2017

Publication series

Name2017 43rd Latin American Computer Conference, CLEI 2017
Volume2017-January

Conference

Conference43rd Latin American Computer Conference, CLEI 2017
Country/TerritoryArgentina
CityCordoba
Period4/09/178/09/17

Keywords

  • Author Name Disambiguation
  • Digital libraries
  • Digital repositories
  • Linked Data

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